How to Scale Up Kernel Methods to Be As Good As Deep Neural Nets. - Zhiyun Lu; Avner May; Kuan Liu; Alireza Bagheri Garakani; Dong Guo; Aurélien Bellet; Linxi Fan; Michael Collins 001; Brian Kingsbury; Michael Picheny; Fei Sha (CoRR, 2014)

Deep Speech 2: End-to-End Speech Recognition in English and Mandarin. - Dario Amodei; Rishita Anubhai; Eric Battenberg; Carl Case; Jared Casper; Bryan Catanzaro; Jingdong Chen; Mike Chrzanowski; Adam Coates 002; Greg Diamos; Erich Elsen; Jesse H. Engel; et al. (CoRR, 2015)

A comparison between deep neural nets and kernel acoustic models for speech recognition. - Zhiyun Lu; Dong Guo; Alireza Bagheri Garakani; Kuan Liu; Avner May; Aurélien Bellet; Linxi Fan; Michael Collins 001; Brian Kingsbury; Michael Picheny; Fei Sha (ICASSP, 2016)

Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin. - Dario Amodei; Sundaram Ananthanarayanan; Rishita Anubhai; Jingliang Bai; Eric Battenberg; Carl Case; Jared Casper; Bryan Catanzaro; Jingdong Chen; Mike Chrzanowski; Adam Coates 002; Greg Diamos; et al. (ICML, 2016)

Deconstructing the Ladder Network Architecture. - Mohammad Pezeshki; Linxi Fan; Philemon Brakel; Aaron C. Courville; Yoshua Bengio (ICML, 2016)

World of Bits: An Open-Domain Platform for Web-Based Agents. - Tianlin Shi; Andrej Karpathy; Linxi Fan; Jonathan Hernandez; Percy Liang (ICML, 2017)

Hybrid ontology-learning materials engineering system for pharmaceutical products: Multi-label entity recognition and concept detection. - Miguel Francisco M. Remolona; Matthew F. Conway; Sriram Balasubramanian; Linxi Fan; Ziyan Feng; Tianhao Gu; Hyungtae Kim; Prasad M. Nirantar; Sarah Panda; Nithin R. Ranabothu; Neha Rastogi; Venkat Venkatasubramanian (Comput. Chem. Eng., 2017)

SURREAL: Open-Source Reinforcement Learning Framework and Robot Manipulation Benchmark. - Linxi Fan; Yuke Zhu; Jiren Zhu; Zihua Liu; Orien Zeng; Anchit Gupta; Joan Creus-Costa; Silvio Savarese; Li Fei-Fei 001 (CoRL, 2018)

SURREAL-System: Fully-Integrated Stack for Distributed Deep Reinforcement Learning. - Linxi Fan; Yuke Zhu; Jiren Zhu; Zihua Liu; Orien Zeng; Anchit Gupta; Joan Creus-Costa; Silvio Savarese; Li Fei-Fei 001 (CoRR, 2019)

Kernel Approximation Methods for Speech Recognition. - Avner May; Alireza Bagheri Garakani; Zhiyun Lu; Dong Guo; Kuan Liu; Aurélien Bellet; Linxi Fan; Michael Collins 001; Daniel Hsu 001; Brian Kingsbury; Michael Picheny; Fei Sha (J. Mach. Learn. Res., 2019)

RubiksNet: Learnable 3D-Shift for Efficient Video Action Recognition. - Linxi Fan; Shyamal Buch; Guanzhi Wang; Ryan Cao; Yuke Zhu; Juan Carlos Niebles; Li Fei-Fei 001 (ECCV (19), 2020)

iGibson, a Simulation Environment for Interactive Tasks in Large Realistic Scenes. - Bokui Shen; Fei Xia 002; Chengshu Li 002; Roberto Martín-Martín; Linxi Fan; Guanzhi Wang; Shyamal Buch; Claudia D'Arpino; Sanjana Srivastava; Lyne P. Tchapmi; Micael E. Tchapmi; Kent Vainio; et al. (CoRR, 2020)

SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies. - Linxi Fan; Guanzhi Wang; De-An Huang; Zhiding Yu; Li Fei-Fei 001; Yuke Zhu; Animashree Anandkumar (ICML, 2021)

iGibson 1.0: A Simulation Environment for Interactive Tasks in Large Realistic Scenes. - Bokui Shen; Fei Xia 002; Chengshu Li 002; Roberto Martín-Martín; Linxi Fan; Guanzhi Wang; Claudia Pérez-D'Arpino; Shyamal Buch; Sanjana Srivastava; Lyne Tchapmi; Micael Tchapmi; Kent Vainio; et al. (IROS, 2021)

Training and deploying visual agents at scale. - Linxi Fan (2021)

MetaMorph: Learning Universal Controllers with Transformers. - Agrim Gupta; Linxi Fan; Surya Ganguli; Li Fei-Fei 001 (ICLR, 2022)

MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge. - Linxi Fan; Guanzhi Wang; Yunfan Jiang 001; Ajay Mandlekar; Yuncong Yang; Haoyi Zhu; Andrew Tang; De-An Huang; Yuke Zhu; Anima Anandkumar (NeurIPS, 2022)

Pre-Trained Language Models for Interactive Decision-Making. - Shuang Li 013; Xavier Puig; Chris Paxton 001; Yilun Du; Clinton Wang; Linxi Fan; Tao Chen 046; De-An Huang; Ekin Akyürek; Anima Anandkumar; Jacob Andreas; Igor Mordatch; et al. (NeurIPS, 2022)

VIMA: General Robot Manipulation with Multimodal Prompts. - Yunfan Jiang 001; Agrim Gupta; Zichen Zhang 011; Guanzhi Wang; Yongqiang Dou; Yanjun Chen; Li Fei-Fei 001; Anima Anandkumar; Yuke Zhu; Linxi Fan (CoRR, 2022)

MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations. - Ajay Mandlekar; Soroush Nasiriany; Bowen Wen; Iretiayo Akinola; Yashraj S. Narang; Linxi Fan; Yuke Zhu; Dieter Fox (CoRL, 2023)

MimicPlay: Long-Horizon Imitation Learning by Watching Human Play. - Chen Wang 053; Linxi Fan; Jiankai Sun; Ruohan Zhang; Li Fei-Fei 001; Danfei Xu; Yuke Zhu; Anima Anandkumar (CoRL, 2023)

Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning. - Zhuolin Yang; Wei Ping; Zihan Liu 001; Vijay Korthikanti; Weili Nie; De-An Huang; Linxi Fan; Zhiding Yu; Shiyi Lan; Bo Li 026; Mohammad Shoeybi; Ming-Yu Liu 001; et al. (EMNLP (Findings), 2023)

VIMA: Robot Manipulation with Multimodal Prompts. - Yunfan Jiang 001; Agrim Gupta; Zichen Zhang 011; Guanzhi Wang; Yongqiang Dou; Yanjun Chen; Li Fei-Fei 001; Anima Anandkumar; Yuke Zhu; Linxi Fan (ICML, 2023)

Cross-Episodic Curriculum for Transformer Agents. - Lucy Xiaoyang Shi; Yunfan Jiang 001; Jake Grigsby; Linxi Fan; Yuke Zhu (NeurIPS, 2023)

Prismer: A Vision-Language Model with An Ensemble of Experts. - Shikun Liu; Linxi Fan; Edward Johns; Zhiding Yu; Chaowei Xiao; Anima Anandkumar (CoRR, 2023)

AMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents. - Jake Grigsby; Linxi Fan; Yuke Zhu (ICLR, 2024)

Eureka: Human-Level Reward Design via Coding Large Language Models. - Yecheng Jason Ma; William Liang; Guanzhi Wang; De-An Huang; Osbert Bastani; Dinesh Jayaraman; Yuke Zhu; Linxi Fan; Anima Anandkumar (ICLR, 2024)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. - Abby O'Neill; Abdul Rehman; Abhiram Maddukuri; Abhishek Gupta 004; Abhishek Padalkar; Abraham Lee; Acorn Pooley; Agrim Gupta; Ajay Mandlekar; Ajinkya Jain; Albert Tung; Alex Bewley; et al. (ICRA, 2024)

ARDuP: Active Region Video Diffusion for Universal Policies. - Shuaiyi Huang; Mara Levy; Zhenyu Jiang 002; Anima Anandkumar; Yuke Zhu; Linxi Fan; De-An Huang; Abhinav Shrivastava (IROS, 2024)

DrEureka: Language Model Guided Sim-To-Real Transfer. - Yecheng Jason Ma; William Liang; Hung-Ju Wang; Yuke Zhu; Linxi Fan; Osbert Bastani; Dinesh Jayaraman (Robotics: Science and Systems, 2024)

DrEureka: Language Model Guided Sim-To-Real Transfer. - Yecheng Jason Ma; William Liang; Hung-Ju Wang; Sam Wang; Yuke Zhu; Linxi Fan; Osbert Bastani; Dinesh Jayaraman (CoRR, 2024)

LongVILA: Scaling Long-Context Visual Language Models for Long Videos. - Fuzhao Xue; Yukang Chen; Dacheng Li; Qinghao Hu 004; Ligeng Zhu; Xiuyu Li; Yunhao Fang; Haotian Tang; Shang Yang; Zhijian Liu; Ethan He; Hongxu Yin; et al. (CoRR, 2024)

HOVER: Versatile Neural Whole-Body Controller for Humanoid Robots. - Tairan He; Wenli Xiao; Toru Lin; Zhengyi Luo 002; Zhenjia Xu; Zhenyu Jiang 002; Jan Kautz; Changliu Liu; Guanya Shi; Xiaolong Wang 004; Linxi Fan; Yuke Zhu (CoRR, 2024)

