Multi-pass rendering of stereoscopic video on consumer graphics cards. - Jonas Schild; Sven Seele; Jonas Fischer; Maic Masuch (SI3D, 2011)

Sets of Robust Rules, and How to Find Them. - Jonas Fischer; Jilles Vreeken (ECML/PKDD (1), 2019)

Discovering Succinct Pattern Sets Expressing Co-Occurrence and Mutual Exclusivity. - Jonas Fischer; Jilles Vreeken (KDD, 2020)

What's in the Box? Exploring the Inner Life of Neural Networks with Robust Rules. - Jonas Fischer; Anna Oláh; Jilles Vreeken (ICML, 2021)

Differentiable Pattern Set Mining. - Jonas Fischer; Jilles Vreeken (KDD, 2021)

Factoring out prior knowledge from low-dimensional embeddings. - Edith Heiter; Jonas Fischer; Jilles Vreeken (CoRR, 2021)

Towards strong pruning for lottery tickets with non-zero biases. - Jonas Fischer; Rebekka Burkholz (CoRR, 2021)

Estimating Mutual Information via Geodesic kNN. - Alexander Marx 001; Jonas Fischer (CoRR, 2021)

Plant 'n' Seek: Can You Find the Winning Ticket? - Jonas Fischer; Rebekka Burkholz (ICLR, 2022)

Label-Descriptive Patterns and Their Application to Characterizing Classification Errors. - Michael A. Hedderich; Jonas Fischer; Dietrich Klakow; Jilles Vreeken (ICML, 2022)

Estimating Mutual Information via Geodesic kNN. - Alexander Marx 001; Jonas Fischer (SDM, 2022)

More than the sum of its parts - pattern mining, neural networks, and how they complement each other. - Jonas Fischer (2022)

Federated Learning from Small Datasets. - Michael Kamp; Jonas Fischer; Jilles Vreeken (ICLR, 2023)

Preserving local densities in low-dimensional embeddings. - Jonas Fischer; Rebekka Burkholz; Jilles Vreeken (CoRR, 2023)

Understanding and Mitigating Classification Errors Through Interpretable Token Patterns. - Michael A. Hedderich; Jonas Fischer; Dietrich Klakow; Jilles Vreeken (CoRR, 2023)

Finding Interpretable Class-Specific Patterns through Efficient Neural Search. - Nils Philipp Walter; Jonas Fischer; Jilles Vreeken (AAAI, 2024)

Pruning neural network models for gene regulatory dynamics using data and domain knowledge. - Intekhab Hossain; Jonas Fischer; Rebekka Burkholz; John Quackenbush (NeurIPS, 2024)

BONOBO: Bayesian Optimized Sample-Specific Networks Obtained by Omics Data. - Enakshi Saha; Viola Fanfani; Panagiotis Mandros; Marouen Ben Guebila; Jonas Fischer; Katherine H. Shutta; Kimberly Glass; Dawn L. DeMeo; Camila Miranda Lopes-Ramos; John Quackenbush (RECOMB, 2024)

Not all tickets are equal and we know it: Guiding pruning with domain-specific knowledge. - Intekhab Hossain; Jonas Fischer; Rebekka Burkholz; John Quackenbush (CoRR, 2024)

Sailing in high-dimensional spaces: Low-dimensional embeddings through angle preservation. - Jonas Fischer; Rong Ma (CoRR, 2024)

What's the Difference? Supporting Users in Identifying the Effects of Prompt and Model Changes Through Token Patterns. - Michael A. Hedderich; Anyi Wang; Raoyuan Zhao; Florian Eichin; Jonas Fischer; Barbara Plank (ACL (1), 2025)

Disentangling Polysemantic Channels in Convolutional Neural Networks. - Robin Hesse; Jonas Fischer; Simone Schaub-Meyer; Stefan Roth 001 (CVPR Workshops, 2025)

Now you see me! A framework for obtaining class-relevant saliency maps. - Nils Philipp Walter; Jilles Vreeken; Jonas Fischer (CoRR, 2025)

Unlocking Open-Set Language Accessibility in Vision Models. - Fawaz Sammani; Jonas Fischer; Nikos Deligiannis (CoRR, 2025)

Escaping Plato's Cave: Robust Conceptual Reasoning through Interpretable 3D Neural Object Volumes. - Nhi Pham; Bernt Schiele; Adam Kortylewski; Jonas Fischer (CoRR, 2025)

VITAL: More Understandable Feature Visualization through Distribution Alignment and Relevant Information Flow. - Ada Gorgun; Bernt Schiele; Jonas Fischer (CoRR, 2025)

LayerCake: Token-Aware Contrastive Decoding within Large Language Model Layers. - Jingze Zhu; Yongliang Wu; Wenbo Zhu; Jiawang Cao; Yanqiang Zheng; Jiawei Chen; Xu Yang 004; Bernt Schiele; Jonas Fischer; Xinting Hu (CoRR, 2025)