Yutian Chen

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 77

Top Topics

Sensor Networks

Annealing Algorithm

Reinforcement Learning

Top Venues

Publications

Yutian Chen, Dongjie Yue, Changzhi Zhai
Study on Four-Dimensional Evolution of Concentric Traveling Ionospheric Disturbances After Falcon 9 Rocket Launch Using Ionospheric Tomography. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17 (2024)
Konrad Zolna, Serkan Cabi, Yutian Chen, Eric Lau, Claudio Fantacci, Jurgis Pasukonis, Jost Tobias Springenberg, Sergio Gomez Colmenarejo
GATS: Gather-Attend-Scatter. CoRR (2024)
Yuning Yu, Shanglin Hsu, Andre Chen, Yutian Chen, Bin Tang
Truthful and Optimal Data Preservation in Base Station-less Sensor Networks: An Integrated Game Theory and Network Flow Approach. ACM Trans. Sens. Networks 20 (1) (2024)
Yutian Chen, Cong Peng, Yu Dai, Min Luo, Debiao He
Load-Balanced Parallel Implementation on GPUs for Multi-Scalar Multiplication Algorithm. IACR Trans. Cryptogr. Hardw. Embed. Syst. 2024 (2) (2024)
Yutian Chen, Shi Guo, Fangzheng Yu, Feng Zhang, Jinwei Gu, Tianfan Xue
Event-Based Motion Magnification. CoRR (2024)
Jian Song, Yutian Chen, Xun Liu, Nan Zheng
Efficient LiDAR/inertial-based localization with prior map for autonomous robots. Intell. Serv. Robotics 17 (2) (2024)
Robert Tjarko Lange, Tom Schaul, Yutian Chen, Tom Zahavy, Valentin Dalibard, Chris Lu, Satinder Singh, Sebastian Flennerhag
Discovering Evolution Strategies via Meta-Black-Box Optimization. GECCO Companion (2023)
Gianluca Scarpellini, Ksenia Konyushkova, Claudio Fantacci, Tom Le Paine, Yutian Chen, Misha Denil
π2vec: Policy Representations with Successor Features. CoRR (2023)
Robert Tjarko Lange, Tom Schaul, Yutian Chen, Tom Zahavy, Valentin Dalibard, Chris Lu, Satinder Singh, Sebastian Flennerhag
Discovering Evolution Strategies via Meta-Black-Box Optimization. ICLR (2023)
Yutian Chen, Hao Kang, Vivian Zhai, Liangze Li, Rita Singh, Bhiksha Raj
Token Prediction as Implicit Classification to Identify LLM-Generated Text. CoRR (2023)
Justin Ruiz, Christopher Gonzalez, Yutian Chen, Bin Tang
Prize-Collecting Traveling Salesman Problem: A Reinforcement Learning Approach. ICC (2023)
Robert Tjarko Lange, Tom Schaul, Yutian Chen, Chris Lu, Tom Zahavy, Valentin Dalibard, Sebastian Flennerhag
Discovering Attention-Based Genetic Algorithms via Meta-Black-Box Optimization. GECCO (2023)
Jennifer Ly, Yutian Chen, Bin Tang
Data-VCG: A Data Preservation Game for Base Station-less Sensor Networks with Performance Guarantee. IFIP Networking (2023)
Yutian Chen, Hao Kang, Vivian Zhai, Liangze Li, Rita Singh, Bhiksha Ramakrishnan
GPT-Sentinel: Distinguishing Human and ChatGPT Generated Content. CoRR (2023)
Zitong Zhan, Xiangfu Li, Qihang Li, Haonan He, Abhinav Pandey, Haitao Xiao, Yangmengfei Xu, Xiangyu Chen, Kuan Xu, Kun Cao, Zhipeng Zhao, Zihan Wang, Huan Xu, Zihang Fang, Yutian Chen, Wentao Wang, Xu Fang, Yi Du, Tianhao Wu, Xiao Lin, Yuheng Qiu, Fan Yang, Jingnan Shi, Shaoshu Su, Yiren Lu, Taimeng Fu, Karthik Dantu, Jiajun Wu, Lihua Xie, Marco Hutter, Luca Carlone, Sebastian A. Scherer, Daning Huang, Yaoyu Hu, Junyi Geng, Chen Wang
PyPose v0.6: The Imperative Programming Interface for Robotics. CoRR (2023)
Robert Tjarko Lange, Tom Schaul, Yutian Chen, Chris Lu, Tom Zahavy, Valentin Dalibard, Sebastian Flennerhag
