Maximilian Seitzer

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 16

Top Topics

Probabilistic Neural Networks

Visual Patterns

Reinforcement Learning

Top Venues

Publications

Maximilian Seitzer, Sjoerd van Steenkiste, Thomas Kipf, Klaus Greff, Mehdi S. M. Sajjadi
DyST: Towards Dynamic Neural Scene Representations on Real-World Videos. ICLR (2024)
Maximilian Seitzer, Max Horn, Andrii Zadaianchuk, Dominik Zietlow, Tianjun Xiao, Carl-Johann Simon-Gabriel, Tong He, Zheng Zhang, Bernhard Schölkopf, Thomas Brox, Francesco Locatello
Bridging the Gap to Real-World Object-Centric Learning. ICLR (2023)
Andrii Zadaianchuk, Maximilian Seitzer, Georg Martius
Object-Centric Learning for Real-World Videos by Predicting Temporal Feature Similarities. NeurIPS (2023)
Maximilian Seitzer, Sjoerd van Steenkiste, Thomas Kipf, Klaus Greff, Mehdi S. M. Sajjadi
DyST: Towards Dynamic Neural Scene Representations on Real-World Videos. CoRR (2023)
Andrii Zadaianchuk, Maximilian Seitzer, Georg Martius
Object-Centric Learning for Real-World Videos by Predicting Temporal Feature Similarities. CoRR (2023)
Maximilian Seitzer, Arash Tavakoli, Dimitrije Antic, Georg Martius
On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks. CoRR (2022)
Maximilian Seitzer, Max Horn, Andrii Zadaianchuk, Dominik Zietlow, Tianjun Xiao, Carl-Johann Simon-Gabriel, Tong He, Zheng Zhang, Bernhard Schölkopf, Thomas Brox, Francesco Locatello
Bridging the Gap to Real-World Object-Centric Learning. CoRR (2022)
Maximilian Seitzer, Arash Tavakoli, Dimitrije Antic, Georg Martius
On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks. ICLR (2022)
Maximilian Seitzer, Bernhard Schölkopf, Georg Martius
Causal Influence Detection for Improving Efficiency in Reinforcement Learning. NeurIPS (2021)
Andrii Zadaianchuk, Maximilian Seitzer, Georg Martius
Self-supervised Visual Reinforcement Learning with Object-centric Representations. ICLR (2021)
Maximilian Seitzer, Bernhard Schölkopf, Georg Martius
Causal Influence Detection for Improving Efficiency in Reinforcement Learning. CoRR (2021)
Maximilian Seitzer
NeurIPS 2019 Disentanglement Challenge: Improved Disentanglement through Aggregated Convolutional Feature Maps. CoRR (2020)
Maximilian Seitzer, Andreas Foltyn, Felix P. Kemeth
NeurIPS 2019 Disentanglement Challenge: Improved Disentanglement through Learned Aggregation of Convolutional Feature Maps. CoRR (2020)
Andrii Zadaianchuk, Maximilian Seitzer, Georg Martius
Self-supervised Visual Reinforcement Learning with Object-centric Representations. CoRR (2020)
Maximilian Seitzer, Guang Yang, Jo Schlemper, Ozan Oktay, Tobias Würfl, Vincent Christlein, Tom Wong, Raad Mohiaddin, David N. Firmin, Jennifer Keegan, Daniel Rueckert, Andreas K. Maier
Adversarial and Perceptual Refinement for Compressed Sensing MRI Reconstruction. MICCAI (1) (2018)
Maximilian Seitzer, Guang Yang, Jo Schlemper, Ozan Oktay, Tobias Würfl, Vincent Christlein, Tom Wong, Raad Mohiaddin, David N. Firmin, Jennifer Keegan, Daniel Rueckert, Andreas K. Maier
Adversarial and Perceptual Refinement for Compressed Sensing MRI Reconstruction. CoRR (2018)
Maximilian Seitzer, Michael Gruhn, Tilo Müller
A Bytecode Interpreter for Secure Program Execution in Untrusted Main Memory. ESORICS (2) (2015)