Comparative study on noise-augmented training and its effect on adversarial robustness in ASR systems.

Asja Fischer https://sites.google.com/site/asjafischer/ http://sda.cs.uni-bonn.de/people/dr-asja-fischer/ https://mila.quebec/en/person/asja-fischer/ https://scholar.google.com/citations?user=FyZbyIUAAAAJ https://www.linkedin.com/in/asja-fischer-32007a94 https://orcid.org/0000-0002-1916-7033 https://www.wikidata.org/entity/Q58230230 https://d-nb.info/gnd/1012151875 University of Bonn, Institute of Computer Science, Germany University of Montreal, Institute for Learning Algorithms, QC, Canada University of Copenhagen, Department of Computer Science, Denmark Ruhr University of Bochum, Institute for Neural Computation, Germany

Karla Pizzi Matias Pizarro Asja Fischer Comparative study on noise-augmented training and its effect on adversarial robustness in ASR systems. 101869 2026 96 Comput. Speech Lang. https://doi.org/10.1016/j.csl.2025.101869 db/journals/csl/csl96.html#PizziPF26 streams/journals/csl

Sandra Höltervennhoff Jonas Ricker Maike M. Raphael Charlotte Schwedes Rebecca Weil Asja Fischer Thorsten Holz Lea Schönherr Sascha Fahl "That's another doom I haven't thought about": A User Study on AI Labels as a Safeguard Against Image-Based Misinformation. 38:1-38:32 2026 CHI https://doi.org/10.1145/3772318.3791006 conf/chi/2026 db/conf/chi/chi2026.html#HoltervennhoffR26 Benedikt Franke Nils Förster Frank Köster Markus Lange Arne P. Raulf Asja Fischer Revisiting Neural Activation Coverage for Uncertainty Estimation. 2026 ESANN https://doi.org/10.14428/esann/2026.ES2026-29 conf/esann/2026 db/conf/esann/esann2026.html#FrankeFKLRF26

Christian Gehrmann 0002 Jonas Ricker Simon Damm Deruo Cheng Julian Speith Yiqiong Shi Asja Fischer Christof Paar SAMSEM - A Generic and Scalable Approach for IC Metal Line Segmentation. 2026 March abs/2603.16548 CoRR https://doi.org/10.48550/arXiv.2603.16548 db/journals/corr/corr2603.html#abs-2603-16548 streams/journals/corr

Matías P. Pizarro B. Raghavan Narasimhan Asja Fischer Precision-Varying Prediction (PVP): Robustifying ASR systems against adversarial attacks. 2026 March abs/2603.22590 CoRR https://doi.org/10.48550/arXiv.2603.22590 db/journals/corr/corr2603.html#abs-2603-22590 streams/journals/corr

Andreas Müller 0025 Denis Lukovnikov Shingo Kodama Minh Pham Anubhav Jain 0002 Jonathan Petit Niv Cohen Asja Fischer On the Robustness of Watermarking for Autoregressive Image Generation. 2026 April abs/2604.11720 CoRR https://doi.org/10.48550/arXiv.2604.11720 db/journals/corr/corr2604.html#abs-2604-11720 streams/journals/corr

Benedikt Franke Nils Förster Frank Köster Asja Fischer Markus Lange Arne P. Raulf Revisiting Neural Activation Coverage for Uncertainty Estimation. 2026 April abs/2604.22360 CoRR https://doi.org/10.48550/arXiv.2604.22360 db/journals/corr/corr2604.html#abs-2604-22360 streams/journals/corr

Zahra Dehghanighobadi Asja Fischer DepthKV: Layer-Dependent KV Cache Pruning for Long-Context LLM Inference. 2026 April abs/2604.24647 CoRR https://doi.org/10.48550/arXiv.2604.24647 db/journals/corr/corr2604.html#abs-2604-24647 streams/journals/corr

Laura Manduchi Clara Meister Kushagra Pandey Robert Bamler Ryan Cotterell Sina Däubener Sophie Fellenz Asja Fischer Thomas Gärtner 0004 Matthias Kirchler Marius Kloft Yingzhen Li Christoph Lippert Gerard de Melo Eric T. Nalisnick Björn Ommer Rajesh Ranganath Maja Rudolph Karen Ullrich Guy Van den Broeck Julia E. Vogt Yixin Wang Florian Wenzel Frank Wood Stephan Mandt Vincent Fortuin On the Challenges and Opportunities in Generative AI. 2025 2025 Trans. Mach. Learn. Res. https://openreview.net/forum?id=NeS9Kj2JwF db/journals/tmlr/tmlr2025.html#ManduchiMPBCDFFGKKLLMNO25 streams/journals/tmlr

Simon Damm Asja Fischer Alexander May 0001 Soundes Marzougui Leander Schwarz Henning Seidler Jean-Pierre Seifert Jonas Thietke Vincent Quentin Ulitzsch Solving Concealed ILWE and Its Application for Breaking Masked Dilithium. 608-640 2025 ASIACRYPT (2) https://doi.org/10.1007/978-981-95-5096-8_19 conf/asiacrypt/2025-2 db/conf/asiacrypt/asiacrypt2025-2.html#DammFMMSSSTU25 streams/conf/asiacrypt Andreas Müller 0025 Denis Lukovnikov Jonas Thietke Asja Fischer Erwin Quiring Black-Box Forgery Attacks on Semantic Watermarks for Diffusion Models. 20937-20946 2025 CVPR https://openaccess.thecvf.com/content/CVPR2025/html/Muller_Black-Box_Forgery_Attacks_on_Semantic_Watermarks_for_Diffusion_Models_CVPR_2025_paper.html https://doi.org/10.1109/CVPR52734.2025.01950 conf/cvpr/2025 db/conf/cvpr/cvpr2025.html#0025LTFQ25 Zahra Dehghanighobadi Asja Fischer Muhammad Bilal Zafar Can LLMs Explain Themselves Counterfactually? 7787-7815 2025 EMNLP https://doi.org/10.18653/v1/2025.emnlp-main.396 conf/emnlp/2025 db/conf/emnlp/emnlp2025.html#DehghanighobadiFZ25 streams/conf/emnlp Denis Lukovnikov Asja Fischer Enabling ControlNet to follow Localized Descriptions Using Cross-Attention Control. 310-327 2025 ECML/PKDD (2) https://doi.org/10.1007/978-3-032-05981-9_19 conf/pkdd/2025-2 db/conf/pkdd/pkdd2025-2.html#LukovnikovF25 streams/conf/pkdd Sina Däubener Simon Damm Asja Fischer ELBO, regularized maximum likelihood, and their common one-sample approximation for training stochastic neural networks. 897-914 2025 UAI https://proceedings.mlr.press/v286/daubener25a.html conf/uai/2025 db/conf/uai/uai2025.html#DaubenerDF25 streams/conf/uai Simon Damm Mike Laszkiewicz Johannes Lederer Asja Fischer AnomalyDINO: Boosting Patch-based Few-Shot Anomaly Detection with DINOv2. 1319-1329 2025 WACV https://doi.org/10.1109/WACV61041.2025.00136 conf/wacv/2025 db/conf/wacv/wacv2025.html#DammLLF25

