MatterGen: a generative model for inorganic materials design
Claudio Zeni, Robert Pinsler, Daniel Zügner, Andrew Fowler, Matthew Horton, Xiang Fu, Sasha Shysheya, Jonathan Crabbé, Lixin Sun, Jake Smith, Ryota Tomioka, Tian Xie
December 2023
Ryota Tomioka
Principal Research Manager
Publications
Publications by Year
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Latent Representation and Simulation of Markov Processes via Time-Lagged Information Bottleneck
Marco Federici, Patrick Forr'e, Ryota Tomioka, Bastiaan S. Veeling
ICLR 2024 | September 2023
Timewarp: Transferable Acceleration of Molecular Dynamics by Learning Time-Coarsened Dynamics
Leon Klein, Andrew Y. K. Foong, Tor Erlend Fjelde, Bruno Mlodozeniec, Marc Brockschmidt, Sebastian Nowozin, Frank Noé, Ryota Tomioka
NeurIPS 2023 | February 2023
-
An Information-theoretic Approach to Distribution Shifts
Marco Federici, Ryota Tomioka, Patrick Forré
2021 Neural Information Processing Systems | November 2021
DistIR: An Intermediate Representation for Optimizing Distributed Neural Networks
Keshav Santhanam, Siddharth Krishna, Ryota Tomioka, Andrew Fitzgibbon, Tim Harris
EuroMLSys '21: Proceedings of the 1st Workshop on Machine Learning and Systems | April 2021
Regularized Policies are Reward Robust
Hisham Husain, Kamil Ciosek, Ryota Tomioka
Proceedings of The 24th International Conference on Artificial Intelligence and Statistics | April 2021
-
On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them
Chen Liu, Mathieu Salzmann, Tao Lin, Ryota Tomioka, Sabine Süsstrunk
NeurIPS 2020 | December 2020
Conservative Uncertainty Estimation By Fitting Prior Networks
Kamil Ciosek, Vincent Fortuin, Ryota Tomioka, Katja Hofmann, Richard Turner
Eighth International Conference on Learning Representations (ICLR) | April 2020
-
On Certifying Non-Uniform Bounds against Adversarial Attacks
Chen Liu, Ryota Tomioka, Volkan Cevher
International Conference on Machine Learning (ICML) | June 2019
-
Depth and nonlinearity induce implicit exploration for RL
Justas Dauparas, Ryota Tomioka, Katja Hofmann
ICML workshop on Exploration in RL | July 2018
Multi-Level Variational Autoencoder: Learning Disentangled Representations from Grouped Observations
Diane Bouchacourt, Ryota Tomioka, Sebastian Nowozin
AAAI 2018 | February 2018
-
QSGD: Communication-Efficient SGD via Gradient Quantization and Encoding
Dan Alistarh, Demjan Grubic, Jerry Li, Ryota Tomioka, Milan Vojnovic
Advances in Neural Information Processing Systems 30 (NIPS 2017) | December 2017
AMPNet: Asynchronous Model-Parallel Training for Dynamic Neural Networks
Alexander Gaunt, Matthew Johnson, Maik Riechert, Daniel Tarlow, Ryota Tomioka, Dimitrios Vytiniotis, Sam Webster
arXiv preprint arXiv:1705.09786 | May 2017
-
Gaussian Attention Model and Its Application to Knowledge Base Embedding and Question Answering
Liwen Zhang, John Winn, Ryota Tomioka
MSR-TR-2016-1141 | November 2016
Published by Microsoft
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization
Sebastian Nowozin, Botond Cseke, Ryota Tomioka
Advances in Neural Information Processing Systems 29 (NIPS 2016) | October 2016
-
Data-Dependent Path Normalization in Neural Networks
Behnam Neyshabur, Ryota Tomioka, Ruslan Salakhutdinov, Nathan Srebro
ICLR 2016 | November 2015
Publications by Research Area
-
MatterGen: a generative model for inorganic materials design
Claudio Zeni, Robert Pinsler, Daniel Zügner, Andrew Fowler, Matthew Horton, Xiang Fu, Sasha Shysheya, Jonathan Crabbé, Lixin Sun, Jake Smith, Ryota Tomioka, Tian Xie
December 2023
Latent Representation and Simulation of Markov Processes via Time-Lagged Information Bottleneck
Marco Federici, Patrick Forr'e, Ryota Tomioka, Bastiaan S. Veeling
ICLR 2024 | September 2023
Timewarp: Transferable Acceleration of Molecular Dynamics by Learning Time-Coarsened Dynamics
Leon Klein, Andrew Y. K. Foong, Tor Erlend Fjelde, Bruno Mlodozeniec, Marc Brockschmidt, Sebastian Nowozin, Frank Noé, Ryota Tomioka
NeurIPS 2023 | February 2023
An Information-theoretic Approach to Distribution Shifts
Marco Federici, Ryota Tomioka, Patrick Forré
2021 Neural Information Processing Systems | November 2021
Regularized Policies are Reward Robust
Hisham Husain, Kamil Ciosek, Ryota Tomioka
Proceedings of The 24th International Conference on Artificial Intelligence and Statistics | April 2021
DistIR: An Intermediate Representation for Optimizing Distributed Neural Networks
Keshav Santhanam, Siddharth Krishna, Ryota Tomioka, Andrew Fitzgibbon, Tim Harris
EuroMLSys '21: Proceedings of the 1st Workshop on Machine Learning and Systems | April 2021
On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them
Chen Liu, Mathieu Salzmann, Tao Lin, Ryota Tomioka, Sabine Süsstrunk
NeurIPS 2020 | December 2020
Conservative Uncertainty Estimation By Fitting Prior Networks
