Harris Chan

10 papers · 2020–2025 · 7 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (7) 🏃 Academic Marathon (5) 🐝 Cross-Pollinator (9) 🌈 Renaissance Researcher (5) 🗺️ Taxonomy Completionist (18) 💎 Century Club (10)

Conferences

ICLR (2) ICML (2) NIPS (2) AISTATS (1) CORL (1) EMNLP (1) RSS (1)

Top co-authors

Jimmy Ba (6) Keiran Paster (3) Silviu Pitis (3) Ted Xiao (2) Sergey Levine (2) Jonathan Tompson (2) Karol Hausman (2) Pierre Sermanet (2) Yevgen Chebotar (1) Noah Brown (1)

Keywords

representation learning (1) reinforcement learning (1) stochastic gradient descent (1) sample efficiency (1) semi-supervised learning (1) imitation learning (1) robotic manipulation (1) domain generalization (1) conditional generation (1) embodied ai (1) instruction following (1) robot planning (1) vision-language model (1) behavioral cloning (1) multilingual generation (1) gradient variance (1) factorized representation (1) batch size (1) joint distribution (1) latent prior (1)

Papers

LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations ICML 2025

Large Language Models are Human-Level Prompt Engineers ICLR 2023

STEVE-1: A Generative Model for Text-to-Behavior in Minecraft NIPS 2023

Robotic Skill Acquisition via Instruction Augmentation with Vision-Language Models RSS 2023

Inner Monologue: Embodied Reasoning through Planning with Language Models CORL 2022

Learning Domain Invariant Representations in Goal-conditioned Block MDPs NIPS 2021

An Inductive Bias for Distances: Neural Nets that Respect the Triangle Inequality ICLR 2020

Maximum Entropy Gain Exploration for Long Horizon Multi-goal Reinforcement Learning ICML 2020

Multichannel Generative Language Model: Learning All Possible Factorizations Within and Across Channels EMNLP 2020

An Empirical Study of Stochastic Gradient Descent with Structured Covariance Noise AISTATS 2020