Discovering Attention-Based Genetic Algorithms via Meta-Black-Box Optimization. CoRR (2023)
Yutian Chen, Hao Kang, Vivian Zhai, Liangze Li, Rita Singh, Bhiksha Raj
Token Prediction as Implicit Classification to Identify LLM-Generated Text. EMNLP (2023)
Yutian Chen, Liyuan Xu, Çaglar Gülçehre, Tom Le Paine, Arthur Gretton, Nando de Freitas, Arnaud Doucet
On Instrumental Variable Regression for Deep Offline Policy Evaluation. J. Mach. Learn. Res. 23 (2022)
Lucio M. Dery, Abram L. Friesen, Nando de Freitas, Marc'Aurelio Ranzato, Yutian Chen
Multi-step Planning for Automated Hyperparameter Optimization with OptFormer. CoRR (2022)
Louis Kirsch, Sebastian Flennerhag, Hado van Hasselt, Abram L. Friesen, Junhyuk Oh, Yutian Chen
Introducing Symmetries to Black Box Meta Reinforcement Learning. AAAI (2022)
Michalis K. Titsias, Jakub Sygnowski, Yutian Chen
Sequential changepoint detection in neural networks with checkpoints. Stat. Comput. 32 (2) (2022)
Jianguo Wang, Tongsan Wang, Yuna Shi, Diwei Xu, Yutian Chen, Jie Wu
Metaverse, SED Model, and New Theory of Value. Complex. 2022 (2022)
Liyuan Xu, Yutian Chen, Arnaud Doucet, Arthur Gretton
Importance Weighting Approach in Kernel Bayes' Rule. CoRR (2022)
Robert Tjarko Lange, Tom Schaul, Yutian Chen, Tom Zahavy, Valentin Dallibard, Chris Lu, Satinder Singh, Sebastian Flennerhag
Discovering Evolution Strategies via Meta-Black-Box Optimization. CoRR (2022)
Scott E. Reed, Konrad Zolna, Emilio Parisotto, Sergio Gómez Colmenarejo, Alexander Novikov, Gabriel Barth-Maron, Mai Gimenez, 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
A Generalist Agent. Trans. Mach. Learn. Res. 2022 (2022)
Liyuan Xu, Yutian Chen, Arnaud Doucet, Arthur Gretton
Importance Weighted Kernel Bayes' Rule. ICML (2022)
Lynn Gao, Yutian Chen, Bin Tang
Service Function Chain Placement in Cloud Data Center Networks: A Cooperative Multi-agent Reinforcement Learning Approach. GAMENETS (2022)
Jörg Bornschein, Alexandre Galashov, Ross Hemsley, Amal Rannen-Triki, Yutian Chen, Arslan Chaudhry, Xu Owen He, Arthur Douillard, Massimo Caccia, Qixuang 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
NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research. CoRR (2022)
Yutian Chen, Xingyou Song, Chansoo Lee, Zi Wang, Qiuyi Zhang, David Dohan, Kazuya Kawakami, Greg Kochanski, Arnaud Doucet, Marc'Aurelio Ranzato, Sagi Perel, Nando de Freitas
Towards Learning Universal Hyperparameter Optimizers with Transformers. CoRR (2022)
Scott E. Reed, Konrad Zolna, Emilio Parisotto, Sergio Gomez Colmenarejo, Alexander Novikov, Gabriel Barth-Maron, Mai Gimenez, 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
A Generalist Agent. CoRR (2022)
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
Towards Learning Universal Hyperparameter Optimizers with Transformers. NeurIPS (2022)
Yutian Chen, Jennifer Ly, Bin Tang
Voluntary Data Preservation Mechanism in Base Station-Less Sensor Networks. GAMENETS (2022)
Yutian Chen, Hui Xiong, Ying-Ju Chen
Should traditional retailers function as pre-warehouses of online retailers? Int. J. Prod. Res. 59 (5) (2021)
Yutian Chen, Liyuan Xu, Çaglar Gülçehre, Tom Le Paine, Arthur Gretton, Nando de Freitas, Arnaud Doucet
On Instrumental Variable Regression for Deep Offline Policy Evaluation. CoRR (2021)
