Patrik Reizinger

According to our database, Patrik Reizinger authored at least 9 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

nl-causal-representations.

Patrik Reizinger, Yash Sharma, Matthias Bethge, Bernhard Schölkopf, Ferenc Huszár, Wieland Brendel

Dataset, April, 2023

Jacobian-based Causal Discovery with Nonlinear ICA.

Patrik Reizinger, Yash Sharma, Matthias Bethge, Bernhard Schölkopf, Ferenc Huszár, Wieland Brendel

Trans. Mach. Learn. Res., 2023

An Interventional Perspective on Identifiability in Gaussian LTI Systems with Independent Component Analysis.

Goutham Rajendran, Patrik Reizinger, Wieland Brendel, Pradeep Ravikumar

CoRR, 2023

2022

nl-causal-representations.

Patrik Reizinger, Yash Sharma, Matthias Bethge, Bernhard Schölkopf, Ferenc Huszár, Wieland Brendel

Dataset, August, 2022

ima-vae.

Patrik Reizinger, Luigi Gresele, Jack Brady, Dominik Zietlow, Julius von Kügelgen, Michel Besserve, Georg Martius, Wieland Brendel, Bernhard Schölkopf

Dataset, June, 2022

Embrace the Gap: VAEs Perform Independent Mechanism Analysis.

Patrik Reizinger, Luigi Gresele, Jack Brady, Julius von Kügelgen, Dominik Zietlow, Bernhard Schölkopf, Georg Martius, Wieland Brendel, Michel Besserve

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Handling Realistic Noise in Multi-Agent Systems with Self-Supervised Learning and Curiosity.

Márton Szemenyei, Patrik Reizinger

J. Artif. Intell. Soft Comput. Res., 2021

2020

Attention-Based Curiosity-Driven Exploration in Deep Reinforcement Learning.

Patrik Reizinger, Márton Szemenyei

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Stochastic Weight Matrix-Based Regularization Methods for Deep Neural Networks.

Patrik Reizinger, Bálint Gyires-Tóth

Proceedings of the Machine Learning, Optimization, and Data Science, 2019