Yixin Lin

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 24

Top Topics

Intrusion Detection

Reinforcement Learning

Physical Constraints

Top Venues

IEEE Robotics Autom. Lett.

Publications

Lung-Wen Kuo, Yixin Lin, Tsuiyueh Chang, Chih-Chun Lai
Test the configuration and color of 3D model space design with web multimedia interface. Multim. Tools Appl. 83 (11) (2024)
Nicklas Hansen, Yixin Lin, Hao Su, Xiaolong Wang, Vikash Kumar, Aravind Rajeswaran
MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations. ICLR (2023)
Arjun Majumdar, Karmesh Yadav, Sergio Arnaud, Yecheng Jason Ma, Claire Chen, Sneha Silwal, Aryan Jain, Vincent-Pierre Berges, Tingfan Wu, Jay Vakil, Pieter Abbeel, Jitendra Malik, Dhruv Batra, Yixin Lin, Oleksandr Maksymets, Aravind Rajeswaran, Franziska Meier
Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence? NeurIPS (2023)
Arjun Majumdar, Karmesh Yadav, Sergio Arnaud, Yecheng Jason Ma, Claire Chen, Sneha Silwal, Aryan Jain, Vincent-Pierre Berges, Pieter Abbeel, Jitendra Malik, Dhruv Batra, Yixin Lin, Oleksandr Maksymets, Aravind Rajeswaran, Franziska Meier
Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence? CoRR (2023)
Philipp Wu, Arjun Majumdar, Kevin Stone, Yixin Lin, Igor Mordatch, Pieter Abbeel, Aravind Rajeswaran
Masked Trajectory Models for Prediction, Representation, and Control. CoRR (2023)
Philipp Wu, Arjun Majumdar, Kevin Stone, Yixin Lin, Igor Mordatch, Pieter Abbeel, Aravind Rajeswaran
Masked Trajectory Models for Prediction, Representation, and Control. ICML (2023)
Vidhi Jain, Yixin Lin, Eric Undersander, Yonatan Bisk, Akshara Rai
Transformers Are Adaptable Task Planners. CoRL (2022)
Sudeep Dasari, Jianren Wang, Joyce Hong, Shikhar Bahl, Yixin Lin, Austin S. Wang, Abitha Thankaraj, Karanbir Chahal, Berk Çalli, Saurabh Gupta, David Held, Lerrel Pinto, Deepak Pathak, Vikash Kumar, Abhinav Gupta
RB2: Robotic Manipulation Benchmarking with a Twist. CoRR (2022)
Nicklas Hansen, Yixin Lin, Hao Su, Xiaolong Wang, Vikash Kumar, Aravind Rajeswaran
MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations. CoRR (2022)
Vidhi Jain, Yixin Lin, Eric Undersander, Yonatan Bisk, Akshara Rai
Transformers are Adaptable Task Planners. CoRR (2022)
Franziska Meier, Austin S. Wang, Giovanni Sutanto, Yixin Lin, Paarth Shah
Differentiable and Learnable Robot Models. CoRR (2022)
Tanmay Shankar, Yixin Lin, Aravind Rajeswaran, Vikash Kumar, Stuart Anderson, Jean Oh
Translating Robot Skills: Learning Unsupervised Skill Correspondences Across Robots. ICML (2022)
Yixin Lin, Austin S. Wang, Eric Undersander, Akshara Rai
Efficient and Interpretable Robot Manipulation With Graph Neural Networks. IEEE Robotics Autom. Lett. 7 (2) (2022)
Yixin Lin, Austin S. Wang, Akshara Rai
Efficient and Interpretable Robot Manipulation with Graph Neural Networks. CoRR (2021)
Sudeep Dasari, Jianren Wang, Joyce Hong, Shikhar Bahl, Yixin Lin, Austin S. Wang, Abitha Thankaraj, Karanbir Chahal, Berk Çalli, Saurabh Gupta, David Held, Lerrel Pinto, Deepak Pathak, Vikash Kumar, Abhinav Gupta
RB2: Robotic Manipulation Benchmarking with a Twist. NeurIPS Datasets and Benchmarks (2021)
Mu Zhou, Yixin Lin, Nan Zhao, Qing Jiang, Xiaolong Yang, Zengshan Tian
Indoor WLAN Intelligent Target Intrusion Sensing Using Ray-Aided Generative Adversarial Network. IEEE Trans. Emerg. Top. Comput. Intell. 4 (2020)
Kristen Morse, Neha Das, Yixin Lin, Austin S. Wang, Akshara Rai, Franziska Meier
Learning State-Dependent Losses for Inverse Dynamics Learning. IROS (2020)
Giovanni Sutanto, Austin S. Wang, Yixin Lin, Mustafa Mukadam, Gaurav S. Sukhatme, Akshara Rai, Franziska Meier
Encoding Physical Constraints in Differentiable Newton-Euler Algorithm. L4DC (2020)
Giovanni Sutanto, Austin S. Wang, Yixin Lin, Mustafa Mukadam, Gaurav S. Sukhatme, Akshara Rai, Franziska Meier
Encoding Physical Constraints in Differentiable Newton-Euler Algorithm. CoRR (2020)
Kristen Morse, Neha Das, Yixin Lin, Austin S. Wang, Akshara Rai, Franziska Meier
Learning State-Dependent Losses for Inverse Dynamics Learning. CoRR (2020)
Sarah Bechtle, Yixin Lin, Akshara Rai, Ludovic Righetti, Franziska Meier
Curious iLQR: Resolving Uncertainty in Model-based RL. CoRL (2019)
Sarah Bechtle, Akshara Rai, Yixin Lin, Ludovic Righetti, Franziska Meier
Curious iLQR: Resolving Uncertainty in Model-based RL. CoRR (2019)
Yixin Lin, G. R. Liu, Guangyu Wang
A particle-based free surface detection method and its application to the surface tension effects simulation in smoothed particle hydrodynamics (SPH). J. Comput. Phys. 383 (2019)
Yixin Lin, Wei Nie, Mu Zhou, Yong Wang, Zengshan Tian
An Adaptive Passive Radio Map Construction for Indoor WLAN Intrusion Detection. CSPS (2) (2018)