Yi Ma

ORCID

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 113

Top Venues

Publications

Druv Pai, Sam Buchanan, Ziyang Wu, Yaodong Yu, Yi Ma
Masked Completion via Structured Diffusion with White-Box Transformers. ICLR (2024)
Hongxiang Zhao, Xili Dai, Jianan Wang, Shengbang Tong, Jingyuan Zhang, Weida Wang, Lei Zhang, Yi Ma
Ctrl123: Consistent Novel View Synthesis via Closed-Loop Transcription. CoRR (2024)
Shengbang Tong, Zhuang Liu, Yuexiang Zhai, Yi Ma, Yann LeCun, Saining Xie
Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs. CoRR (2024)
Chun-Hsiao Yeh, Ta Ying Cheng, He-Yen Hsieh, Chuan-En Lin, Yi Ma, Andrew Markham, Niki Trigoni, Hsiang-Tsung Kung, Yubei Chen
Gen4Gen: Generative Data Pipeline for Generative Multi-Concept Composition. CoRR (2024)
Tom Sander, Yaodong Yu, Maziar Sanjabi, Alain Durmus, Yi Ma, Kamalika Chaudhuri, Chuan Guo
Differentially Private Representation Learning via Image Captioning. CoRR (2024)
Yuexiang Zhai, Hao Bai, Zipeng Lin, Jiayi Pan, Shengbang Tong, Yifei Zhou, Alane Suhr, Saining Xie, Yann LeCun, Yi Ma, Sergey Levine
Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning. CoRR (2024)
Peng Wang, Huikang Liu, Druv Pai, Yaodong Yu, Zhihui Zhu, Qing Qu, Yi Ma
A Global Geometric Analysis of Maximal Coding Rate Reduction. CoRR (2024)
Tianzhe Chu, Shengbang Tong, Tianjiao Ding, Xili Dai, Benjamin David Haeffele, René Vidal, Yi Ma
Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models. ICLR (2024)
Jun Wang, Ying Yuan, Haichuan Che, Haozhi Qi, Yi Ma, Jitendra Malik, Xiaolong Wang
Lessons from Learning to Spin "Pens". CoRR (2024)
Jianlan Luo, Perry Dong, Yuexiang Zhai, Yi Ma, Sergey Levine
RLIF: Interactive Imitation Learning as Reinforcement Learning. ICLR (2024)
Druv Pai, Ziyang Wu, Sam Buchanan, Yaodong Yu, Yi Ma
Masked Completion via Structured Diffusion with White-Box Transformers. CoRR (2024)
Druv Pai, Michael Psenka, Chih-Yuan Chiu, Manxi Wu, Edgar Dobriban, Yi Ma
Pursuit of a discriminative representation for multiple subspaces via sequential games. J. Frankl. Inst. 360 (6) (2023)
Yaodong Yu, Maziar Sanjabi, Yi Ma, Kamalika Chaudhuri, Chuan Guo
ViP: A Differentially Private Foundation Model for Computer Vision. CoRR (2023)
Mitsuhiko Nakamoto, Simon Zhai, Anikait Singh, Max Sobol Mark, Yi Ma, Chelsea Finn, Aviral Kumar, Sergey Levine
Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning. NeurIPS (2023)
Shengbang Tong, Xili Dai, Ziyang Wu, Mingyang Li, Brent Yi, Yi Ma
Incremental Learning of Structured Memory via Closed-Loop Transcription. ICLR (2023)
Jianlan Luo, Perry Dong, Yuexiang Zhai, Yi Ma, Sergey Levine
RLIF: Interactive Imitation Learning as Reinforcement Learning. CoRR (2023)
Peiqi Duan, Boyu Li, Yixin Yang, Hanyue Lou, Minggui Teng, Yi Ma, Boxin Shi
EventAid: Benchmarking Event-aided Image/Video Enhancement Algorithms with Real-captured Hybrid Dataset. CoRR (2023)
Yaodong Yu, Sai Praneeth Karimireddy, Yi Ma, Michael I. Jordan
Scaff-PD: Communication Efficient Fair and Robust Federated Learning. CoRR (2023)
Yaodong Yu, Sam Buchanan, Druv Pai, Tianzhe Chu, Ziyang Wu, Shengbang Tong, Benjamin D. Haeffele, Yi Ma