Jan Warnken Dmytro Velychko Simon Damm Asja Fischer Jörg Lücke Generative Models with ELBOs Converging to Entropy Sums. 2025 January abs/2501.09022 CoRR https://doi.org/10.48550/arXiv.2501.09022 db/journals/corr/corr2501.html#abs-2501-09022 streams/journals/corr

Zahra Dehghanighobadi Asja Fischer Muhammad Bilal Zafar Can LLMs Explain Themselves Counterfactually? 2025 February abs/2502.18156 CoRR https://doi.org/10.48550/arXiv.2502.18156 db/journals/corr/corr2502.html#abs-2502-18156 streams/journals/corr

Jonas Thietke Andreas Müller 0025 Denis Lukovnikov Asja Fischer Erwin Quiring Towards A Correct Usage of Cryptography in Semantic Watermarks for Diffusion Models. 2025 March abs/2503.11404 CoRR https://doi.org/10.48550/arXiv.2503.11404 db/journals/corr/corr2503.html#abs-2503-11404 streams/journals/corr

Sandra Höltervennhoff Jonas Ricker Maike M. Raphael Charlotte Schwedes Rebecca Weil Asja Fischer Thorsten Holz Lea Schönherr Sascha Fahl Security Benefits and Side Effects of Labeling AI-Generated Images. 2025 May abs/2505.22845 CoRR https://doi.org/10.48550/arXiv.2505.22845 db/journals/corr/corr2505.html#abs-2505-22845 streams/journals/corr

Hicham Eddoubi Jonas Ricker Federico Cocchi Lorenzo Baraldi 0002 Angelo Sotgiu Maura Pintor Marcella Cornia Lorenzo Baraldi 0001 Asja Fischer Rita Cucchiara Battista Biggio RAID: A Dataset for Testing the Adversarial Robustness of AI-Generated Image Detectors. 2025 June abs/2506.03988 CoRR https://doi.org/10.48550/arXiv.2506.03988 db/journals/corr/corr2506.html#abs-2506-03988 streams/journals/corr

Jens Püttschneider Simon Heilig Asja Fischer Timm Faulwasser Towards an Optimal Control Perspective of ResNet Training. 2025 June abs/2506.21453 CoRR https://doi.org/10.48550/arXiv.2506.21453 db/journals/corr/corr2506.html#abs-2506-21453 streams/journals/corr

Denis Lukovnikov Andreas Müller 0025 Erwin Quiring Asja Fischer Towards Robust Red-Green Watermarking for Autoregressive Image Generators. 2025 August abs/2508.06656 CoRR https://doi.org/10.48550/arXiv.2508.06656 db/journals/corr/corr2508.html#abs-2508-06656 streams/journals/corr

Simon Damm Jonas Ricker Henning Petzka Asja Fischer PRADA: Probability-Ratio-Based Attribution and Detection of Autoregressive-Generated Images. 2025 November abs/2511.20068 CoRR https://doi.org/10.48550/arXiv.2511.20068 db/journals/corr/corr2511.html#abs-2511-20068 streams/journals/corr

Simon Damm Asja Fischer Alexander May 0001 Soundes Marzougui Leander Schwarz Henning Seidler Jean-Pierre Seifert Jonas Thietke Vincent Quentin Ulitzsch Solving Concealed ILWE and its Application for Breaking Masked Dilithium. 1629 2025 2025 IACR Cryptol. ePrint Arch. https://eprint.iacr.org/2025/1629 db/journals/iacr/iacr2025.html#DammFMMSSSTU25 streams/journals/iacr

Joachim Sicking Maram Akila Maximilian Pintz Tim Wirtz Stefan Wrobel Asja Fischer Wasserstein dropout. 3161-3204 2024 May 113 Mach. Learn. 5 https://doi.org/10.1007/s10994-022-06230-8 db/journals/ml/ml113.html#SickingAPWWF24

Dmytro Velychko Simon Damm Asja Fischer Jörg Lücke Learning Sparse Codes with Entropy-Based ELBOs. 2089-2097 2024 AISTATS https://proceedings.mlr.press/v238/velychko24a.html conf/aistats/2024 db/conf/aistats/aistats2024.html#VelychkoDFL24 Jonas Ricker Denis Lukovnikov Asja Fischer AEROBLADE: Training-Free Detection of Latent Diffusion Images Using Autoencoder Reconstruction Error. 9130-9140 2024 CVPR https://doi.org/10.1109/CVPR52733.2024.00872 conf/cvpr/2024 db/conf/cvpr/cvpr2024.html#RickerLF24 Yulian Sun Li Duan Ricardo Mendes Derui Zhu Yue Xia Yong Li 0021 Asja Fischer Exploiting Internal Randomness for Privacy in Vertical Federated Learning. 390-409 2024 ESORICS (2) https://doi.org/10.1007/978-3-031-70890-9_20 conf/esorics/2024-2 db/conf/esorics/esorics2024-2.html#SunDMZXLF24 streams/conf/esorics Mike Laszkiewicz Imant Daunhawer Julia E. Vogt Asja Fischer Johannes Lederer Benchmarking the Fairness of Image Upsampling Methods. 489-517 2024 FAccT https://doi.org/10.1145/3630106.3658921 conf/fat/2024 db/conf/fat/facct2024.html#LaszkiewiczDVFL24 Linara Adilova Maksym Andriushchenko Michael Kamp Asja Fischer Martin Jaggi Layer-wise linear mode connectivity. 2024 ICLR https://openreview.net/forum?id=LfmZh91tDI conf/iclr/2024 db/conf/iclr/iclr2024.html#AdilovaAKFJ24 Mike Laszkiewicz Jonas Ricker Johannes Lederer Asja Fischer Single-Model Attribution of Generative Models Through Final-Layer Inversion. 2024 ICML https://proceedings.mlr.press/v235/laszkiewicz24a.html https://openreview.net/forum?id=Hs9GcILuZN conf/icml/2024 db/conf/icml/icml2024.html#LaszkiewiczRLF24 26007-26042 Jonas Ricker Dennis Assenmacher Thorsten Holz Asja Fischer Erwin Quiring AI-Generated Faces in the Real World: A Large-Scale Case Study of Twitter Profile Images. 513-530 2024 RAID https://doi.org/10.1145/3678890.3678922 https://www.wikidata.org/entity/Q131164442 conf/raid/2024 db/conf/raid/raid2024.html#RickerAHFQ24 Joel Frank Franziska Herbert Jonas Ricker Lea Schönherr Thorsten Eisenhofer Asja Fischer Markus Dürmuth Thorsten Holz A Representative Study on Human Detection of Artificially Generated Media Across Countries. 55-73 2024 SP https://doi.org/10.1109/SP54263.2024.00159 conf/sp/2024 db/conf/sp/sp2024.html#FrankHRSEFDH24 streams/conf/sp Matías P. Pizarro B. Dorothea Kolossa Asja Fischer DistriBlock: Identifying adversarial audio samples by leveraging characteristics of the output distribution. 2956-2988 2024 UAI https://proceedings.mlr.press/v244/pizarro24a.html conf/uai/2024 db/conf/uai/uai2024.html#BKF24 Kira Maag Asja Fischer Uncertainty-Based Detection of Adversarial Attacks in Semantic Segmentation. 37-46 2024 VISIGRAPP (2): VISAPP https://doi.org/10.5220/0012303500003660 conf/visigrapp/2024-2 db/conf/visigrapp/visigrapp2024-2.html#MaagF24 Jonas Ricker Simon Damm Thorsten Holz Asja Fischer Towards the Detection of Diffusion Model Deepfakes. 446-457 2024 VISIGRAPP (4): VISAPP https://doi.org/10.5220/0012422000003660 conf/visigrapp/2024-4 db/conf/visigrapp/visigrapp2024-4.html#RickerDHF24 Kira Maag Asja Fischer Uncertainty-weighted Loss Functions for Improved Adversarial Attacks on Semantic Segmentation. 3894-3902 2024 WACV https://doi.org/10.1109/WACV57701.2024.00386 conf/wacv/2024 db/conf/wacv/wacv2024.html#MaagF24 Jonas Ricker Simon Damm Thorsten Holz Asja Fischer Towards the Detection of Diffusion Model Deepfakes (Additional Datasets). 2024 January https://doi.org/10.5281/zenodo.10454275 Zenodo streams/repo/zenodo