Pedro A. Ortega, Markus Kunesch, Grégoire Delétang, Tim Genewein, Jordi Grau-Moya, Joel Veness, Jonas Buchli, Jonas Degrave, Bilal Piot, Julien Pérolat, Tom Everitt, Corentin Tallec, Emilio Parisotto, Tom Erez, Yutian Chen, Scott E. Reed, Marcus Hutter, Nando de Freitas, Shane Legg
Shaking the foundations: delusions in sequence models for interaction and control. CoRR (2021)
Yutian Chen, Wenyan Gan, Yi Zhu, Hui Tian, Cong Wang, Wenfeng Ma, Yunbo Li, Dong Wang, Jixian He
Efficient Visual Place Recognition by Adaptive CNN Landmark Matching. KSII Trans. Internet Inf. Syst. 15 (11) (2021)
Hongchang Qiao, Chenchang Zhan, Yutian Chen
A -40 °C to 140 °C Picowatt CMOS Voltage Reference With 0.25-V Power Supply. IEEE Trans. Circuits Syst. II Express Briefs 68 (9) (2021)
Ksenia Konyushkova, Yutian Chen, Thomas Paine, Çaglar Gülçehre, Cosmin Paduraru, Daniel J. Mankowitz, Misha Denil, Nando de Freitas
Active Offline Policy Selection. NeurIPS (2021)
Ksenia Konyushkova, Yutian Chen, Thomas Paine, Çaglar Gülçehre, Cosmin Paduraru, Daniel J. Mankowitz, Misha Denil, Nando de Freitas
Active Offline Policy Selection. CoRR (2021)
Liyuan Xu, Yutian Chen, Siddarth Srinivasan, Nando de Freitas, Arnaud Doucet, Arthur Gretton
Learning Deep Features in Instrumental Variable Regression. ICLR (2021)
Louis Kirsch, Sebastian Flennerhag, Hado van Hasselt, Abram L. Friesen, Junhyuk Oh, Yutian Chen
Introducing Symmetries to Black Box Meta Reinforcement Learning. CoRR (2021)
Çaglar Gülçehre, Sergio Gómez Colmenarejo, Ziyu Wang, Jakub Sygnowski, Thomas Paine, Konrad Zolna, Yutian Chen, Matthew W. Hoffman, Razvan Pascanu, Nando de Freitas
Regularized Behavior Value Estimation. CoRR (2021)
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
Benchmarks for Deep Off-Policy Evaluation. ICLR (2021)
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, Tom Le Paine
Benchmarks for Deep Off-Policy Evaluation. CoRR (2021)
Hongchang Qiao, Chenchang Zhan, Quan Pan, Yutian Chen, Ning Zhang
An Area-Efficient Low Quiescent Current Output Capacitor-Less LDO with Fast Transient Response. ISCAS (2021)
Yiling Huang, Yutian Chen, Jason Pelecanos, Quan Wang
Synth2Aug: Cross-Domain Speaker Recognition with TTS Synthesized Speech. SLT (2021)
Yi Yang, Brendan Shillingford, Yannis M. Assael, Miaosen Wang, Wendi Liu, Yutian Chen, Yu Zhang, Eren Sezener, Luis C. Cobo, Misha Denil, Yusuf Aytar, Nando de Freitas
Large-scale multilingual audio visual dubbing. CoRR (2020)
Yiling Huang, Yutian Chen, Jason Pelecanos, Quan Wang
Synth2Aug: Cross-domain speaker recognition with TTS synthesized speech. CoRR (2020)
Yutian Chen, Abram L. Friesen, Feryal Behbahani, Arnaud Doucet, David Budden, Matthew Hoffman, Nando de Freitas
Modular Meta-Learning with Shrinkage. NeurIPS (2020)
Shanshan Jiao, Zhisong Pan, Yutian Chen, Yunbo Li
Cloud Annealing: A Novel Simulated Annealing Algorithm Based on Cloud Model. IEICE Trans. Inf. Syst. (1) (2020)
Shanshan Jiao, Zhisong Pan, Guyu Hu, Qing Shen, Lin Du, Yutian Chen, Jiabao Wang
Multi-scale and multi-branch feature representation for person re-identification. Neurocomputing 414 (2020)
Liyuan Xu, Yutian Chen, Siddarth Srinivasan, Nando de Freitas, Arnaud Doucet, Arthur Gretton
Learning Deep Features in Instrumental Variable Regression. CoRR (2020)
Yutian Chen, Xiaowei Xu, Dewen Zeng, Yiyu Shi, Haiyun Yuan, Jian Zhuang, Yuhao Dong, Qianjun Jia, Meiping Huang
