Ryota Tomioka

According to our database, Ryota Tomioka authored at least 64 papers between 2006 and 2024.

Collaborative distances:

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

2024

Latent Representation and Simulation of Markov Processes via Time-Lagged Information Bottleneck.

Marco Federici, Patrick Forré, Ryota Tomioka, Bastiaan S. Veeling

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

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

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021

DistIR: An Intermediate Representation and Simulator for Efficient Neural Network Distribution.

Keshav Santhanam, Siddharth Krishna, Ryota Tomioka, Tim Harris, Matei Zaharia

CoRR, 2021

An Information-theoretic Approach to Distribution Shifts.

Marco Federici, Ryota Tomioka, Patrick Forré

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

DistIR: An Intermediate Representation for Optimizing Distributed Neural Networks.

Keshav Santhanam, Siddharth Krishna, Ryota Tomioka, Andrew W. Fitzgibbon, Tim Harris

Proceedings of the EuroMLSys@EuroSys 2021, 2021

Regularized Policies are Reward Robust.

Hisham Husain, Kamil Ciosek, Ryota Tomioka

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them.

Chen Liu, Mathieu Salzmann, Tao Lin, Ryota Tomioka, Sabine Süsstrunk

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Conservative Uncertainty Estimation By Fitting Prior Networks.

Kamil Ciosek, Vincent Fortuin, Ryota Tomioka, Katja Hofmann, Richard E. Turner

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

On Certifying Non-uniform Bound against Adversarial Attacks.

Chen Liu, Ryota Tomioka, Volkan Cevher

CoRR, 2019

Hierarchical Representations with Poincaré Variational Auto-Encoders.

Emile Mathieu, Charline Le Lan, Chris J. Maddison, Ryota Tomioka, Yee Whye Teh

CoRR, 2019

Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders.

Emile Mathieu, Charline Le Lan, Chris J. Maddison, Ryota Tomioka, Yee Whye Teh

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

On Certifying Non-Uniform Bounds against Adversarial Attacks.

Chen Liu, Ryota Tomioka, Volkan Cevher

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Depth and nonlinearity induce implicit exploration for RL.

Justas Dauparas, Ryota Tomioka, Katja Hofmann

CoRR, 2018

Multi-Level Variational Autoencoder: Learning Disentangled Representations From Grouped Observations.

Diane Bouchacourt, Ryota Tomioka, Sebastian Nowozin

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Geometry of Optimization and Implicit Regularization in Deep Learning.

Behnam Neyshabur, Ryota Tomioka, Ruslan Salakhutdinov, Nathan Srebro

CoRR, 2017

AMPNet: Asynchronous Model-Parallel Training for Dynamic Neural Networks.

Alex Gaunt, Matthew Johnson, Maik Riechert, Daniel Tarlow, Ryota Tomioka, Dimitrios Vytiniotis, Sam Webster

CoRR, 2017

QSGD: Communication-Efficient SGD via Gradient Quantization and Encoding.

Dan Alistarh, Demjan Grubic, Jerry Li, Ryota Tomioka, Milan Vojnovic

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Batch Policy Gradient Methods for Improving Neural Conversation Models.

Kirthevasan Kandasamy, Yoram Bachrach, Ryota Tomioka, Daniel Tarlow, David Carter

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

Theoretical and Experimental Analyses of Tensor-Based Regression and Classification.

Kishan Wimalawarne, Ryota Tomioka, Masashi Sugiyama

Neural Comput., 2016

Gaussian Attention Model and Its Application to Knowledge Base Embedding and Question Answering.

Liwen Zhang, John M. Winn, Ryota Tomioka

CoRR, 2016

Data-Dependent Path Normalization in Neural Networks.

Behnam Neyshabur, Ryota Tomioka, Ruslan Salakhutdinov, Nathan Srebro

Proceedings of the 4th International Conference on Learning Representations, 2016

QSGD: Randomized Quantization for Communication-Optimal Stochastic Gradient Descent.

Dan Alistarh, Jerry Li, Ryota Tomioka, Milan Vojnovic

CoRR, 2016

f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization.