Mike Laszkiewicz Imant Daunhawer Julia E. Vogt Asja Fischer Johannes Lederer Benchmarking the Fairness of Image Upsampling Methods. 2024 abs/2401.13555 CoRR https://doi.org/10.48550/arXiv.2401.13555 db/journals/corr/corr2401.html#abs-2401-13555

Jonas Ricker Denis Lukovnikov Asja Fischer AEROBLADE: Training-Free Detection of Latent Diffusion Images Using Autoencoder Reconstruction Error. 2024 abs/2401.17879 CoRR https://doi.org/10.48550/arXiv.2401.17879 db/journals/corr/corr2401.html#abs-2401-17879

Denis Lukovnikov Asja Fischer Layout-to-Image Generation with Localized Descriptions using ControlNet with Cross-Attention Control. 2024 abs/2402.13404 CoRR https://doi.org/10.48550/arXiv.2402.13404 db/journals/corr/corr2402.html#abs-2402-13404

Laura Manduchi Kushagra Pandey Robert Bamler Ryan Cotterell Sina Däubener Sophie Fellenz Asja Fischer Thomas Gärtner 0004 Matthias Kirchler Marius Kloft Yingzhen Li Christoph Lippert Gerard de Melo Eric T. Nalisnick Björn Ommer Rajesh Ranganath Maja Rudolph Karen Ullrich Guy Van den Broeck Julia E. Vogt Yixin Wang Florian Wenzel Frank Wood Stephan Mandt Vincent Fortuin On the Challenges and Opportunities in Generative AI. 2024 abs/2403.00025 CoRR https://doi.org/10.48550/arXiv.2403.00025 db/journals/corr/corr2403.html#abs-2403-00025

Jonas Ricker Dennis Assenmacher Thorsten Holz Asja Fischer Erwin Quiring AI-Generated Faces in the Real World: A Large-Scale Case Study of Twitter Profile Images. 2024 abs/2404.14244 CoRR https://doi.org/10.48550/arXiv.2404.14244 db/journals/corr/corr2404.html#abs-2404-14244

Simon Damm Mike Laszkiewicz Johannes Lederer Asja Fischer AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2. 2024 abs/2405.14529 CoRR https://doi.org/10.48550/arXiv.2405.14529 db/journals/corr/corr2405.html#abs-2405-14529

Sidak Pal Singh Linara Adilova Michael Kamp Asja Fischer Bernhard Schölkopf Thomas Hofmann 0001 Landscaping Linear Mode Connectivity. 2024 abs/2406.16300 CoRR https://doi.org/10.48550/arXiv.2406.16300 db/journals/corr/corr2406.html#abs-2406-16300

Kira Maag Roman Resner Asja Fischer Detecting Adversarial Attacks in Semantic Segmentation via Uncertainty Estimation: A Deep Analysis. 2024 abs/2408.10021 CoRR https://doi.org/10.48550/arXiv.2408.10021 db/journals/corr/corr2408.html#abs-2408-10021 streams/journals/corr

Karla Pizzi Matías P. Pizarro B. Asja Fischer Reassessing Noise Augmentation Methods in the Context of Adversarial Speech. 2024 abs/2409.01813 CoRR https://doi.org/10.48550/arXiv.2409.01813 db/journals/corr/corr2409.html#abs-2409-01813 streams/journals/corr

Sina Mavali Jonas Ricker David Pape Yash Sharma Asja Fischer Lea Schönherr Fake It Until You Break It: On the Adversarial Robustness of AI-generated Image Detectors. 2024 abs/2410.01574 CoRR https://doi.org/10.48550/arXiv.2410.01574 db/journals/corr/corr2410.html#abs-2410-01574 streams/journals/corr

Sina Däubener Kira Maag David Krueger 0001 Asja Fischer Integrating uncertainty quantification into randomized smoothing based robustness guarantees. 2024 abs/2410.20432 CoRR https://doi.org/10.48550/arXiv.2410.20432 db/journals/corr/corr2410.html#abs-2410-20432 streams/journals/corr

Matias Pizarro Mike Laszkiewicz Dorothea Kolossa Asja Fischer Single-Model Attribution for Spoofed Speech via Vocoder Fingerprints in an Open-World Setting. 2024 abs/2411.14013 CoRR https://doi.org/10.48550/arXiv.2411.14013 db/journals/corr/corr2411.html#abs-2411-14013 streams/journals/corr

Andreas Müller 0025 Denis Lukovnikov Jonas Thietke Asja Fischer Erwin Quiring Black-Box Forgery Attacks on Semantic Watermarks for Diffusion Models. 2024 abs/2412.03283 CoRR https://doi.org/10.48550/arXiv.2412.03283 db/journals/corr/corr2412.html#abs-2412-03283 streams/journals/corr

Yulian Sun Li Duan Ricardo Mendes Derui Zhu Yue Xia Yong Li 0021 Asja Fischer Exploiting Internal Randomness for Privacy in Vertical Federated Learning. 671 2024 2024 IACR Cryptol. ePrint Arch. https://eprint.iacr.org/2024/671 db/journals/iacr/iacr2024.html#SunDMZXLF24

