Chen, Yutian

41 publications

TMLR 2026 TRecViT: A Recurrent Video Transformer Viorica Patraucean, Xu Owen He, Joseph Heyward, Chuhan Zhang, Mehdi S. M. Sajjadi, George-Cristian Muraru, Artem Zholus, Mahdi Karami, Ross Goroshin, Yutian Chen, Simon Osindero, Joao Carreira, Razvan Pascanu

NeurIPS 2025 UFM: A Simple Path Towards Unified Dense Correspondence with Flow Yuchen Zhang, Nikhil Varma Keetha, Chenwei Lyu, Bhuvan Jhamb, Yutian Chen, Yuheng Qiu, Jay Karhade, Shreyas Jha, Yaoyu Hu, Deva Ramanan, Sebastian Scherer, Wenshan Wang

ICLR 2024 $\pi$2vec: Policy Representation with Successor Features Gianluca Scarpellini, Ksenia Konyushkova, Claudio Fantacci, Thomas Paine, Yutian Chen, Misha Denil

ECCV 2024 Event-Based Motion Magnification Yutian Chen, Shi Guo, Yu Fangzheng, Feng Zhang, Jinwei Gu, Tianfan Xue

TMLR 2024 OmniPred: Language Models as Universal Regressors Xingyou Song, Oscar Li, Chansoo Lee, Bangding Yang, Daiyi Peng, Sagi Perel, Yutian Chen

ICML 2024 Position: Leverage Foundational Models for Black-Box Optimization Xingyou Song, Yingtao Tian, Robert Tjarko Lange, Chansoo Lee, Yujin Tang, Yutian Chen

ECCV 2024 TimeLens-XL: Real-Time Event-Based Video Frame Interpolation with Large Motion Shi Guo, Yutian Chen, Tianfan Xue, Jinwei Gu, Yongrui Ma

ICLR 2023 Discovering Evolution Strategies via Meta-Black-Box Optimization Robert Tjarko Lange, Tom Schaul, Yutian Chen, Tom Zahavy, Valentin Dalibard, Chris Lu, Satinder Singh, Sebastian Flennerhag

JMLR 2023 Nevis'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research Jorg Bornschein, Alexandre Galashov, Ross Hemsley, Amal Rannen-Triki, Yutian Chen, Arslan Chaudhry, Xu Owen He, Arthur Douillard, Massimo Caccia, Qixuan Feng, Jiajun Shen, Sylvestre-Alvise Rebuffi, Kitty Stacpoole, Diego de las Casas, Will Hawkins, Angeliki Lazaridou, Yee Whye Teh, Andrei A. Rusu, Razvan Pascanu, Marc’Aurelio Ranzato

TMLR 2022 A Generalist Agent Scott Reed, Konrad Zolna, Emilio Parisotto, Sergio Gómez Colmenarejo, Alexander Novikov, Gabriel Barth-maron, Mai Giménez, Yury Sulsky, Jackie Kay, Jost Tobias Springenberg, Tom Eccles, Jake Bruce, Ali Razavi, Ashley Edwards, Nicolas Heess, Yutian Chen, Raia Hadsell, Oriol Vinyals, Mahyar Bordbar, Nando de Freitas

ICML 2022 Importance Weighted Kernel Bayes’ Rule Liyuan Xu, Yutian Chen, Arnaud Doucet, Arthur Gretton

AAAI 2022 Introducing Symmetries to Black Box Meta Reinforcement Learning Louis Kirsch, Sebastian Flennerhag, Hado van Hasselt, Abram L. Friesen, Junhyuk Oh, Yutian Chen

NeurIPSW 2022 Multi-Step Planning for Automated Hyperparameter Optimization with OptFormer Lucio M. Dery, Abram L. Friesen, Nando de Freitas, MarcAurelio Ranzato, Yutian Chen

JMLR 2022 On Instrumental Variable Regression for Deep Offline Policy Evaluation Yutian Chen, Liyuan Xu, Caglar Gulcehre, Tom Le Paine, Arthur Gretton, Nando de Freitas, Arnaud Doucet

NeurIPS 2022 Towards Learning Universal Hyperparameter Optimizers with Transformers Yutian Chen, Xingyou Song, Chansoo Lee, Zi Wang, Richard Zhang, David Dohan, Kazuya Kawakami, Greg Kochanski, Arnaud Doucet, Marc'Aurelio Ranzato, Sagi Perel, Nando de Freitas

NeurIPS 2021 Active Offline Policy Selection Ksenia Konyushova, Yutian Chen, Thomas Paine, Caglar Gulcehre, Cosmin Paduraru, Daniel J Mankowitz, Misha Denil, Nando de Freitas

