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Jonas Fischer
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2020 – today
- 2024
- [c11]Nils Philipp Walter, Jonas Fischer, Jilles Vreeken:
Finding Interpretable Class-Specific Patterns through Efficient Neural Search. AAAI 2024: 9062-9070 - [c10]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:
BONOBO: Bayesian Optimized Sample-Specific Networks Obtained by Omics Data. RECOMB 2024: 328-331 - [i11]Intekhab Hossain, Jonas Fischer, Rebekka Burkholz, John Quackenbush:
Not all tickets are equal and we know it: Guiding pruning with domain-specific knowledge. CoRR abs/2403.04805 (2024) - [i10]Jonas Fischer, Rong Ma:
Sailing in high-dimensional spaces: Low-dimensional embeddings through angle preservation. CoRR abs/2406.09876 (2024) - 2023
- [c9]Michael Kamp, Jonas Fischer, Jilles Vreeken:
Federated Learning from Small Datasets. ICLR 2023 - [i9]Jonas Fischer, Rebekka Burkholz, Jilles Vreeken:
Preserving local densities in low-dimensional embeddings. CoRR abs/2301.13732 (2023) - [i8]Michael A. Hedderich, Jonas Fischer, Dietrich Klakow, Jilles Vreeken:
Understanding and Mitigating Classification Errors Through Interpretable Token Patterns. CoRR abs/2311.10920 (2023) - [i7]Nils Philipp Walter, Jonas Fischer, Jilles Vreeken:
Finding Interpretable Class-Specific Patterns through Efficient Neural Search. CoRR abs/2312.04311 (2023) - 2022
- [b1]Jonas Fischer:
More than the sum of its parts - pattern mining, neural networks, and how they complement each other. Saarland University, Saarbrücken, Germany, 2022 - [c8]Jonas Fischer, Rebekka Burkholz:
Plant 'n' Seek: Can You Find the Winning Ticket? ICLR 2022 - [c7]Michael A. Hedderich, Jonas Fischer, Dietrich Klakow, Jilles Vreeken:
Label-Descriptive Patterns and Their Application to Characterizing Classification Errors. ICML 2022: 8691-8707 - [c6]Alexander Marx, Jonas Fischer:
Estimating Mutual Information via Geodesic kNN. SDM 2022: 415-423 - 2021
- [c5]Jonas Fischer, Anna Oláh, Jilles Vreeken:
What's in the Box? Exploring the Inner Life of Neural Networks with Robust Rules. ICML 2021: 3352-3362 - [c4]Jonas Fischer, Jilles Vreeken:
Differentiable Pattern Set Mining. KDD 2021: 383-392 - [i6]Edith Heiter, Jonas Fischer, Jilles Vreeken:
Factoring out prior knowledge from low-dimensional embeddings. CoRR abs/2103.01828 (2021) - [i5]Michael Kamp, Jonas Fischer, Jilles Vreeken:
Federated Learning from Small Datasets. CoRR abs/2110.03469 (2021) - [i4]Michael A. Hedderich, Jonas Fischer, Dietrich Klakow, Jilles Vreeken:
Label-Descriptive Patterns and their Application to Characterizing Classification Errors. CoRR abs/2110.09599 (2021) - [i3]Jonas Fischer, Rebekka Burkholz:
Towards strong pruning for lottery tickets with non-zero biases. CoRR abs/2110.11150 (2021) - [i2]Alexander Marx, Jonas Fischer:
Estimating Mutual Information via Geodesic kNN. CoRR abs/2110.13883 (2021) - [i1]Jonas Fischer, Rebekka Burkholz:
Plant 'n' Seek: Can You Find the Winning Ticket? CoRR abs/2111.11153 (2021) - 2020
- [c3]Jonas Fischer, Jilles Vreeken:
Discovering Succinct Pattern Sets Expressing Co-Occurrence and Mutual Exclusivity. KDD 2020: 813-823
2010 – 2019
- 2019
- [c2]Jonas Fischer, Jilles Vreeken:
Sets of Robust Rules, and How to Find Them. ECML/PKDD (1) 2019: 38-54 - 2011
- [c1]Jonas Schild, Sven Seele, Jonas Fischer, Maic Masuch:
Multi-pass rendering of stereoscopic video on consumer graphics cards. SI3D 2011: 209
Coauthor Index
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