Simon Damm Dennis Forster Dmytro Velychko Zhenwen Dai Asja Fischer Jörg Lücke The ELBO of Variational Autoencoders Converges to a Sum of Entropies. 3931-3960 2023 AISTATS https://proceedings.mlr.press/v206/damm23a.html conf/aistats/2023 db/conf/aistats/aistats2023.html#DammFVDFL23 Linara Adilova Bernhard C. Geiger Asja Fischer Information Plane Analysis for Dropout Neural Networks. 2023 ICLR https://openreview.net/forum?id=bQB6qozaBw conf/iclr/2023 db/conf/iclr/iclr2023.html#AdilovaGF23 Massih-Reza Amini Stéphane Canu Asja Fischer Tias Guns Petra Kralj Novak Grigorios Tsoumakas Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part I ECML/PKDD (1) Springer 2023 Lecture Notes in Computer Science 13713 978-3-031-26386-6 978-3-031-26387-3 https://doi.org/10.1007/978-3-031-26387-3 db/conf/pkdd/pkdd2022-1.html Massih-Reza Amini Stéphane Canu Asja Fischer Tias Guns Petra Kralj Novak Grigorios Tsoumakas Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part II ECML/PKDD (2) Springer 2023 Lecture Notes in Computer Science 13714 978-3-031-26389-7 978-3-031-26390-3 https://doi.org/10.1007/978-3-031-26390-3 db/conf/pkdd/pkdd2022-2.html Massih-Reza Amini Stéphane Canu Asja Fischer Tias Guns Petra Kralj Novak Grigorios Tsoumakas Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part III ECML/PKDD (3) Springer 2023 Lecture Notes in Computer Science 13715 978-3-031-26408-5 978-3-031-26409-2 https://doi.org/10.1007/978-3-031-26409-2 db/conf/pkdd/pkdd2022-3.html Massih-Reza Amini Stéphane Canu Asja Fischer Tias Guns Petra Kralj Novak Grigorios Tsoumakas Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part IV ECML/PKDD (4) Springer 2023 Lecture Notes in Computer Science 13716 978-3-031-26411-5 978-3-031-26412-2 https://doi.org/10.1007/978-3-031-26412-2 db/conf/pkdd/pkdd2022-4.html Massih-Reza Amini Stéphane Canu Asja Fischer Tias Guns Petra Kralj Novak Grigorios Tsoumakas Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part V ECML/PKDD (5) Springer 2023 Lecture Notes in Computer Science 13717 978-3-031-26418-4 978-3-031-26419-1 https://doi.org/10.1007/978-3-031-26419-1 db/conf/pkdd/pkdd2022-5.html Massih-Reza Amini Stéphane Canu Asja Fischer Tias Guns Petra Kralj Novak Grigorios Tsoumakas Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part VI ECML/PKDD (6) Springer 2023 Lecture Notes in Computer Science 13718 978-3-031-26421-4 978-3-031-26422-1 https://doi.org/10.1007/978-3-031-26422-1 db/conf/pkdd/pkdd2022-6.html Jonas Ricker Simon Damm Thorsten Holz Asja Fischer Towards the Detection of Diffusion Model Deepfakes (Dataset). 2023 January https://doi.org/10.5281/zenodo.7528113 Zenodo streams/repo/zenodo

Linara Adilova Bernhard C. Geiger Asja Fischer Information Plane Analysis for Dropout Neural Networks. 2023 abs/2303.00596 CoRR https://doi.org/10.48550/arXiv.2303.00596 db/journals/corr/corr2303.html#abs-2303-00596

Kira Maag Asja Fischer Uncertainty-based Detection of Adversarial Attacks in Semantic Segmentation. 2023 abs/2305.12825 CoRR https://doi.org/10.48550/arXiv.2305.12825 db/journals/corr/corr2305.html#abs-2305-12825

Matías P. Pizarro B. Dorothea Kolossa Asja Fischer Leveraging characteristics of the output probability distribution for identifying adversarial audio examples. 2023 abs/2305.17000 CoRR https://doi.org/10.48550/arXiv.2305.17000 db/journals/corr/corr2305.html#abs-2305-17000

Mike Laszkiewicz Jonas Ricker Johannes Lederer Asja Fischer Single-Model Attribution via Final-Layer Inversion. 2023 abs/2306.06210 CoRR https://doi.org/10.48550/arXiv.2306.06210 db/journals/corr/corr2306.html#abs-2306-06210

Linara Adilova Asja Fischer Martin Jaggi Layerwise Linear Mode Connectivity. 2023 abs/2307.06966 CoRR https://doi.org/10.48550/arXiv.2307.06966 db/journals/corr/corr2307.html#abs-2307-06966

Mike Laszkiewicz Denis Lukovnikov Johannes Lederer Asja Fischer Set-Membership Inference Attacks using Data Watermarking. 2023 abs/2307.15067 CoRR https://doi.org/10.48550/arXiv.2307.15067 db/journals/corr/corr2307.html#abs-2307-15067

Kira Maag Asja Fischer Uncertainty-weighted Loss Functions for Improved Adversarial Attacks on Semantic Segmentation. 2023 abs/2310.17436 CoRR https://doi.org/10.48550/arXiv.2310.17436 db/journals/corr/corr2310.html#abs-2310-17436

Dmytro Velychko Simon Damm Asja Fischer Jörg Lücke Learning Sparse Codes with Entropy-Based ELBOs. 2023 abs/2311.01888 CoRR https://doi.org/10.48550/arXiv.2311.01888 db/journals/corr/corr2311.html#abs-2311-01888

Joel Frank Franziska Herbert Jonas Ricker Lea Schönherr Thorsten Eisenhofer Asja Fischer Markus Dürmuth Thorsten Holz A Representative Study on Human Detection of Artificially Generated Media Across Countries. 2023 abs/2312.05976 CoRR https://doi.org/10.48550/arXiv.2312.05976 db/journals/corr/corr2312.html#abs-2312-05976

Mehdi Ali Max Berrendorf Charles Tapley Hoyt Laurent Vermue Mikhail Galkin 0001 Sahand Sharifzadeh Asja Fischer Volker Tresp Jens Lehmann 0001 Bringing Light Into the Dark: A Large-Scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework. 8825-8845 2022 44 IEEE Trans. Pattern Anal. Mach. Intell. 12 https://doi.org/10.1109/TPAMI.2021.3124805 https://www.wikidata.org/entity/Q96631308 db/journals/pami/pami44.html#AliBHVGSFTL22

Mike Laszkiewicz Johannes Lederer Asja Fischer Marginal Tail-Adaptive Normalizing Flows. 12020-12048 2022 ICML https://proceedings.mlr.press/v162/laszkiewicz22a.html conf/icml/2022 db/conf/icml/icml2022.html#LaszkiewiczLF22 Sina Däubener Asja Fischer How Sampling Impacts the Robustness of Stochastic Neural Networks. 2022 conf/nips/2022 NeurIPS http://papers.nips.cc/paper_files/paper/2022/hash/429d69979c22b06d6baa65caf3ab1e10-Abstract-Conference.html db/conf/nips/neurips2022.html#DaubenerF22

Sina Däubener Asja Fischer How Sampling Impacts the Robustness of Stochastic Neural Networks. 2022 abs/2204.10839 CoRR https://doi.org/10.48550/arXiv.2204.10839 db/journals/corr/corr2204.html#abs-2204-10839