Kamil Ciosek, Vincent Fortuin, Ryota Tomioka, Katja Hofmann, Richard Turner
Eighth International Conference on Learning Representations (ICLR) | April 2020
On Certifying Non-Uniform Bounds against Adversarial Attacks
Chen Liu, Ryota Tomioka, Volkan Cevher
International Conference on Machine Learning (ICML) | June 2019
Depth and nonlinearity induce implicit exploration for RL
Justas Dauparas, Ryota Tomioka, Katja Hofmann
ICML workshop on Exploration in RL | July 2018
Multi-Level Variational Autoencoder: Learning Disentangled Representations from Grouped Observations
Diane Bouchacourt, Ryota Tomioka, Sebastian Nowozin
AAAI 2018 | February 2018
QSGD: Communication-Efficient SGD via Gradient Quantization and Encoding
Dan Alistarh, Demjan Grubic, Jerry Li, Ryota Tomioka, Milan Vojnovic
Advances in Neural Information Processing Systems 30 (NIPS 2017) | December 2017
AMPNet: Asynchronous Model-Parallel Training for Dynamic Neural Networks
Alexander Gaunt, Matthew Johnson, Maik Riechert, Daniel Tarlow, Ryota Tomioka, Dimitrios Vytiniotis, Sam Webster
arXiv preprint arXiv:1705.09786 | May 2017
Gaussian Attention Model and Its Application to Knowledge Base Embedding and Question Answering
Liwen Zhang, John Winn, Ryota Tomioka
MSR-TR-2016-1141 | November 2016
Published by Microsoft
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization
Sebastian Nowozin, Botond Cseke, Ryota Tomioka
Advances in Neural Information Processing Systems 29 (NIPS 2016) | October 2016
Data-Dependent Path Normalization in Neural Networks
Behnam Neyshabur, Ryota Tomioka, Ruslan Salakhutdinov, Nathan Srebro
ICLR 2016 | November 2015
Publications by Type
-
Latent Representation and Simulation of Markov Processes via Time-Lagged Information Bottleneck
Marco Federici, Patrick Forr'e, Ryota Tomioka, Bastiaan S. Veeling
ICLR 2024 | September 2023
Timewarp: Transferable Acceleration of Molecular Dynamics by Learning Time-Coarsened Dynamics
Leon Klein, Andrew Y. K. Foong, Tor Erlend Fjelde, Bruno Mlodozeniec, Marc Brockschmidt, Sebastian Nowozin, Frank Noé, Ryota Tomioka
NeurIPS 2023 | February 2023
An Information-theoretic Approach to Distribution Shifts
Marco Federici, Ryota Tomioka, Patrick Forré
2021 Neural Information Processing Systems | November 2021
Regularized Policies are Reward Robust
Hisham Husain, Kamil Ciosek, Ryota Tomioka
Proceedings of The 24th International Conference on Artificial Intelligence and Statistics | April 2021
DistIR: An Intermediate Representation for Optimizing Distributed Neural Networks
Keshav Santhanam, Siddharth Krishna, Ryota Tomioka, Andrew Fitzgibbon, Tim Harris
EuroMLSys '21: Proceedings of the 1st Workshop on Machine Learning and Systems | April 2021
On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them
Chen Liu, Mathieu Salzmann, Tao Lin, Ryota Tomioka, Sabine Süsstrunk
NeurIPS 2020 | December 2020
Conservative Uncertainty Estimation By Fitting Prior Networks
Kamil Ciosek, Vincent Fortuin, Ryota Tomioka, Katja Hofmann, Richard Turner
Eighth International Conference on Learning Representations (ICLR) | April 2020
On Certifying Non-Uniform Bounds against Adversarial Attacks
Chen Liu, Ryota Tomioka, Volkan Cevher
International Conference on Machine Learning (ICML) | June 2019
Depth and nonlinearity induce implicit exploration for RL
Justas Dauparas, Ryota Tomioka, Katja Hofmann
ICML workshop on Exploration in RL | July 2018
Multi-Level Variational Autoencoder: Learning Disentangled Representations from Grouped Observations
Diane Bouchacourt, Ryota Tomioka, Sebastian Nowozin
AAAI 2018 | February 2018
QSGD: Communication-Efficient SGD via Gradient Quantization and Encoding
Dan Alistarh, Demjan Grubic, Jerry Li, Ryota Tomioka, Milan Vojnovic
Advances in Neural Information Processing Systems 30 (NIPS 2017) | December 2017
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization
Sebastian Nowozin, Botond Cseke, Ryota Tomioka
Advances in Neural Information Processing Systems 29 (NIPS 2016) | October 2016
Data-Dependent Path Normalization in Neural Networks
Behnam Neyshabur, Ryota Tomioka, Ruslan Salakhutdinov, Nathan Srebro
ICLR 2016 | November 2015
-
MatterGen: a generative model for inorganic materials design
Claudio Zeni, Robert Pinsler, Daniel Zügner, Andrew Fowler, Matthew Horton, Xiang Fu, Sasha Shysheya, Jonathan Crabbé, Lixin Sun, Jake Smith, Ryota Tomioka, Tian Xie
December 2023
-
AMPNet: Asynchronous Model-Parallel Training for Dynamic Neural Networks
Alexander Gaunt, Matthew Johnson, Maik Riechert, Daniel Tarlow, Ryota Tomioka, Dimitrios Vytiniotis, Sam Webster
arXiv preprint arXiv:1705.09786 | May 2017
-
Gaussian Attention Model and Its Application to Knowledge Base Embedding and Question Answering
Liwen Zhang, John Winn, Ryota Tomioka
MSR-TR-2016-1141 | November 2016
Published by Microsoft