Patrik Reizinger

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Wieland BrendelFellow at ELLIS Institut Tübingen, Group Leader, Max Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
Marton SzemenyeiAssistant Professor, Budapest University of Technology and EconomicsVerified email at iit.bme.hu
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHVerified email at tuebingen.mpg.de
Ferenc HuszárUniversity of CambridgeVerified email at cam.ac.uk
Matthias BethgeTübingen University & Maddox Co-FounderVerified email at bethgelab.org
Yash SharmaUniversity of Tübingen, Max Planck Institute for Intelligent SystemsVerified email at bethgelab.org
Julius von KügelgenETH ZürichVerified email at tuebingen.mpg.de
Georg MartiusUniversity of Tübingen and Max Planck Institute for Intelligent SystemsVerified email at uni-tuebingen.de
Luigi GreseleUniversity of CopenhagenVerified email at math.ku.dk
Michel BesserveMax Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
Dominik ZietlowELLIS Institute TübingenVerified email at tue.ellis.eu
Jack BradyPhD StudentVerified email at tuebingen.mpg.de
Pradeep RavikumarProfessor, School of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Goutham RajendranCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Bálint Gyires-TóthBudapest University of Technology and EconomicsVerified email at tmit.bme.hu
Evgenia RusakM.Sc.Verified email at uni-tuebingen.de
Roland Simon ZimmermannUniversity of TübingenVerified email at uni-tuebingen.de
Oliver BringmannProfessor of Embedded Systems, Eberhard Karls Universität Tübingen, GermanyVerified email at uni-tuebingen.de
Ferenc VajdaBudapest University of Technology and Economics, Dept. of Control Engineering and Information TechnologyVerified email at iit.bme.hu
Hamza KeurtiPhD researcher, ETHZürich + MPI-ISVerified email at ethz.ch

Patrik Reizinger

Max Planck Institute for Intelligent Systems

Verified email at tuebingen.mpg.de - Homepage

Causal Representation Learning Independent Component Analysis Machine Learning Causal Inference


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Attention-based curiosity-driven exploration in deep reinforcement learning P Reizinger, M Szemenyei ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020	25	2020
Embrace the gap: Vaes perform independent mechanism analysis P Reizinger, L Gresele, J Brady, J Von Kügelgen, D Zietlow, B Schölkopf, ... Advances in Neural Information Processing Systems 35, 12040-12057, 2022	19	2022
Attention-based curiosity in multi-agent reinforcement learning environments M Szemenyei, P Reizinger 2019 International Conference on Control, Artificial Intelligence, Robotics …, 2019	10	2019
Jacobian-based causal discovery with nonlinear ICA P Reizinger, Y Sharma, M Bethge, B Schölkopf, F Huszár, W Brendel Transactions on Machine Learning Research, 2022	9	2022
An interventional perspective on identifiability in gaussian lti systems with independent component analysis G Rajendran, P Reizinger, W Brendel, PK Ravikumar Causal Learning and Reasoning, 41-70, 2024	3	2024
Stochastic weight matrix-based regularization methods for deep neural networks P Reizinger, B Gyires-Tóth Machine Learning, Optimization, and Data Science: 5th International …, 2019	2	2019
SAMBA: Regularized Autoencoders perform Sharpness-Aware Minimization P Reizinger, F Huszár Fifth Symposium on Advances in Approximate Bayesian Inference, 2023	1	2023
Multivariable Causal Discovery with General Nonlinear Relationships P Reizinger, Y Sharma, M Bethge, B Schölkopf, F Huszár, W Brendel UAI 2022 Workshop on Causal Representation Learning, 2022	1	2022
Content suppresses style: dimensionality collapse in contrastive learning E Rusak, P Reizinger, RS Zimmermann, O Bringmann, W Brendel NeurIPS 2022 Workshop: Self-Supervised Learning-Theory and Practice 3, 2022	1	2022
Independent Mechanism Analysis in GPLVMs P Reizinger, HB Li, A Ravuri, F Huszár, ND Lawrence Fifth Symposium on Advances in Approximate Bayesian Inference, 2023		2023
Desiderata for Representation Learning from Identifiability, Disentanglement, and Group-Structuredness H Keurti, P Reizinger, B Schölkopf, W Brendel		2023
The Falsificationist View of Machine Learning. P REIZINGER Information Society/Információs Társadalom (InfTars) 23 (2), 2023		2023
CubeSat attitude determination with decomposed Kalman filters R Patrik, V Ferenc Journal of the Brazilian Society of Mechanical Sciences and Engineering 45 …, 2023		2023
Handling realistic noise in multi-agent systems with self-supervised learning and curiosity M Szemenyei, P Reizinger Journal of Artificial Intelligence and Soft Computing Research 12 (2), 135-148, 2021		2021
Learning to Play Robot Soccer from Partial Observations M Szemenyei, P Reizinger 2020 23rd International Symposium on Measurement and Control in Robotics …, 2020		2020
Kisműholdak fejlesztése a sokoldalúság és a könnyű reprodukálhatóság tükrében H Péter, R Patrik, M Dorottya, S Alexandra Repüléstudományi Közlemények 32 (2), 81–95-81–95, 2020		2020
Concept of a mobile, cameraless VR-controller framework for working environments P Reizinger, F Vajda		2018
Lessons from Identifiability for Understanding Large Language Models P Reizinger, S Ujváry, A Mészáros, A Kerekes, W Brendel, F Huszár ICLR 2024 Workshop on Mathematical and Empirical Understanding of Foundation …, 0

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