Mike Laszkiewicz Johannes Lederer Asja Fischer Marginal Tail-Adaptive Normalizing Flows. 2022 abs/2206.10311 CoRR https://doi.org/10.48550/arXiv.2206.10311 db/journals/corr/corr2206.html#abs-2206-10311

Jonas Ricker Simon Damm Thorsten Holz Asja Fischer Towards the Detection of Diffusion Model Deepfakes. 2022 abs/2210.14571 CoRR https://doi.org/10.48550/arXiv.2210.14571 db/journals/corr/corr2210.html#abs-2210-14571

Nilesh Chakraborty Denis Lukovnikov Gaurav Maheshwari 0001 Priyansh Trivedi Jens Lehmann 0001 Asja Fischer Introduction to neural network-based question answering over knowledge graphs. 2021 11 WIREs Data Mining Knowl. Discov. 3 https://doi.org/10.1002/widm.1389 https://www.wikidata.org/entity/Q133251381 db/journals/widm/widm11.html#ChakrabortyLMTL21

Denis Lukovnikov Asja Fischer Insertion-based Tree Decoding. 3201-3213 2021 ACL/IJCNLP (Findings) https://doi.org/10.18653/v1/2021.findings-acl.283 https://aclanthology.org/2021.findings-acl.283 conf/acl/2021f db/conf/acl/acl2021f.html#LukovnikovF21 Kai Brügge 0001 Asja Fischer Christian Igel On the convergence of the Metropolis algorithm with fixed-order updates for multivariate binary probability distributions. 469-477 2021 AISTATS http://proceedings.mlr.press/v130/brugge21a.html conf/aistats/2021 db/conf/aistats/aistats2021.html#0001FI21 Mike Laszkiewicz Asja Fischer Johannes Lederer Thresholded Adaptive Validation: Tuning the Graphical Lasso for Graph Recovery. 1864-1872 2021 AISTATS http://proceedings.mlr.press/v130/laszkiewicz21a.html conf/aistats/2021 db/conf/aistats/aistats2021.html#LaszkiewiczLF21 Denis Lukovnikov Sina Däubener Asja Fischer Detecting Compositionally Out-of-Distribution Examples in Semantic Parsing. 591-598 2021 EMNLP (Findings) https://doi.org/10.18653/v1/2021.findings-emnlp.54 https://aclanthology.org/2021.findings-emnlp.54 conf/emnlp/2021f db/conf/emnlp/emnlp2021f.html#LukovnikovDF21 Arne P. Raulf Sina Däubener Ben Hack Axel Mosig Asja Fischer SmoothLRP: Smoothing LRP by Averaging over Stochastic Input Variations. 2021 ESANN https://doi.org/10.14428/esann/2021.ES2021-139 conf/esann/2021 db/conf/esann/esann2021.html#RaulfDHMF21 Denis Lukovnikov Asja Fischer Improving Breadth-Wise Backpropagation in Graph Neural Networks Helps Learning Long-Range Dependencies. 7180-7191 2021 ICML http://proceedings.mlr.press/v139/lukovnikov21a.html conf/icml/2021 db/conf/icml/icml2021.html#LukovnikovF21 Diego Esteves José Marcelino Piyush Chawla Asja Fischer Jens Lehmann 0001 HORUS-NER: A Multimodal Named Entity Recognition Framework for Noisy Data. 89-100 2021 IDA https://doi.org/10.1007/978-3-030-74251-5_8 conf/ida/2021 db/conf/ida/ida2021.html#EstevesMCF021 Florian Linsner Linara Adilova Sina Däubener Michael Kamp Asja Fischer Approaches to Uncertainty Quantification in Federated Deep Learning. 128-145 2021 PKDD/ECML Workshops (1) https://doi.org/10.1007/978-3-030-93736-2_12 conf/pkdd/2021-w1 db/conf/pkdd/pkdd2021-w1.html#LinsnerADKF21

Joachim Sicking Maram Akila Maximilian Pintz Tim Wirtz Asja Fischer Stefan Wrobel A Novel Regression Loss for Non-Parametric Uncertainty Optimization. 2021 abs/2101.02726 CoRR https://arxiv.org/abs/2101.02726 db/journals/corr/corr2101.html#abs-2101-02726

Mike Laszkiewicz Johannes Lederer Asja Fischer Copula-Based Normalizing Flows. 2021 abs/2107.07352 CoRR https://arxiv.org/abs/2107.07352 db/journals/corr/corr2107.html#abs-2107-07352

Matias Pizarro Dorothea Kolossa Asja Fischer Robustifying automatic speech recognition by extracting slowly varying features. 2021 abs/2112.07400 CoRR https://arxiv.org/abs/2112.07400 db/journals/corr/corr2112.html#abs-2112-07400

Oswin Krause Asja Fischer Christian Igel Algorithms for estimating the partition function of restricted Boltzmann machines. 2020 278 Artif. Intell. https://doi.org/10.1016/j.artint.2019.103195 https://www.wikidata.org/entity/Q78314631 db/journals/ai/ai278.html#KrauseFI20

Sven Koitka Moon S. Kim 0002 Ming Qu Asja Fischer Christoph M. Friedrich Felix Nensa Mimicking the radiologists' workflow: Estimating pediatric hand bone age with stacked deep neural networks. 101743 2020 64 Medical Image Anal. https://doi.org/10.1016/j.media.2020.101743 https://www.wikidata.org/entity/Q96428662 db/journals/mia/mia64.html#KoitkaKQFFN20

Joel Frank Thorsten Eisenhofer Lea Schönherr Asja Fischer Dorothea Kolossa Thorsten Holz Leveraging Frequency Analysis for Deep Fake Image Recognition. 3247-3258 2020 ICML http://proceedings.mlr.press/v119/frank20a.html conf/icml/2020 db/conf/icml/icml2020.html#FrankESFKH20 Oswin Krause Asja Fischer Christian Igel Algorithms for Estimating the Partition Function of Restricted Boltzmann Machines (Extended Abstract). 5045-5049 2020 Journal track IJCAI https://doi.org/10.24963/ijcai.2020/704 conf/ijcai/2020 db/conf/ijcai/ijcai2020.html#KrauseFI20 Sina Däubener Lea Schönherr Asja Fischer Dorothea Kolossa Detecting Adversarial Examples for Speech Recognition via Uncertainty Quantification. 4661-4665 2020 INTERSPEECH https://doi.org/10.21437/Interspeech.2020-2734 conf/interspeech/2020 db/conf/interspeech/interspeech2020.html#DaubenerSFK20

Denis Lukovnikov Asja Fischer Jens Lehmann 0001 Pretrained Transformers for Simple Question Answering over Knowledge Graphs. 2020 abs/2001.11985 CoRR https://arxiv.org/abs/2001.11985 db/journals/corr/corr2001.html#abs-2001-11985

Rostislav Nedelchev Debanjan Chaudhuri Jens Lehmann 0001 Asja Fischer End-to-End Entity Linking and Disambiguation leveraging Word and Knowledge Graph Embeddings. 2020 abs/2002.11143 CoRR https://arxiv.org/abs/2002.11143 db/journals/corr/corr2002.html#abs-2002-11143

