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2020 – today
- 2024
[c5]Goutham Rajendran, Patrik Reizinger, Wieland Brendel, Pradeep Kumar Ravikumar:
An Interventional Perspective on Identifiability in Gaussian LTI Systems with Independent Component Analysis. CLeaR 2024: 41-70- [c4]Patrik Reizinger, Szilvia Ujváry, Anna Mészáros, Anna Kerekes, Wieland Brendel, Ferenc Huszár:
Position: Understanding LLMs Requires More Than Statistical Generalization. ICML 2024 - [i9]Patrik Reizinger, Szilvia Ujváry, Anna Mészáros, Anna Kerekes, Wieland Brendel, Ferenc Huszár:
Understanding LLMs Requires More Than Statistical Generalization. CoRR abs/2405.01964 (2024) - [i8]Patrik Reizinger, Siyuan Guo, Ferenc Huszár, Bernhard Schölkopf, Wieland Brendel:
Identifiable Exchangeable Mechanisms for Causal Structure and Representation Learning. CoRR abs/2406.14302 (2024) - [i7]Evgenia Rusak, Patrik Reizinger, Attila Juhos, Oliver Bringmann, Roland S. Zimmermann, Wieland Brendel:
InfoNCE: Identifying the Gap Between Theory and Practice. CoRR abs/2407.00143 (2024) - [i6]Anna Mészáros, Szilvia Ujváry, Wieland Brendel, Patrik Reizinger, Ferenc Huszár:
Rule Extrapolation in Language Models: A Study of Compositional Generalization on OOD Prompts. CoRR abs/2409.13728 (2024) - [i5]Patrik Reizinger, Alice Bizeul, Attila Juhos, Julia E. Vogt, Randall Balestriero, Wieland Brendel, David A. Klindt:
Cross-Entropy Is All You Need To Invert the Data Generating Process. CoRR abs/2410.21869 (2024) - 2023
- [j2]Patrik Reizinger, Yash Sharma, Matthias Bethge, Bernhard Schölkopf, Ferenc Huszár, Wieland Brendel:
Jacobian-based Causal Discovery with Nonlinear ICA. Trans. Mach. Learn. Res. 2023 (2023) - [d3]Patrik Reizinger
, Yash Sharma, Matthias Bethge, Bernhard Schölkopf, Ferenc Huszár, Wieland Brendel:
nl-causal-representations. Version v1.0.1. Zenodo, 2023 [all versions]
- [i4]Goutham Rajendran, Patrik Reizinger, Wieland Brendel, Pradeep Ravikumar:
An Interventional Perspective on Identifiability in Gaussian LTI Systems with Independent Component Analysis. CoRR abs/2311.18048 (2023) - 2022
- [c3]Patrik Reizinger, Luigi Gresele, Jack Brady, Julius von Kügelgen, Dominik Zietlow, Bernhard Schölkopf, Georg Martius, Wieland Brendel, Michel Besserve:
Embrace the Gap: VAEs Perform Independent Mechanism Analysis. NeurIPS 2022 - [d2]Patrik Reizinger, Luigi Gresele, Jack Brady, Dominik Zietlow, Julius von Kügelgen, Michel Besserve, Georg Martius, Wieland Brendel, Bernhard Schölkopf:
ima-vae. Zenodo, 2022 - [d1]Patrik Reizinger, Yash Sharma, Matthias Bethge, Bernhard Schölkopf, Ferenc Huszár, Wieland Brendel:
nl-causal-representations. Version 1.0.0. Zenodo, 2022 [all versions] - [i3]Patrik Reizinger, Luigi Gresele, Jack Brady, Julius von Kügelgen, Dominik Zietlow, Bernhard Schölkopf, Georg Martius, Wieland Brendel, Michel Besserve:
Embrace the Gap: VAEs Perform Independent Mechanism Analysis. CoRR abs/2206.02416 (2022) - 2021
- [j1]Márton Szemenyei, Patrik Reizinger:
Handling Realistic Noise in Multi-Agent Systems with Self-Supervised Learning and Curiosity. J. Artif. Intell. Soft Comput. Res. 12(2): 135-148 (2021) - 2020
- [c2]Patrik Reizinger, Márton Szemenyei:
Attention-Based Curiosity-Driven Exploration in Deep Reinforcement Learning. ICASSP 2020: 3542-3546
2010 – 2019
- 2019
- [c1]Patrik Reizinger, Bálint Gyires-Tóth:
Stochastic Weight Matrix-Based Regularization Methods for Deep Neural Networks. LOD 2019: 45-57 - [i2]Patrik Reizinger, Bálint Gyires-Tóth:
Stochastic Weight Matrix-based Regularization Methods for Deep Neural Networks. CoRR abs/1909.11977 (2019) - [i1]Patrik Reizinger, Márton Szemenyei:
Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning. CoRR abs/1910.10840 (2019)
Coauthor Index
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