One-Step Diffusion Policy: Fast Visuomotor Policies via Diffusion Distillation. - Zhendong Wang; Zhaoshuo Li; Ajay Mandlekar; Zhenjia Xu; Jiaojiao Fan; Yashraj S. Narang; Linxi Fan; Yuke Zhu; Yogesh Balaji; Mingyuan Zhou; Ming-Yu Liu 001; Yu Zeng 001 (CoRR, 2024)

DexMimicGen: Automated Data Generation for Bimanual Dexterous Manipulation via Imitation Learning. - Zhenyu Jiang 002; Yuqi Xie; Kevin Lin; Zhenjia Xu; Weikang Wan; Ajay Mandlekar; Linxi Fan; Yuke Zhu (CoRR, 2024)

Prismer: A Vision-Language Model with Multi-Task Experts. - Shikun Liu; Linxi Fan; Edward Johns; Zhiding Yu; Chaowei Xiao; Anima Anandkumar (Trans. Mach. Learn. Res., 2024)

Voyager: An Open-Ended Embodied Agent with Large Language Models. - Guanzhi Wang; Yuqi Xie; Yunfan Jiang 001; Ajay Mandlekar; Chaowei Xiao; Yuke Zhu; Linxi Fan; Anima Anandkumar (Trans. Mach. Learn. Res., 2024)

LongVILA: Scaling Long-Context Visual Language Models for Long Videos. - Yukang Chen; Fuzhao Xue; Dacheng Li; Qinghao Hu 004; Ligeng Zhu; Xiuyu Li; Yunhao Fang; Haotian Tang; Shang Yang; Zhijian Liu; Yihui He; Hongxu Yin; et al. (ICLR, 2025)

ASAP: Aligning Simulation and Real-World Physics for Learning Agile Humanoid Whole-Body Skills. - Tairan He; Jiawei Gao; Wenli Xiao; Yuanhang Zhang; Zi Wang; Jiashun Wang; Zhengyi Luo 002; Guanqi He; Nikhil Sobanbab; Chaoyi Pan; Zeji Yi; Guannan Qu; et al. (CoRR, 2025)

QLIP: Text-Aligned Visual Tokenization Unifies Auto-Regressive Multimodal Understanding and Generation. - Yue Zhao 006; Fuzhao Xue; Scott Reed; Linxi Fan; Yuke Zhu; Jan Kautz; Zhiding Yu; Philipp Krähenbühl; De-An Huang (CoRR, 2025)

Sim-to-Real Reinforcement Learning for Vision-Based Dexterous Manipulation on Humanoids. - Toru Lin; Kartik Sachdev; Linxi Fan; Jitendra Malik; Yuke Zhu (CoRR, 2025)

Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation. - Abhiram Maddukuri; Zhenyu Jiang 002; Lawrence Yunliang Chen; Soroush Nasiriany; Yuqi Xie; Yu Fang; Wenqi Huang 005; Zu Wang; Zhenjia Xu; Nikita Chernyadev; Scott Reed; Ken Goldberg; et al. (CoRR, 2025)

Emergent Active Perception and Dexterity of Simulated Humanoids from Visual Reinforcement Learning. - Zhengyi Luo 002; Chen Tessler; Toru Lin; Ye Yuan 007; Tairan He; Wenli Xiao; Yunrong Guo; Gal Chechik; Kris Kitani; Linxi Fan; Yuke Zhu (CoRR, 2025)

DreamGen: Unlocking Generalization in Robot Learning through Neural Trajectories. - Joel Jang; Seonghyeon Ye; Zongyu Lin; Jiannan Xiang; Johan Bjorck; Yu Fang; Fengyuan Hu; Spencer Huang; Kaushil Kundalia; Yen-Chen Lin; Loic Magne; Ajay Mandlekar; et al. (CoRR, 2025)

FLARE: Robot Learning with Implicit World Modeling. - Ruijie Zheng; Jing Wang; Scott Reed; Johan Bjorck; Yu Fang; Fengyuan Hu; Joel Jang; Kaushil Kundalia; Zongyu Lin; Loic Magne; Avnish Narayan; You Liang Tan; et al. (CoRR, 2025)

DexUMI: Using Human Hand as the Universal Manipulation Interface for Dexterous Manipulation. - Mengda Xu; Han Zhang; Yifan Hou; Zhenjia Xu; Linxi Fan; Manuela Veloso; Shuran Song (CoRR, 2025)

SCIZOR: A Self-Supervised Approach to Data Curation for Large-Scale Imitation Learning. - Yu Zhang; Yuqi Xie; Huihan Liu; Rutav Shah; Michael Wan; Linxi Fan; Yuke Zhu (CoRR, 2025)