Myocardial Segmentation of Cardiac MRI Sequences with Temporal Consistency for Coronary Artery Disease Diagnosis. CoRR (2020)
Jamie Hayes, Krishnamurthy Dvijotham, Yutian Chen, Sander Dieleman, Pushmeet Kohli, Norman Casagrande
Towards transformation-resilient provenance detection of digital media. CoRR (2020)
Michalis K. Titsias, Jakub Sygnowski, Yutian Chen
Sequential Changepoint Detection in Neural Networks with Checkpoints. CoRR (2020)
Wu Yin, Chen Zhao, Yutian Chen
Germplasm Selection Based on Machine Vision. ICIT (2019)
Sofiane Lagraa, Yutian Chen, Jérôme François
Deep mining port scans from darknet. Int. J. Netw. Manag. 29 (3) (2019)
Yutian Chen, Abram L. Friesen, Feryal Behbahani, David Budden, Matthew W. Hoffman, Arnaud Doucet, Nando de Freitas
Modular Meta-Learning with Shrinkage. CoRR (2019)
Yutian Chen, Yannis M. Assael, Brendan Shillingford, David Budden, Scott E. Reed, Heiga Zen, Quan Wang, Luis C. Cobo, Andrew Trask, Ben Laurie, Çaglar Gülçehre, Aäron van den Oord, Oriol Vinyals, Nando de Freitas
Sample Efficient Adaptive Text-to-Speech. ICLR (Poster) (2019)
Scott E. Reed, Yutian Chen, Thomas Paine, Aäron van den Oord, S. M. Ali Eslami, Danilo J. Rezende, Oriol Vinyals, Nando de Freitas
Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions. ICLR (Poster) (2018)
Yutian Chen, Yannis M. Assael, Brendan Shillingford, David Budden, Scott E. Reed, Heiga Zen, Quan Wang, Luis C. Cobo, Andrew Trask, Ben Laurie, Çaglar Gülçehre, Aäron van den Oord, Oriol Vinyals, Nando de Freitas
Sample Efficient Adaptive Text-to-Speech. CoRR (2018)
Yutian Chen, Wenyan Gan, Shanshan Jiao, Youwei Xu, Yuntian Feng
Salient Feature Selection for CNN-Based Visual Place Recognition. IEICE Trans. Inf. Syst. (12) (2018)
Yutian Chen, Aja Huang, Ziyu Wang, Ioannis Antonoglou, Julian Schrittwieser, David Silver, Nando de Freitas
Bayesian Optimization in AlphaGo. CoRR (2018)
Vikash K. Mansinghka, Ulrich Schaechtle, Shivam Handa, Alexey Radul, Yutian Chen, Martin Rinard
Probabilistic programming with programmable inference. PLDI (2018)
Yutian Chen, Matthew W. Hoffman, Sergio Gomez Colmenarejo, Misha Denil, Timothy P. Lillicrap, Matthew Botvinick, Nando de Freitas
Learning to Learn without Gradient Descent by Gradient Descent. ICML (2017)
Scott E. Reed, Aäron van den Oord, Nal Kalchbrenner, Sergio Gomez Colmenarejo, Ziyu Wang, Yutian Chen, Dan Belov, Nando de Freitas
Parallel Multiscale Autoregressive Density Estimation. ICML (2017)
Yutian Chen, Wenyan Gan, Lei Zhang, Chong Liu, Xianlei Wang
A Survey on Visual Place Recognition for Mobile Robots Localization. WISA (2017)
Chong Liu, Wenyan Gan, Yutian Chen
Research on Portfolio Optimization Based on Affinity Propagation and Genetic Algorithm. WISA (2017)
David Silver, Julian Schrittwieser, Karen Simonyan, Ioannis Antonoglou, Aja Huang, Arthur Guez, Thomas Hubert, Lucas Baker, Matthew Lai, Adrian Bolton, Yutian Chen, Timothy P. Lillicrap, Fan Hui, Laurent Sifre, George van den Driessche, Thore Graepel, Demis Hassabis
Mastering the game of Go without human knowledge. Nat. 550 (7676) (2017)
Scott E. Reed, Yutian Chen, Thomas Paine, Aäron van den Oord, S. M. Ali Eslami, Danilo Jimenez Rezende, Oriol Vinyals, Nando de Freitas
Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions. CoRR (2017)
Muhannad Alghamdi, Bin Tang, Yutian Chen