White-Box Transformers via Sparse Rate Reduction. NeurIPS (2023)
Brent Yi, Weijia Zeng, Sam Buchanan, Yi Ma
Canonical Factors for Hybrid Neural Fields. CoRR (2023)
Mitsuhiko Nakamoto, Yuexiang Zhai, Anikait Singh, Max Sobol Mark, Yi Ma, Chelsea Finn, Aviral Kumar, Sergey Levine
Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning. CoRR (2023)
Yaodong Yu, Tianzhe Chu, Shengbang Tong, Ziyang Wu, Druv Pai, Sam Buchanan, Yi Ma
Emergence of Segmentation with Minimalistic White-Box Transformers. CoRR (2023)
Haozhi Qi, Brent Yi, Sudharshan Suresh, Mike Lambeta, Yi Ma, Roberto Calandra, Jitendra Malik
General In-Hand Object Rotation with Vision and Touch. CoRR (2023)
Tianjiao Ding, Shengbang Tong, Kwan Ho Ryan Chan, Xili Dai, Yi Ma, Benjamin D. Haeffele
Unsupervised Manifold Linearizing and Clustering. CoRR (2023)
Tianjiao Ding, Shengbang Tong, Kwan Ho Ryan Chan, Xili Dai, Yi Ma, Benjamin D. Haeffele
Unsupervised Manifold Linearizing and Clustering. ICCV (2023)
Michael Psenka, Druv Pai, Vishal Raman, Shankar Sastry, Yi Ma
Representation Learning via Manifold Flattening and Reconstruction. CoRR (2023)
Yubei Chen, Zeyu Yun, Yi Ma, Bruno A. Olshausen, Yann LeCun
Minimalistic Unsupervised Representation Learning with the Sparse Manifold Transform. ICLR (2023)
Qiyang Li, Yuexiang Zhai, Yi Ma, Sergey Levine
Understanding the Complexity Gains of Single-Task RL with a Curriculum. ICML (2023)
Yaodong Yu, Sam Buchanan, Druv Pai, Tianzhe Chu, Ziyang Wu, Shengbang Tong, Benjamin D. Haeffele, Yi Ma
White-Box Transformers via Sparse Rate Reduction. CoRR (2023)
Tianzhe Chu, Shengbang Tong, Tianjiao Ding, Xili Dai, Benjamin David Haeffele, René Vidal, Yi Ma
Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models. CoRR (2023)
Nima Rahmanian, Michael Gupta, Renzo Soatto, Srisai Nachuri, Michael Psenka, Yi Ma, S. Shankar Sastry
Role of Uncertainty in Anticipatory Trajectory Prediction for a Ping-Pong Playing Robot. CoRR (2023)
Michael Psenka, Alejandro Escontrela, Pieter Abbeel, Yi Ma
Learning a Diffusion Model Policy from Rewards via Q-Score Matching. CoRR (2023)
Peiqi Duan, Yi Ma, Xinyu Zhou, Xinyu Shi, Zihao W. Wang, Tiejun Huang, Boxin Shi
NeuroZoom: Denoising and Super Resolving Neuromorphic Events and Spikes. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Xili Dai, Ke Chen, Shengbang Tong, Jingyuan Zhang, Xingjian Gao, Mingyang Li, Druv Pai, Yuexiang Zhai, Xiaojun Yuan, Heung-Yeung Shum, Lionel M. Ni, Yi Ma
Closed-Loop Transcription via Convolutional Sparse Coding. CoRR (2023)
Brent Yi, Weijia Zeng, Sam Buchanan, Yi Ma
Canonical Factors for Hybrid Neural Fields. ICCV (2023)
Haozhi Qi, Brent Yi, Sudharshan Suresh, Mike Lambeta, Yi Ma, Roberto Calandra, Jitendra Malik
General In-hand Object Rotation with Vision and Touch. CoRL (2023)
Kwan Ho Ryan Chan, Yaodong Yu, Chong You, Haozhi Qi, John Wright, Yi Ma
ReduNet: A White-box Deep Network from the Principle of Maximizing Rate Reduction. J. Mach. Learn. Res. 23 (2022)
Druv Pai, Michael Psenka, Chih-Yuan Chiu, Manxi Wu, Edgar Dobriban, Yi Ma
Pursuit of a Discriminative Representation for Multiple Subspaces via Sequential Games. CoRR (2022)
