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Conference and Workshop Papers
- 2024
[c11]Iifan Tyou, Shigenori Ohashi, Justin Yu, Takayuki Miura, Takuro Hosoi, Kanta Matsuura:
Leveraging Timestamps to Create Secure and Feeless Evidence Management. Blockchain 2024: 131-139- [c10]Alireza Ghaffari, Justin Yu, Mahsa Ghazvini Nejad, Masoud Asgharian, Boxing Chen, Vahid Partovi Nia:
Mitigating Outlier Activations in Low-Precision Fine-Tuning of Language Models. ICPRAM 2024: 478-484 - 2023
- [c9]Murtadha Aldeer
, Yuan Sun, Nandana Pai, Joseph Florentine, Justin Yu, Jorge Ortiz:
Poster Abstract: A Testbed for Context Representation in Physical Spaces. IPSN 2023: 336-337 - [c8]Kai Gao, Justin Yu, Tanay Sandeep Punjabi, Jingjin Yu:
Effectively Rearranging Heterogeneous Objects on Cluttered Tabletops. IROS 2023: 2057-2064 - 2021
- [c7]Tzu-Yuan Lin, Ray Zhang, Justin Yu, Maani Ghaffari:
Legged Robot State Estimation using Invariant Kalman Filtering and Learned Contact Events. CoRL 2021: 1057-1066 - [c6]Tahiya Chowdhury, Murtadha Aldeer, Shantanu Laghate, Justin Yu, Qizhen Ding, Joseph Florentine, Jorge Ortiz:
Poster: Maestro - An Ambient Sensing Platform With Active Learning To Enable Smart Applications. EWSN 2021: 163-164 - [c5]Kevin Li, Abhishek Gupta, Ashwin Reddy, Vitchyr H. Pong, Aurick Zhou, Justin Yu, Sergey Levine:
MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven Reinforcement Learning. ICML 2021: 6346-6356 - [c4]Abhishek Gupta, Justin Yu, Tony Z. Zhao, Vikash Kumar, Aaron Rovinsky, Kelvin Xu, Thomas Devlin, Sergey Levine:
Reset-Free Reinforcement Learning via Multi-Task Learning: Learning Dexterous Manipulation Behaviors without Human Intervention. ICRA 2021: 6664-6671 - [c3]Murtadha Aldeer, Justin Yu, Tahiya Chowdhury, Joseph Florentine, Jakub Kolodziejski, Richard E. Howard, Richard P. Martin, Jorge Ortiz:
A smart agent guided contactless data collection system amid a pandemic. MobiSys 2021: 485-486 - 2020
- [c2]Henry Zhu, Justin Yu, Abhishek Gupta, Dhruv Shah, Kristian Hartikainen, Avi Singh, Vikash Kumar, Sergey Levine:
The Ingredients of Real World Robotic Reinforcement Learning. ICLR 2020 - [c1]Murtadha Aldeer, Joseph Florentine, Justin Yu, Liam Ryan, Zhenzhou Qi, Jakub Kolodziejski, Mike Haberland, Richard E. Howard, Richard P. Martin:
Investigating the biological impacts of radio transmissions: poster abstract. SenSys 2020: 695-696
Informal and Other Publications
- 2024
- [i7]Justin Yu, Kush Hari, Kishore Srinivas, Karim El-Refai, Adam Rashid, Chung Min Kim, Justin Kerr, Richard Cheng, Muhammad Zubair Irshad, Ashwin Balakrishna, Thomas Kollar, Ken Goldberg:
Language-Embedded Gaussian Splats (LEGS): Incrementally Building Room-Scale Representations with a Mobile Robot. CoRR abs/2409.18108 (2024) - 2023
- [i6]Kai Gao, Justin Yu, Tanay Sandeep Punjabi, Jingjin Yu:
Effectively Rearranging Heterogeneous Objects on Cluttered Tabletops. CoRR abs/2306.14240 (2023) - [i5]Alireza Ghaffari, Justin Yu, Mahsa Ghazvini Nejad, Masoud Asgharian, Boxing Chen, Vahid Partovi Nia:
Mitigating Outlier Activations in Low-Precision Fine-Tuning of Language Models. CoRR abs/2312.09211 (2023) - 2021
- [i4]Abhishek Gupta, Justin Yu, Tony Z. Zhao, Vikash Kumar, Aaron Rovinsky, Kelvin Xu, Thomas Devlin, Sergey Levine:
Reset-Free Reinforcement Learning via Multi-Task Learning: Learning Dexterous Manipulation Behaviors without Human Intervention. CoRR abs/2104.11203 (2021) - [i3]Tzu-Yuan Lin, Ray Zhang, Justin Yu, Maani Ghaffari:
Deep Multi-Modal Contact Estimation for Invariant Observer Design on Quadruped Robots. CoRR abs/2106.15713 (2021) - [i2]Kevin Li, Abhishek Gupta, Ashwin Reddy, Vitchyr Pong, Aurick Zhou, Justin Yu, Sergey Levine:
MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven Reinforcement Learning. CoRR abs/2107.07184 (2021) - 2020
- [i1]Henry Zhu, Justin Yu, Abhishek Gupta, Dhruv Shah, Kristian Hartikainen, Avi Singh, Vikash Kumar, Sergey Levine:
The Ingredients of Real-World Robotic Reinforcement Learning. CoRR abs/2004.12570 (2020)
Coauthor Index
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