Sebastian Nowozin, Botond Cseke, Ryota Tomioka

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

Early detection of persistent topics in social networks.

Shota Saito, Ryota Tomioka, Kenji Yamanishi

Soc. Netw. Anal. Min., 2015

Condition for perfect dimensionality recovery by variational Bayesian PCA.

Shinichi Nakajima, Ryota Tomioka, Masashi Sugiyama, S. Derin Babacan

J. Mach. Learn. Res., 2015

The algebraic combinatorial approach for low-rank matrix completion.

Franz J. Király, Louis Theran, Ryota Tomioka

J. Mach. Learn. Res., 2015

Jointly Learning Multiple Perceptual Similarities.

Liwen Zhang, Subhransu Maji, Ryota Tomioka

CoRR, 2015

In Search of the Real Inductive Bias: On the Role of Implicit Regularization in Deep Learning.

Behnam Neyshabur, Ryota Tomioka, Nathan Srebro

Proceedings of the 3rd International Conference on Learning Representations, 2015

Interpolating Convex and Non-Convex Tensor Decompositions via the Subspace Norm.

Qinqing Zheng, Ryota Tomioka

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Norm-Based Capacity Control in Neural Networks.

Behnam Neyshabur, Ryota Tomioka, Nathan Srebro

Proceedings of The 28th Conference on Learning Theory, 2015

2014

Discovering Emerging Topics in Social Streams via Link-Anomaly Detection.

Toshimitsu Takahashi, Ryota Tomioka, Kenji Yamanishi

IEEE Trans. Knowl. Data Eng., 2014

Multitask learning meets tensor factorization: task imputation via convex optimization.

Kishan Wimalawarne, Masashi Sugiyama, Ryota Tomioka

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013

Global analytic solution of fully-observed variational Bayesian matrix factorization.

Shinichi Nakajima, Masashi Sugiyama, S. Derin Babacan, Ryota Tomioka

J. Mach. Learn. Res., 2013

Convex Tensor Decomposition via Structured Schatten Norm Regularization.

Ryota Tomioka, Taiji Suzuki

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Beyond NMF: Time-Domain Audio Source Separation without Phase Reconstruction.

Kazuyoshi Yoshii, Ryota Tomioka, Daichi Mochihashi, Masataka Goto

Proceedings of the 14th International Society for Music Information Retrieval Conference, 2013

Infinite Positive Semidefinite Tensor Factorization for Source Separation of Mixture Signals.

Kazuyoshi Yoshii, Ryota Tomioka, Daichi Mochihashi, Masataka Goto

Proceedings of the 30th International Conference on Machine Learning, 2013

Non-negative Multiple Tensor Factorization.

Koh Takeuchi, Ryota Tomioka, Katsuhiko Ishiguro, Akisato Kimura, Hiroshi Sawada

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Quantitative Prediction of Glaucomatous Visual Field Loss from Few Measurements.

Zenghan Liang, Ryota Tomioka, Hiroshi Murata, Ryo Asaoka, Kenji Yamanishi

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012

A Bayesian Analysis of the Radioactive Releases of Fukushima.

Ryota Tomioka, Morten Mørup

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Self-measuring Similarity for Multi-task Gaussian Process.

Kohei Hayashi, Takashi Takenouchi, Ryota Tomioka, Hisashi Kashima

Proceedings of the Unsupervised and Transfer Learning, 2012

Tensor factorization using auxiliary information.

Atsuhiro Narita, Kohei Hayashi, Ryota Tomioka, Hisashi Kashima

Data Min. Knowl. Discov., 2012

The Algebraic Combinatorial Approach for Low-Rank Matrix Completion

Franz J. Király, Louis Theran, Ryota Tomioka, Takeaki Uno

CoRR, 2012

Perfect Dimensionality Recovery by Variational Bayesian PCA.

Shinichi Nakajima, Ryota Tomioka, Masashi Sugiyama, S. Derin Babacan

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

A Combinatorial Algebraic Approach for the Identifiability of Low-Rank Matrix Completion.