Yuexiang Zhai, Christina Baek, Zhengyuan Zhou, Jiantao Jiao, Yi Ma
Computational Benefits of Intermediate Rewards for Goal-Reaching Policy Learning. J. Artif. Intell. Res. 73 (2022)
Xili Dai, Haigang Gong, Shuai Wu, Xiaojun Yuan, Yi Ma
Fully convolutional line parsing. Neurocomputing 506 (2022)
Christina Baek, Ziyang Wu, Kwan Ho Ryan Chan, Tianjiao Ding, Yi Ma, Benjamin D. Haeffele
Efficient Maximal Coding Rate Reduction by Variational Forms. CVPR (2022)
Yaodong Yu, Zitong Yang, Alexander Wei, Yi Ma, Jacob Steinhardt
Predicting Out-of-Distribution Error with the Projection Norm. ICML (2022)
Xinyu Zhou, Peiqi Duan, Yi Ma, Boxin Shi
EvUnroll: Neuromorphic Events based Rolling Shutter Image Correction. CVPR (2022)
Shengbang Tong, Xili Dai, Ziyang Wu, Mingyang Li, Brent Yi, Yi Ma
Incremental Learning of Structured Memory via Closed-Loop Transcription. CoRR (2022)
Yaodong Yu, Alexander Wei, Sai Praneeth Karimireddy, Yi Ma, Michael I. Jordan
TCT: Convexifying Federated Learning using Bootstrapped Neural Tangent Kernels. CoRR (2022)
Chris Junchi Li, Yaodong Yu, Nicolas Loizou, Gauthier Gidel, Yi Ma, Nicolas Le Roux, Michael I. Jordan
On the Convergence of Stochastic Extragradient for Bilinear Games using Restarted Iteration Averaging. AISTATS (2022)
Yaodong Yu, Alexander Wei, Sai Praneeth Karimireddy, Yi Ma, Michael I. Jordan
TCT: Convexifying Federated Learning using Bootstrapped Neural Tangent Kernels. NeurIPS (2022)
Xili Dai, Mingyang Li, Pengyuan Zhai, Shengbang Tong, Xingjian Gao, Shao-Lun Huang, Zhihui Zhu, Chong You, Yi Ma
Revisiting Sparse Convolutional Model for Visual Recognition. NeurIPS (2022)
Yaodong Yu, Stephen Bates, Yi Ma, Michael I. Jordan
Robust Calibration with Multi-domain Temperature Scaling. NeurIPS (2022)
Xili Dai, Shengbang Tong, Mingyang Li, Ziyang Wu, Michael Psenka, Kwan Ho Ryan Chan, Pengyuan Zhai, Yaodong Yu, Xiaojun Yuan, Heung-Yeung Shum, Yi Ma
CTRL: Closed-Loop Transcription to an LDR via Minimaxing Rate Reduction. Entropy 24 (4) (2022)
Yaodong Yu, Stephen Bates, Yi Ma, Michael I. Jordan
Robust Calibration with Multi-domain Temperature Scaling. CoRR (2022)
Haozhi Qi, Ashish Kumar, Roberto Calandra, Yi Ma, Jitendra Malik
In-Hand Object Rotation via Rapid Motor Adaptation. CoRR (2022)
Qiyang Li, Yuexiang Zhai, Yi Ma, Sergey Levine
Understanding the Complexity Gains of Single-Task RL with a Curriculum. CoRR (2022)
Cheng Yang, Jia Zheng, Xili Dai, Rui Tang, Yi Ma, Xiaojun Yuan
Learning to Reconstruct 3D Non-Cuboid Room Layout from a Single RGB Image. WACV (2022)
Yi Ma, Doris Tsao, Heung-Yeung Shum
On the Principles of Parsimony and Self-Consistency for the Emergence of Intelligence. CoRR (2022)
Haozhi Qi, Ashish Kumar, Roberto Calandra, Yi Ma, Jitendra Malik
In-Hand Object Rotation via Rapid Motor Adaptation. CoRL (2022)
Yi Ma, Doris Tsao, Heung-Yeung Shum
On the principles of Parsimony and Self-consistency for the emergence of intelligence. Frontiers Inf. Technol. Electron. Eng. 23 (9) (2022)
Xili Dai, Mingyang Li, Pengyuan Zhai, Shengbang Tong, Xingjian Gao, Shao-Lun Huang, Zhihui Zhu, Chong You, Yi Ma
