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20192025
most citedReasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks

20 citations · 64 across the 14 of their papers we have counts for

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Showing cs.LGShow all

5 papers · 1 filter

cs.LG2025

History-Guided Video Diffusion

Kiwhan Song, Boyuan Chen, Max Simchowitz +3

Classifier-free guidance (CFG) is a key technique for improving conditional generation in diffusion models, enabling more accurate control while enhancing sample quality. It is nat…

cs.LG2024★ 3 cited

Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion

Boyuan Chen, Diego Marti Monso, Yilun Du +3

This paper presents Diffusion Forcing, a new training paradigm where a diffusion model is trained to denoise a set of tokens with independent per-token noise levels. We apply Diffu…

cs.LG2023★ 1 cited

Self-Supervised Reinforcement Learning that Transfers using Random Features

Boyuan Chen, Chuning Zhu, Pulkit Agrawal +2

Model-free reinforcement learning algorithms have exhibited great potential in solving single-task sequential decision-making problems with high-dimensional observations and long h…

cs.LG2021★ 1 cited

Unsupervised Learning of Visual 3D Keypoints for Control

Boyuan Chen, Pieter Abbeel, Deepak Pathak

Learning sensorimotor control policies from high-dimensional images crucially relies on the quality of the underlying visual representations. Prior works show that structured laten…

cs.LG2019

Zero-shot Policy Learning with Spatial Temporal RewardDecomposition on Contingency-aware Observation

Huazhe Xu, Boyuan Chen, Yang Gao +1

It is a long-standing challenge to enable an intelligent agent to learn in one environment and generalize to an unseen environment without further data collection and finetuning. I…