Profit-based file replication in data intensive cloud data centers. ICC (2017)
Yutian Chen, Bin Tang
Data Preservation in Base Station-Less Sensor Networks: A Game Theoretic Approach. GAMENETS (2016)
Yutian Chen, Luke Bornn, Nando de Freitas, Mareija Eskelin, Jing Fang, Max Welling
Herded Gibbs Sampling. J. Mach. Learn. Res. 17 (2016)
Yutian Chen, Zoubin Ghahramani
Scalable Discrete Sampling as a Multi-Armed Bandit Problem. ICML (2016)
Anoop Korattikara, Yutian Chen, Max Welling
Sequential Tests for Large-Scale Learning. Neural Comput. 28 (1) (2016)
Yutian Chen, Matthew W. Hoffman, Sergio Gomez Colmenarejo, Misha Denil, Timothy P. Lillicrap, Nando de Freitas
Learning to Learn for Global Optimization of Black Box Functions. CoRR (2016)
Yutian Chen, Max Welling
Herding as a Learning System with Edge-of-Chaos Dynamics. CoRR (2016)
Hong Ge, Yutian Chen, Moquan Wan, Zoubin Ghahramani
Distributed Inference for Dirichlet Process Mixture Models. ICML (2015)
Yarin Gal, Yutian Chen, Zoubin Ghahramani
Latent Gaussian Processes for Distribution Estimation of Multivariate Categorical Data. ICML (2015)
Yutian Chen, Zoubin Ghahramani
Subsampling-Based Approximate Monte Carlo for Discrete Distributions. CoRR (2015)
Roger Frigola, Yutian Chen, Carl E. Rasmussen
Variational Gaussian Process State-Space Models. NIPS (2014)
Yutian Chen, Max Welling
Bayesian Structure Learning for Markov Random Fields with a Spike and Slab Prior. CoRR (2014)
Anoop Korattikara Balan, Yutian Chen, Max Welling
Austerity in MCMC Land: Cutting the Metropolis-Hastings Budget. ICML (2014)
Roger Frigola, Yutian Chen, Carl E. Rasmussen
Variational Gaussian Process State-Space Models. CoRR (2014)
Anoop Korattikara Balan, Yutian Chen, Max Welling
Austerity in MCMC Land: Cutting the Metropolis-Hastings Budget CoRR (2013)
Yutian Chen, Max Welling
Evidence Estimation for Bayesian Partially Observed MRFs. AISTATS (2013)
Sungjin Ahn, Yutian Chen, Max Welling
Distributed and Adaptive Darting Monte Carlo through Regenerations. AISTATS (2013)
Luke Bornn, Yutian Chen, Nando de Freitas, Mareija Eskelin, Jing Fang, Max Welling
Herded Gibbs Sampling ICLR (2013)
Yutian Chen, Max Welling
Bayesian Structure Learning for Markov Random Fields with a Spike and Slab Prior. UAI (2012)
Yutian Chen, Max Welling
Bayesian Structure Learning for Markov Random Fields with a Spike and Slab Prior CoRR (2012)
Yutian Chen, Max Welling, Alexander J. Smola
Super-Samples from Kernel Herding CoRR (2012)
Yutian Chen, Andrew Gelfand, Charless C. Fowlkes, Max Welling
Integrating local classifiers through nonlinear dynamics on label graphs with an application to image segmentation. ICCV (2011)
Yutian Chen, Max Welling
Dynamical Products of Experts for Modeling Financial Time Series. ICML (2010)
Yutian Chen, Max Welling
Parametric Herding. AISTATS (2010)
Boqiu Li, Xueying Zhang, Yutian Chen
Automatic construction and visualization of address models. ICNC (2010)
Yutian Chen, Bin Tang
Data Caching in Ad Hoc Networks Using Game-Theoretic Analysis. SUTC/UMC (2010)
Andrew Gelfand, Yutian Chen, Laurens van der Maaten, Max Welling
On Herding and the Perceptron Cycling Theorem. NIPS (2010)
Yutian Chen, Max Welling, Alexander J. Smola
Super-Samples from Kernel Herding. UAI (2010)
Yutian Chen, Max Welling
Bayesian Extreme Components Analysis. IJCAI (2009)