Joel Frank Thorsten Eisenhofer Lea Schönherr Asja Fischer Dorothea Kolossa Thorsten Holz Leveraging Frequency Analysis for Deep Fake Image Recognition. 2020 abs/2003.08685 CoRR https://arxiv.org/abs/2003.08685 db/journals/corr/corr2003.html#abs-2003-08685

Mike Laszkiewicz Asja Fischer Johannes Lederer Thresholded Adaptive Validation: Tuning the Graphical Lasso for Graph Recovery. 2020 abs/2005.00466 CoRR https://arxiv.org/abs/2005.00466 db/journals/corr/corr2005.html#abs-2005-00466

Mohammad Asif Khan 0001 Fabien Cardinaux Stefan Uhlich Marc Ferras Asja Fischer Unsupervised Cross-Domain Speech-to-Speech Conversion with Time-Frequency Consistency. 2020 abs/2005.07810 CoRR https://arxiv.org/abs/2005.07810 db/journals/corr/corr2005.html#abs-2005-07810

Sina Däubener Lea Schönherr Asja Fischer Dorothea Kolossa Detecting Adversarial Examples for Speech Recognition via Uncertainty Quantification. 2020 abs/2005.14611 CoRR https://arxiv.org/abs/2005.14611 db/journals/corr/corr2005.html#abs-2005-14611

Mehdi Ali Max Berrendorf Charles Tapley Hoyt Laurent Vermue Mikhail Galkin 0001 Sahand Sharifzadeh Asja Fischer Volker Tresp Jens Lehmann 0001 Bringing Light Into the Dark: A Large-scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework. 2020 abs/2006.13365 CoRR https://arxiv.org/abs/2006.13365 db/journals/corr/corr2006.html#abs-2006-13365

Kai Brügge 0001 Asja Fischer Christian Igel On the convergence of the Metropolis algorithm with fixed-order updates for multivariate binary probability distributions. 2020 abs/2006.14999 CoRR https://arxiv.org/abs/2006.14999 db/journals/corr/corr2006.html#abs-2006-14999

Joachim Sicking Maram Akila Tim Wirtz Sebastian Houben Asja Fischer Characteristics of Monte Carlo Dropout in Wide Neural Networks. 2020 abs/2007.05434 CoRR https://arxiv.org/abs/2007.05434 db/journals/corr/corr2007.html#abs-2007-05434

Denis Lukovnikov Jens Lehmann 0001 Asja Fischer Improving the Long-Range Performance of Gated Graph Neural Networks. 2020 abs/2007.09668 CoRR https://arxiv.org/abs/2007.09668 db/journals/corr/corr2007.html#abs-2007-09668

Sina Däubener Asja Fischer Investigating maximum likelihood based training of infinite mixtures for uncertainty quantification. 2020 abs/2008.03209 CoRR https://arxiv.org/abs/2008.03209 db/journals/corr/corr2008.html#abs-2008-03209

Joachim Sicking Maram Akila Maximilian Pintz Tim Wirtz Asja Fischer Stefan Wrobel Second-Moment Loss: A Novel Regression Objective for Improved Uncertainties. 2020 abs/2012.12687 CoRR https://arxiv.org/abs/2012.12687 db/journals/corr/corr2012.html#abs-2012-12687

Stanislaw Jastrzebski Zachary Kenton Nicolas Ballas Asja Fischer Yoshua Bengio Amos J. Storkey On the Relation Between the Sharpest Directions of DNN Loss and the SGD Step Length. 2019 ICLR (Poster) https://openreview.net/forum?id=SkgEaj05t7 conf/iclr/2019 db/conf/iclr/iclr2019.html#JastrzebskiKBFB19 Agustinus Kristiadi Mohammad Asif Khan 0001 Denis Lukovnikov Jens Lehmann 0001 Asja Fischer Incorporating Literals into Knowledge Graph Embeddings. 347-363 2019 ISWC (1) https://doi.org/10.1007/978-3-030-30793-6_20 https://www.wikidata.org/entity/Q125456361 conf/semweb/2019-1 db/conf/semweb/iswc2019-1.html#KristiadiKL0F19 Denis Lukovnikov Asja Fischer Jens Lehmann 0001 Pretrained Transformers for Simple Question Answering over Knowledge Graphs. 470-486 2019 ISWC (1) https://doi.org/10.1007/978-3-030-30793-6_27 https://www.wikidata.org/entity/Q125456363 conf/semweb/2019-1 db/conf/semweb/iswc2019-1.html#LukovnikovF019 Gaurav Maheshwari 0001 Priyansh Trivedi Denis Lukovnikov Nilesh Chakraborty Asja Fischer Jens Lehmann 0001 Learning to Rank Query Graphs for Complex Question Answering over Knowledge Graphs. 487-504 2019 ISWC (1) https://doi.org/10.1007/978-3-030-30793-6_28 https://www.wikidata.org/entity/Q125456377 conf/semweb/2019-1 db/conf/semweb/iswc2019-1.html#MaheshwariTLCF019

Agustinus Kristiadi Asja Fischer Predictive Uncertainty Quantification with Compound Density Networks. 2019 abs/1902.01080 CoRR http://arxiv.org/abs/1902.01080 db/journals/corr/corr1902.html#abs-1902-01080

Nilesh Chakraborty Denis Lukovnikov Gaurav Maheshwari 0001 Priyansh Trivedi Jens Lehmann 0001 Asja Fischer Introduction to Neural Network based Approaches for Question Answering over Knowledge Graphs. 2019 abs/1907.09361 CoRR http://arxiv.org/abs/1907.09361 db/journals/corr/corr1907.html#abs-1907-09361

Oswin Krause Asja Fischer Christian Igel Population-Contrastive-Divergence: Does consistency help with RBM training? 1-7 2018 102 Pattern Recognit. Lett. https://doi.org/10.1016/j.patrec.2017.11.022 https://www.wikidata.org/entity/Q51330976 db/journals/prl/prl102.html#KrauseFI18

Debanjan Chaudhuri Agustinus Kristiadi Jens Lehmann 0001 Asja Fischer Improving Response Selection in Multi-Turn Dialogue Systems by Incorporating Domain Knowledge. 497-507 2018 CoNLL https://doi.org/10.18653/v1/k18-1048 https://aclanthology.org/K18-1048/ conf/conll/2018 db/conf/conll/conll2018.html#ChaudhuriKLF18 Stanislaw Jastrzebski Zachary Kenton Devansh Arpit Nicolas Ballas Asja Fischer Yoshua Bengio Amos J. Storkey Width of Minima Reached by Stochastic Gradient Descent is Influenced by Learning Rate to Batch Size Ratio. 392-402 2018 ICANN (3) https://doi.org/10.1007/978-3-030-01424-7_39 conf/icann/2018-3 db/conf/icann/icann2018-3.html#JastrzebskiKABF18 Stanislaw Jastrzebski Zachary Kenton Devansh Arpit Nicolas Ballas Asja Fischer Yoshua Bengio Amos J. Storkey Finding Flatter Minima with SGD. 2018 ICLR (Workshop) https://openreview.net/forum?id=r1VF9dCUG conf/iclr/2018w db/conf/iclr/iclr2018w.html#JastrzebskiKABF18 Henning Petzka Asja Fischer Denis Lukovnikov On the regularization of Wasserstein GANs. 2018 ICLR (Poster) https://openreview.net/forum?id=B1hYRMbCW conf/iclr/2018 db/conf/iclr/iclr2018.html#PetzkaFL18