Revisiting Sparse Convolutional Model for Visual Recognition. CoRR (2022)
Christina Baek, Ziyang Wu, Kwan Ho Ryan Chan, Tianjiao Ding, Yi Ma, Benjamin D. Haeffele
Efficient Maximal Coding Rate Reduction by Variational Forms. CoRR (2022)
Jiabao Lei, Kui Jia, Yi Ma
Learning and Meshing From Deep Implicit Surface Networks Using an Efficient Implementation of Analytic Marching. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (2022)
Ziyang Wu, Christina Baek, Chong You, Yi Ma
Incremental Learning via Rate Reduction. CVPR (2021)
Haozhi Qi, Xiaolong Wang, Deepak Pathak, Yi Ma, Jitendra Malik
Learning Long-term Visual Dynamics with Region Proposal Interaction Networks. ICLR (2021)
Xili Dai, Shengbang Tong, Mingyang Li, Ziyang Wu, Kwan Ho Ryan Chan, Pengyuan Zhai, Yaodong Yu, Michael Psenka, Xiaojun Yuan, Heung-Yeung Shum, Yi Ma
Closed-Loop Data Transcription to an LDR via Minimaxing Rate Reduction. CoRR (2021)
Yifei Huang, Yaodong Yu, Hongyang Zhang, Yi Ma, Yuan Yao
Adversarial Robustness of Stabilized Neural ODE Might be from Obfuscated Gradients. MSML (2021)
Xili Dai, Xiaojun Yuan, Haigang Gong, Yi Ma
Fully Convolutional Line Parsing. CoRR (2021)
Yichao Zhou, Shichen Liu, Yi Ma
NeRD: Neural 3D Reflection Symmetry Detector. CoRR (2021)
Xiaoqin Zhang, Di Wang, Zhengyuan Zhou, Yi Ma
Robust Low-Rank Tensor Recovery with Rectification and Alignment. IEEE Trans. Pattern Anal. Mach. Intell. 43 (1) (2021)
Yuexiang Zhai, Christina Baek, Zhengyuan Zhou, Jiantao Jiao, Yi Ma
Computational Benefits of Intermediate Rewards for Hierarchical Planning. CoRR (2021)
Cheng Yang, Jia Zheng, Xili Dai, Rui Tang, Yi Ma, Xiaojun Yuan
Learning to Reconstruct 3D Non-Cuboid Room Layout from a Single RGB Image. CoRR (2021)
Yaodong Yu, Zitong Yang, Edgar Dobriban, Jacob Steinhardt, Yi Ma
Understanding Generalization in Adversarial Training via the Bias-Variance Decomposition. CoRR (2021)
Yichao Zhou, Shichen Liu, Yi Ma
NeRD: Neural 3D Reflection Symmetry Detector. CVPR (2021)
Chris Junchi Li, Yaodong Yu, Nicolas Loizou, Gauthier Gidel, Yi Ma, Nicolas Le Roux, Michael I. Jordan
On the Convergence of Stochastic Extragradient for Bilinear Games with Restarted Iteration Averaging. CoRR (2021)
Chaobing Song, Yong Jiang, Yi Ma
Unified Acceleration of High-Order Algorithms under General Hölder Continuity. SIAM J. Optim. 31 (3) (2021)
Jiabao Lei, Kui Jia, Yi Ma
Learning and Meshing from Deep Implicit Surface Networks Using an Efficient Implementation of Analytic Marching. CoRR (2021)
Chaobing Song, Zhengyuan Zhou, Yichao Zhou, Yong Jiang, Yi Ma
Optimistic Dual Extrapolation for Coherent Non-monotone Variational Inequalities. CoRR (2021)
Kwan Ho Ryan Chan, Yaodong Yu, Chong You, Haozhi Qi, John Wright, Yi Ma
ReduNet: A White-box Deep Network from the Principle of Maximizing Rate Reduction. CoRR (2021)
Peiqi Duan, Zihao W. Wang, Xinyu Zhou, Yi Ma, Boxin Shi
EventZoom: Learning To Denoise and Super Resolve Neuromorphic Events. CVPR (2021)
Yichao Zhou, Jingwei Huang, Xili Dai, Linjie Luo, Zhili Chen, Yi Ma
HoliCity: A City-Scale Data Platform for Learning Holistic 3D Structures. CoRR (2020)
Xu Zhou, Rafael Molina, Yi Ma, Tianfu Wang, Dong Ni
