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ORCIDYixin Lin
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2020 – today
- 2024
[j4]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): 33107-33121 (2024)- 2023
- [c10]Nicklas Hansen, Yixin Lin, Hao Su, Xiaolong Wang, Vikash Kumar, Aravind Rajeswaran:
MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations. ICLR 2023 - [c9]Philipp Wu, Arjun Majumdar, Kevin Stone, Yixin Lin, Igor Mordatch, Pieter Abbeel, Aravind Rajeswaran:
Masked Trajectory Models for Prediction, Representation, and Control. ICML 2023: 37607-37623 - [c8]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 - [i10]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 abs/2303.18240 (2023) - [i9]Philipp Wu, Arjun Majumdar, Kevin Stone, Yixin Lin, Igor Mordatch, Pieter Abbeel, Aravind Rajeswaran:
Masked Trajectory Models for Prediction, Representation, and Control. CoRR abs/2305.02968 (2023) - 2022
- [j3]Yixin Lin, Austin S. Wang, Eric Undersander, Akshara Rai:
Efficient and Interpretable Robot Manipulation With Graph Neural Networks. IEEE Robotics Autom. Lett. 7(2): 2740-2747 (2022) - [c7]Vidhi Jain, Yixin Lin, Eric Undersander, Yonatan Bisk, Akshara Rai:
Transformers Are Adaptable Task Planners. CoRL 2022: 1011-1037 - [c6]Tanmay Shankar, Yixin Lin, Aravind Rajeswaran, Vikash Kumar, Stuart Anderson, Jean Oh:
Translating Robot Skills: Learning Unsupervised Skill Correspondences Across Robots. ICML 2022: 19626-19644 - [i8]Franziska Meier, Austin S. Wang, Giovanni Sutanto, Yixin Lin, Paarth Shah:
Differentiable and Learnable Robot Models. CoRR abs/2202.11217 (2022) - [i7]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 abs/2203.08098 (2022) - [i6]Vidhi Jain, Yixin Lin, Eric Undersander, Yonatan Bisk, Akshara Rai:
Transformers are Adaptable Task Planners. CoRR abs/2207.02442 (2022) - [i5]Nicklas Hansen, Yixin Lin, Hao Su, Xiaolong Wang, Vikash Kumar, Aravind Rajeswaran:
MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations. CoRR abs/2212.05698 (2022) - 2021
- [c5]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 - [i4]Yixin Lin, Austin S. Wang, Akshara Rai:
Efficient and Interpretable Robot Manipulation with Graph Neural Networks. CoRR abs/2102.13177 (2021) - 2020
- [j2]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: 61-73 (2020) - [c4]Kristen Morse, Neha Das, Yixin Lin, Austin S. Wang, Akshara Rai, Franziska Meier:
Learning State-Dependent Losses for Inverse Dynamics Learning. IROS 2020: 5261-5268 - [c3]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: 804-813 - [i3]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 abs/2001.08861 (2020) - [i2]Kristen Morse, Neha Das, Yixin Lin, Austin S. Wang, Akshara Rai, Franziska Meier:
Learning State-Dependent Losses for Inverse Dynamics Learning. CoRR abs/2003.04947 (2020)
2010 – 2019
- 2019
- [j1]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: 196-206 (2019) - [c2]Sarah Bechtle, Yixin Lin, Akshara Rai, Ludovic Righetti, Franziska Meier:
Curious iLQR: Resolving Uncertainty in Model-based RL. CoRL 2019: 162-171 - [i1]Sarah Bechtle, Akshara Rai, Yixin Lin, Ludovic Righetti, Franziska Meier:
Curious iLQR: Resolving Uncertainty in Model-based RL. CoRR abs/1904.06786 (2019) - 2018
- [c1]Yixin Lin, Wei Nie, Mu Zhou, Yong Wang, Zengshan Tian:
An Adaptive Passive Radio Map Construction for Indoor WLAN Intrusion Detection. CSPS (2) 2018: 1312-1322
Coauthor Index
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last updated on 2024-07-25 20:24 CEST by the dblp team
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