ICLR 2021 Benchmarks for Deep Off-Policy Evaluation Justin Fu, Mohammad Norouzi, Ofir Nachum, George Tucker, Ziyu Wang, Alexander Novikov, Mengjiao Yang, Michael R Zhang, Yutian Chen, Aviral Kumar, Cosmin Paduraru, Sergey Levine, Thomas Paine

NeurIPSW 2021 Introducing Symmetries to Black Box Meta Reinforcement Learning Louis Kirsch, Sebastian Flennerhag, Hado van Hasselt, Abram L. Friesen, Junhyuk Oh, Yutian Chen

NeurIPSW 2021 Introducing Symmetries to Black Box Meta Reinforcement Learning Louis Kirsch, Sebastian Flennerhag, Hado van Hasselt, Abram L. Friesen, Junhyuk Oh, Yutian Chen

ICLR 2021 Learning Deep Features in Instrumental Variable Regression Liyuan Xu, Yutian Chen, Siddarth Srinivasan, Nando de Freitas, Arnaud Doucet, Arthur Gretton

NeurIPS 2020 Modular Meta-Learning with Shrinkage Yutian Chen, Abram L. Friesen, Feryal Behbahani, Arnaud Doucet, David Budden, Matthew Hoffman, Nando de Freitas

ICLR 2019 Sample Efficient Adaptive Text-to-Speech Yutian Chen, Yannis Assael, Brendan Shillingford, David Budden, Scott Reed, Heiga Zen, Quan Wang, Luis C. Cobo, Andrew Trask, Ben Laurie, Caglar Gulcehre, Aäron van den Oord, Oriol Vinyals, Nando de Freitas

ICLR 2018 Few-Shot Autoregressive Density Estimation: Towards Learning to Learn Distributions Scott Reed, Yutian Chen, Thomas Paine, Aäron van den Oord, S. M. Ali Eslami, Danilo Rezende, Oriol Vinyals, Nando de Freitas

ICML 2017 Learning to Learn Without Gradient Descent by Gradient Descent Yutian Chen, Matthew W. Hoffman, Sergio Gómez Colmenarejo, Misha Denil, Timothy P. Lillicrap, Matt Botvinick, Nando Freitas

ICML 2017 Parallel Multiscale Autoregressive Density Estimation Scott Reed, Aäron Oord, Nal Kalchbrenner, Sergio Gómez Colmenarejo, Ziyu Wang, Yutian Chen, Dan Belov, Nando Freitas

JMLR 2016 Herded Gibbs Sampling Yutian Chen, Luke Bornn, Nando de Freitas, Mareija Eskelin, Jing Fang, Max Welling

ICML 2016 Scalable Discrete Sampling as a Multi-Armed Bandit Problem Yutian Chen, Zoubin Ghahramani

ICML 2015 Distributed Inference for Dirichlet Process Mixture Models Hong Ge, Yutian Chen, Moquan Wan, Zoubin Ghahramani

ICML 2015 Latent Gaussian Processes for Distribution Estimation of Multivariate Categorical Data Yarin Gal, Yutian Chen, Zoubin Ghahramani

ICML 2014 Austerity in MCMC Land: Cutting the Metropolis-Hastings Budget Anoop Korattikara, Yutian Chen, Max Welling

NeurIPS 2014 Variational Gaussian Process State-Space Models Roger Frigola, Yutian Chen, Carl Edward Rasmussen

AISTATS 2013 Distributed and Adaptive Darting Monte Carlo Through Regenerations Sungjin Ahn, Yutian Chen, Max Welling

AISTATS 2013 Evidence Estimation for Bayesian Partially Observed MRFs Yutian Chen, Max Welling

ICLR 2013 Herded Gibbs Sampling Luke Bornn, Yutian Chen, Nando de Freitas, Mareija Eskelin, Jing Fang, Max Welling

UAI 2012 Bayesian Structure Learning for Markov Random Fields with a Spike and Slab Prior Yutian Chen, Max Welling

ICCV 2011 Integrating Local Classifiers Through Nonlinear Dynamics on Label Graphs with an Application to Image Segmentation Yutian Chen, Andrew Gelfand, Charless C. Fowlkes, Max Welling

ICML 2010 Dynamical Products of Experts for Modeling Financial Time Series Yutian Chen, Max Welling

NeurIPS 2010 On Herding and the Perceptron Cycling Theorem Andrew Gelfand, Yutian Chen, Laurens Maaten, Max Welling

AISTATS 2010 Parametric Herding Yutian Chen, Max Welling

UAI 2010 Super-Samples from Kernel Herding Yutian Chen, Max Welling, Alexander J. Smola

IJCAI 2009 Bayesian Extreme Components Analysis Yutian Chen, Max Welling