Agustinus Kristiadi Mohammad Asif Khan 0001 Denis Lukovnikov Jens Lehmann 0001 Asja Fischer Incorporating Literals into Knowledge Graph Embeddings. 2018 abs/1802.00934 CoRR http://arxiv.org/abs/1802.00934 db/journals/corr/corr1802.html#abs-1802-00934

Stanislaw Jastrzebski Zachary Kenton Nicolas Ballas Asja Fischer Yoshua Bengio Amos J. Storkey DNN's Sharpest Directions Along the SGD Trajectory. 2018 abs/1807.05031 CoRR http://arxiv.org/abs/1807.05031 db/journals/corr/corr1807.html#abs-1807-05031

Debanjan Chaudhuri Agustinus Kristiadi Jens Lehmann 0001 Asja Fischer Improving Response Selection in Multi-turn Dialogue Systems. 2018 abs/1809.03194 CoRR http://arxiv.org/abs/1809.03194 db/journals/corr/corr1809.html#abs-1809-03194

Gaurav Maheshwari 0001 Priyansh Trivedi Denis Lukovnikov Nilesh Chakraborty Asja Fischer Jens Lehmann 0001 Learning to Rank Query Graphs for Complex Question Answering over Knowledge Graphs. 2018 abs/1811.01118 CoRR http://arxiv.org/abs/1811.01118 db/journals/corr/corr1811.html#abs-1811-01118

Denis Lukovnikov Nilesh Chakraborty Jens Lehmann 0001 Asja Fischer Translating Natural Language to SQL using Pointer-Generator Networks and How Decoding Order Matters. 2018 abs/1811.05303 CoRR http://arxiv.org/abs/1811.05303 db/journals/corr/corr1811.html#abs-1811-05303

Björn Weghenkel Asja Fischer Laurenz Wiskott Graph-based predictable feature analysis. 1359-1380 2017 106 Mach. Learn. 9-10 https://doi.org/10.1007/s10994-017-5632-x db/journals/ml/ml106.html#WeghenkelFW17

Yoshua Bengio Thomas Mesnard Asja Fischer Saizheng Zhang Yuhuai Wu STDP-Compatible Approximation of Backpropagation in an Energy-Based Model. 555-577 2017 29 Neural Comput. 3 https://doi.org/10.1162/NECO_a_00934 https://www.wikidata.org/entity/Q48008151 db/journals/neco/neco29.html#BengioMFZW17

David Krueger 0001 Nicolas Ballas Stanislaw Jastrzebski Devansh Arpit Maxinder S. Kanwal Tegan Maharaj Emmanuel Bengio Asja Fischer Aaron C. Courville Deep Nets Don't Learn via Memorization. 2017 ICLR (Workshop) https://openreview.net/forum?id=rJv6ZgHYg conf/iclr/2017w db/conf/iclr/iclr2017w.html#KruegerBJAKMBFC17 Devansh Arpit Stanislaw Jastrzebski Nicolas Ballas David Krueger 0001 Emmanuel Bengio Maxinder S. Kanwal Tegan Maharaj Asja Fischer Aaron C. Courville Yoshua Bengio Simon Lacoste-Julien A Closer Look at Memorization in Deep Networks. 233-242 2017 ICML http://proceedings.mlr.press/v70/arpit17a.html conf/icml/2017 db/conf/icml/icml2017.html#ArpitJBKBKMFCBL17 Denis Lukovnikov Asja Fischer Jens Lehmann 0001 Sören Auer Neural Network-based Question Answering over Knowledge Graphs on Word and Character Level. 1211-1220 2017 WWW https://doi.org/10.1145/3038912.3052675 conf/www/2017 db/conf/www/www2017.html#LukovnikovFLA17

Devansh Arpit Stanislaw Jastrzebski Nicolas Ballas David Krueger 0001 Emmanuel Bengio Maxinder S. Kanwal Tegan Maharaj Asja Fischer Aaron C. Courville Yoshua Bengio Simon Lacoste-Julien A Closer Look at Memorization in Deep Networks. 2017 abs/1706.05394 CoRR http://arxiv.org/abs/1706.05394 db/journals/corr/corr1706.html#ArpitJBKBKMFCBL17

Henning Petzka Asja Fischer Denis Lukovnikov On the regularization of Wasserstein GANs. 2017 abs/1709.08894 CoRR http://arxiv.org/abs/1709.08894 db/journals/corr/corr1709.html#abs-1709-08894

Stanislaw Jastrzebski Zachary Kenton Devansh Arpit Nicolas Ballas Asja Fischer Yoshua Bengio Amos J. Storkey Three Factors Influencing Minima in SGD. 2017 abs/1711.04623 CoRR http://arxiv.org/abs/1711.04623 db/journals/corr/corr1711.html#abs-1711-04623

Jan Melchior Asja Fischer Laurenz Wiskott How to Center Deep Boltzmann Machines. 99:1-99:61 2016 17 J. Mach. Learn. Res. https://jmlr.org/papers/v17/14-237.html db/journals/jmlr/jmlr17.html#MelchiorFW16

Jörg Bornschein Samira Shabanian Asja Fischer Yoshua Bengio Bidirectional Helmholtz Machines. 2511-2519 2016 ICML http://proceedings.mlr.press/v48/bornschein16.html conf/icml/2016 db/conf/icml/icml2016.html#BornscheinSFB16

Björn Weghenkel Asja Fischer Laurenz Wiskott Graph-based Predictable Feature Analysis. 2016 abs/1602.00554 CoRR http://arxiv.org/abs/1602.00554 db/journals/corr/corr1602.html#WeghenkelFW16

Asja Fischer Training Restricted Boltzmann Machines. 441-444 2015 29 Künstliche Intell. 4 https://doi.org/10.1007/s13218-015-0371-2 db/journals/ki/ki29.html#Fischer15

Asja Fischer Christian Igel A bound for the convergence rate of parallel tempering for sampling restricted Boltzmann machines. 102-117 2015 598 Theor. Comput. Sci. https://doi.org/10.1016/j.tcs.2015.05.019 db/journals/tcs/tcs598.html#FischerI15

Dong-Hyun Lee Saizheng Zhang Asja Fischer Yoshua Bengio Difference Target Propagation. 498-515 2015 ECML/PKDD (1) https://doi.org/10.1007/978-3-319-23528-8_31 conf/pkdd/2015-1 db/conf/pkdd/pkdd2015-1.html#LeeZFB15

