Search Results for author: Jimmy Wu

Found 13 papers, 8 papers with code

Chronologically Consistent Large Language Models

no code implementations28 Feb 2025 Songrun He, Linying Lv, Asaf Manela, Jimmy Wu

Large language models are increasingly used in social sciences, but their training data can introduce lookahead bias and training leakage.

Language Modeling Language Modelling

TidyBot++: An Open-Source Holonomic Mobile Manipulator for Robot Learning

no code implementations11 Dec 2024 Jimmy Wu, William Chong, Robert Holmberg, Aaditya Prasad, Yihuai Gao, Oussama Khatib, Shuran Song, Szymon Rusinkiewicz, Jeannette Bohg

In our experiments, we use this interface to collect data and show that the resulting learned policies can successfully perform a variety of common household mobile manipulation tasks.

Imitation Learning

Consistency Policy: Accelerated Visuomotor Policies via Consistency Distillation

no code implementations13 May 2024 Aaditya Prasad, Kevin Lin, Jimmy Wu, Linqi Zhou, Jeannette Bohg

Many robotic systems, such as mobile manipulators or quadrotors, cannot be equipped with high-end GPUs due to space, weight, and power constraints.

TidyBot: Personalized Robot Assistance with Large Language Models

1 code implementation9 May 2023 Jimmy Wu, Rika Antonova, Adam Kan, Marion Lepert, Andy Zeng, Shuran Song, Jeannette Bohg, Szymon Rusinkiewicz, Thomas Funkhouser

For a robot to personalize physical assistance effectively, it must learn user preferences that can be generally reapplied to future scenarios.

Metric-Fair Classifier Derandomization

no code implementations15 Jun 2022 Jimmy Wu, Yatong Chen, Yang Liu

We study the problem of classifier derandomization in machine learning: given a stochastic binary classifier $f: X \to [0, 1]$, sample a deterministic classifier $\hat{f}: X \to \{0, 1\}$ that approximates the output of $f$ in aggregate over any data distribution.

Fairness

Learning Pneumatic Non-Prehensile Manipulation with a Mobile Blower

1 code implementation5 Apr 2022 Jimmy Wu, Xingyuan Sun, Andy Zeng, Shuran Song, Szymon Rusinkiewicz, Thomas Funkhouser

We investigate pneumatic non-prehensile manipulation (i. e., blowing) as a means of efficiently moving scattered objects into a target receptacle.

Deep Reinforcement Learning

Spatial Intention Maps for Multi-Agent Mobile Manipulation

1 code implementation23 Mar 2021 Jimmy Wu, Xingyuan Sun, Andy Zeng, Shuran Song, Szymon Rusinkiewicz, Thomas Funkhouser

The ability to communicate intention enables decentralized multi-agent robots to collaborate while performing physical tasks.

Deep Reinforcement Learning

Spatial Action Maps for Mobile Manipulation

1 code implementation20 Apr 2020 Jimmy Wu, Xingyuan Sun, Andy Zeng, Shuran Song, Johnny Lee, Szymon Rusinkiewicz, Thomas Funkhouser

Typical end-to-end formulations for learning robotic navigation involve predicting a small set of steering command actions (e. g., step forward, turn left, turn right, etc.)

Q-Learning Value prediction

DeepMiner: Discovering Interpretable Representations for Mammogram Classification and Explanation

1 code implementation31 May 2018 Jimmy Wu, Bolei Zhou, Diondra Peck, Scott Hsieh, Vandana Dialani, Lester Mackey, Genevieve Patterson

We propose DeepMiner, a framework to discover interpretable representations in deep neural networks and to build explanations for medical predictions.

Classification General Classification +1

SegICP: Integrated Deep Semantic Segmentation and Pose Estimation

2 code implementations5 Mar 2017 Jay M. Wong, Vincent Kee, Tiffany Le, Syler Wagner, Gian-Luca Mariottini, Abraham Schneider, Lei Hamilton, Rahul Chipalkatty, Mitchell Hebert, David M. S. Johnson, Jimmy Wu, Bolei Zhou, Antonio Torralba

Recent robotic manipulation competitions have highlighted that sophisticated robots still struggle to achieve fast and reliable perception of task-relevant objects in complex, realistic scenarios.

Object Recognition Point Cloud Registration +3

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