Franz J. Király, Ryota Tomioka

Proceedings of the 29th International Conference on Machine Learning, 2012

2011

Large-scale EEG/MEG source localization with spatial flexibility.

Stefan Haufe, Ryota Tomioka, Thorsten Dickhaus, Claudia Sannelli, Benjamin Blankertz, Guido Nolte, Klaus-Robert Müller

NeuroImage, 2011

SpicyMKL: a fast algorithm for Multiple Kernel Learning with thousands of kernels.

Taiji Suzuki, Ryota Tomioka

Mach. Learn., 2011

Super-Linear Convergence of Dual Augmented Lagrangian Algorithm for Sparsity Regularized Estimation.

Ryota Tomioka, Taiji Suzuki, Masashi Sugiyama

J. Mach. Learn. Res., 2011

Real-Time Change-Point Detection Using Sequentially Discounting Normalized Maximum Likelihood Coding.

Yasuhiro Urabe, Kenji Yamanishi, Ryota Tomioka, Hiroki Iwai

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Large Scale Real-Life Action Recognition Using Conditional Random Fields with Stochastic Training.

Xu Sun, Hisashi Kashima, Ryota Tomioka, Naonori Ueda

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Statistical Performance of Convex Tensor Decomposition.

Ryota Tomioka, Taiji Suzuki, Kohei Hayashi, Hisashi Kashima

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

A New Multi-task Learning Method for Personalized Activity Recognition.

Xu Sun, Hisashi Kashima, Ryota Tomioka, Naonori Ueda, Ping Li

Proceedings of the 11th IEEE International Conference on Data Mining, 2011

2010

Modeling Sparse Connectivity Between Underlying Brain Sources for EEG/MEG.

Stefan Haufe, Ryota Tomioka, Guido Nolte, Klaus-Robert Müller, Motoaki Kawanabe

IEEE Trans. Biomed. Eng., 2010

A regularized discriminative framework for EEG analysis with application to brain-computer interface.

Ryota Tomioka, Klaus-Robert Müller

NeuroImage, 2010

Output Divergence Criterion for Active Learning in Collaborative Settings.

Neil Rubens, Ryota Tomioka, Masashi Sugiyama

Inf. Media Technol., 2010

Regularization Strategies and Empirical Bayesian Learning for MKL.

Ryota Tomioka, Taiji Suzuki

CoRR, 2010

Global Analytic Solution for Variational Bayesian Matrix Factorization.

Shinichi Nakajima, Masashi Sugiyama, Ryota Tomioka

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

A Fast Augmented Lagrangian Algorithm for Learning Low-Rank Matrices.

Ryota Tomioka, Taiji Suzuki, Masashi Sugiyama, Hisashi Kashima

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

2009

Dual-Augmented Lagrangian Method for Efficient Sparse Reconstruction.

Ryota Tomioka, Masashi Sugiyama

IEEE Signal Process. Lett., 2009

2008

Optimizing Spatial filters for Robust EEG Single-Trial Analysis.

Benjamin Blankertz, Ryota Tomioka, Steven Lemm, Motoaki Kawanabe, Klaus-Robert Müller

IEEE Signal Process. Mag., 2008

2007

Invariant Common Spatial Patterns: Alleviating Nonstationarities in Brain-Computer Interfacing.

Benjamin Blankertz, Motoaki Kawanabe, Ryota Tomioka, Friederike U. Hohlefeld, Vadim V. Nikulin, Klaus-Robert Müller

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Classifying matrices with a spectral regularization.

Ryota Tomioka, Kazuyuki Aihara

Proceedings of the Machine Learning, 2007

2006

Logistic Regression for Single Trial EEG Classification.

Ryota Tomioka, Kazuyuki Aihara, Klaus-Robert Müller

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Optimizing Spectral Filters for Single Trial EEG Classification.

Ryota Tomioka, Guido Dornhege, Guido Nolte, Kazuyuki Aihara, Klaus-Robert Müller

Proceedings of the Pattern Recognition, 2006