Jörg Bornschein Samira Shabanian Asja Fischer Yoshua Bengio Training opposing directed models using geometric mean matching. 2015 abs/1506.03877 CoRR http://arxiv.org/abs/1506.03877 db/journals/corr/corr1506.html#BornscheinSFB15

Yoshua Bengio Thomas Mesnard Asja Fischer Saizheng Zhang Yuhai Wu An objective function for STDP. 2015 abs/1509.05936 CoRR http://arxiv.org/abs/1509.05936 db/journals/corr/corr1509.html#BengioMFZW15

Oswin Krause Asja Fischer Christian Igel Population-Contrastive-Divergence: Does Consistency help with RBM training? 2015 abs/1510.01624 CoRR http://arxiv.org/abs/1510.01624 db/journals/corr/corr1510.html#KrauseFI15

Asja Fischer Christian Igel Training restricted Boltzmann machines: An introduction. 25-39 2014 47 Pattern Recognit. 1 https://doi.org/10.1016/j.patcog.2013.05.025 https://www.wikidata.org/entity/Q57254703 db/journals/pr/pr47.html#FischerI14

Kai Brügge 0001 Asja Fischer Christian Igel The flip-the-state transition operator for restricted Boltzmann machines. 53-69 2013 93 Mach. Learn. 1 https://doi.org/10.1007/s10994-013-5390-3 db/journals/ml/ml93.html#BruggeFI13

Oswin Krause Asja Fischer Tobias Glasmachers Christian Igel Approximation properties of DBNs with binary hidden units and real-valued visible units. 419-426 2013 ICML (1) http://proceedings.mlr.press/v28/krause13.html conf/icml/2013 db/conf/icml/icml2013.html#KrauseFGI13

Jan Melchior Asja Fischer Nan Wang Laurenz Wiskott How to Center Binary Restricted Boltzmann Machines. 2013 CoRR http://arxiv.org/abs/1311.1354 abs/1311.1354 db/journals/corr/corr1311.html#MelchiorFWW13

Asja Fischer Christian Igel An Introduction to Restricted Boltzmann Machines. 14-36 2012 CIARP https://doi.org/10.1007/978-3-642-33275-3_2 conf/ciarp/2012 db/conf/ciarp/ciarp2012.html#FischerI12

Asja Fischer Christian Igel Bounding the Bias of Contrastive Divergence Learning. 664-673 2011 23 Neural Comput. 3 https://doi.org/10.1162/NECO_a_00085 https://www.wikidata.org/entity/Q51624398 db/journals/neco/neco23.html#FischerI11

Asja Fischer Christian Igel Training RBMs based on the signs of the CD approximation of the log-likelihood derivatives. 2011 ESANN https://www.esann.org/sites/default/files/proceedings/legacy/es2011-79.pdf conf/esann/2011 db/conf/esann/esann2011.html#FischerI11 Asja Fischer Christian Igel Empirical Analysis of the Divergence of Gibbs Sampling Based Learning Algorithms for Restricted Boltzmann Machines. 208-217 2010 ICANN (3) https://doi.org/10.1007/978-3-642-15825-4_26 conf/icann/2010-3 db/conf/icann/icann2010-3.html#FischerI10 Linara Adilova Maram Akila Mehdi Ali Massih-Reza Amini Maksym Andriushchenko Devansh Arpit Dennis Assenmacher Sören Auer Nicolas Ballas Robert Bamler Lorenzo Baraldi 0001 Lorenzo Baraldi 0002 Emmanuel Bengio Yoshua Bengio Max Berrendorf Battista Biggio Jörg Bornschein Guy Van den Broeck Kai Brügge 0001 Stéphane Canu Fabien Cardinaux Nilesh Chakraborty Debanjan Chaudhuri Piyush Chawla Deruo Cheng Federico Cocchi Niv Cohen Marcella Cornia Ryan Cotterell Aaron C. Courville Rita Cucchiara Zhenwen Dai Simon Damm Sina Däubener Imant Daunhawer Zahra Dehghanighobadi Li Duan Markus Dürmuth Hicham Eddoubi Thorsten Eisenhofer Diego Esteves Sascha Fahl Timm Faulwasser Sophie Fellenz Marc Ferras Dennis Forster Nils Förster Vincent Fortuin Joel Frank Benedikt Franke Christoph M. Friedrich Michael GalkinMikhail Galkin 0001 Thomas Gärtner 0004 Christian Gehrmann 0002 Bernhard C. Geiger Tobias Glasmachers Tias Guns Ben Hack Simon Heilig Franziska Herbert Thomas Hofmann 0001 Sandra Höltervennhoff Thorsten Holz Sebastian Houben Charles Tapley Hoyt Christian Igel Martin Jaggi Anubhav Jain 0002 Stanislaw Jastrzebski Michael Kamp Maxinder S. Kanwal Zachary Kenton Mohammad Asif Khan 0001 Moon S. Kim 0002 Matthias Kirchler Marius Kloft Shingo Kodama Sven Koitka Dorothea Kolossa Frank Köster Oswin Krause Agustinus Kristiadi David Krueger 0001 Simon Lacoste-Julien Markus Lange Mike Laszkiewicz Johannes Lederer Dong-Hyun Lee Jens Lehmann 0001 Yingzhen Li Yong Li 0021 Florian Linsner Christoph Lippert Jörg Lücke Denis Lukovnikov Kira Maag Tegan Maharaj Gaurav Maheshwari 0001 Stephan Mandt Laura Manduchi José Marcelino Soundes Marzougui Sina Mavali Alexander May 0001 Clara Meister Jan Melchior Gerard de Melo Ricardo Mendes Thomas Mesnard Axel Mosig Andreas Müller 0025 Eric T. Nalisnick Raghavan Narasimhan Rostislav Nedelchev Felix Nensa Petra Kralj Novak Björn Ommer Christof Paar Kushagra Pandey David Pape Jonathan Petit Henning Petzka Minh Pham Maura Pintor Maximilian Pintz Matias PizarroMatías P. Pizarro B. Karla Pizzi Jens Püttschneider Ming Qu Erwin Quiring Rajesh Ranganath Maike M. Raphael Arne P. Raulf Roman Resner Jonas Ricker Maja Rudolph Bernhard Schölkopf Lea Schönherr Leander Schwarz Charlotte Schwedes Henning Seidler Jean-Pierre Seifert Samira Shabanian Sahand Sharifzadeh Yash Sharma Yiqiong Shi Joachim Sicking Sidak Pal Singh Angelo Sotgiu Julian Speith Amos J. Storkey Yulian Sun Jonas Thietke Volker Tresp Priyansh Trivedi Grigorios Tsoumakas Stefan Uhlich Vincent UlitzschVincent Quentin Ulitzsch Karen Ullrich Dmytro Velychko Laurent Vermue Julia E. Vogt Nan Wang Yixin Wang Jan Warnken Björn Weghenkel Rebecca Weil Florian Wenzel Tim Wirtz Laurenz Wiskott Frank D. WoodFrank Wood Stefan Wrobel Yuhai Wu Yuhuai Wu Yue Xia Muhammad Bilal Zafar Saizheng Zhang Derui Zhu