Parameter-Free Gaussian PSF Model for Extended Depth of Field in Brightfield Microscopy. IEEE Trans. Image Process. 29 (2020)
Chaobing Song, Yong Jiang, Yi Ma
Stochastic Variance Reduction via Accelerated Dual Averaging for Finite-Sum Optimization. CoRR (2020)
Chong You, Zhihui Zhu, Qing Qu, Yi Ma
Robust Recovery via Implicit Bias of Discrepant Learning Rates for Double Over-parameterization. CoRR (2020)
Yuexiang Zhai, Zitong Yang, Zhenyu Liao, John Wright, Yi Ma
Complete Dictionary Learning via L4-Norm Maximization over the Orthogonal Group. J. Mach. Learn. Res. 21 (2020)
Chong You, Zhihui Zhu, Qing Qu, Yi Ma
Robust Recovery via Implicit Bias of Discrepant Learning Rates for Double Over-parameterization. NeurIPS (2020)
Zitong Yang, Yaodong Yu, Chong You, Jacob Steinhardt, Yi Ma
Rethinking Bias-Variance Trade-off for Generalization of Neural Networks. ICML (2020)
Yaodong Yu, Kwan Ho Ryan Chan, Chong You, Chaobing Song, Yi Ma
Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction. NeurIPS (2020)
Chaobing Song, Zhengyuan Zhou, Yichao Zhou, Yong Jiang, Yi Ma
Optimistic Dual Extrapolation for Coherent Non-monotone Variational Inequalities. NeurIPS (2020)
Yaodong Yu, Kwan Ho Ryan Chan, Chong You, Chaobing Song, Yi Ma
Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction. CoRR (2020)
Haozhi Qi, Chong You, Xiaolong Wang, Yi Ma, Jitendra Malik
Deep Isometric Learning for Visual Recognition. CoRR (2020)
Kun Huang, Yifan Wang, Zihan Zhou, Tianjiao Ding, Shenghua Gao, Yi Ma
Learning to Parse Wireframes in Images of Man-Made Environments. CoRR (2020)
Zitong Yang, Yaodong Yu, Chong You, Jacob Steinhardt, Yi Ma
Rethinking Bias-Variance Trade-off for Generalization of Neural Networks. CoRR (2020)
Yuexiang Zhai, Hermish Mehta, Zhengyuan Zhou, Yi Ma
Understanding l4-based Dictionary Learning: Interpretation, Stability, and Robustness. ICLR (2020)
Yichao Zhou, Shichen Liu, Yi Ma
Learning to Detect 3D Reflection Symmetry for Single-View Reconstruction. CoRR (2020)
Haozhi Qi, Chong You, Xiaolong Wang, Yi Ma, Jitendra Malik
Deep Isometric Learning for Visual Recognition. ICML (2020)
Ziyang Wu, Christina Baek, Chong You, Yi Ma
Incremental Learning via Rate Reduction. CoRR (2020)
Shichang Tang, Xu Zhou, Xuming He, Yi Ma
Disentangled Representation Learning for Controllable Image Synthesis: An Information-Theoretic Perspective. ICPR (2020)
Yifei Huang, Yaodong Yu, Hongyang Zhang, Yi Ma, Yuan Yao
Adversarial Robustness of Stabilized NeuralODEs Might be from Obfuscated Gradients. CoRR (2020)
Haozhi Qi, Xiaolong Wang, Deepak Pathak, Yi Ma, Jitendra Malik
Learning Long-term Visual Dynamics with Region Proposal Interaction Networks. CoRR (2020)
Kwan Ho Ryan Chan, Yaodong Yu, Chong You, Haozhi Qi, John Wright, Yi Ma
Deep Networks from the Principle of Rate Reduction. CoRR (2020)
Chaobing Song, Yi Ma
Towards Unified Acceleration of High-Order Algorithms under Hölder Continuity and Uniform Convexity. CoRR (2019)
Yuexiang Zhai, Zitong Yang, Zhenyu Liao, John Wright, Yi Ma
-Norm Maximization over the Orthogonal Group. CoRR (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yi Ma