most citedBreaking the Curse of Dimensionality: Diffusion Models Efficiently Learn Low-Dimensional Distributions

1 citations · 1 across the 7 of their papers we have counts for

collaborators

13 papers

cs.CV2026

PROBE: Manipulation-Grounded Visual Question Answering with VLM Agents

Vineet Bhat, Siyi Chen, Alex Zook +4

Vision-language Models (VLMs) excel at 2D grounding, spatial reasoning and agentic tool-based planning in static scenes. However, consider asking a home robot "Is my medication sti…

cs.LG20261 cited

Breaking the Curse of Dimensionality: Diffusion Models Efficiently Learn Low-Dimensional Distributions

Peng Wang, Huijie Zhang, Zekai Zhang +3

Despite their empirical success across a wide range of generative tasks, the fundamental principles underlying the ability of diffusion models to learn data distributions are poorl…

cs.CV2026

Data-Forcing Distillation: Restoring Diversity and Fidelity in Few-Step Video Generation

Siyi Chen, Shaowei Liu, Yixuan Jia +4

Recent progress has shown promise in distilling multi-step video diffusion models into efficient few-step students. Among them, Distribution Matching Distillation (DMD) and its suc…

cs.RO2026

Vesta: A Generalist Embodied Reasoning Model

Johan Bjorck, Zhiqi Li, Yunze Man +29

Robots operating in open-world environments must seamlessly integrate localization, spatial reasoning, navigation, and long-horizon planning. While specialist models excel at indiv…

cs.MA2026

See What I See, Know What I Think: Dense Latent Communication Across Heterogeneous Agents

Siyi Chen, Xiaoyan Zhang, Meng Wu +7

Multi-agent systems communicate mostly through text, paying a lossy and expensive decode and re-encode cost. KV-cache communication is a promising alternative, yet most prior work…

cs.RO2026

VoLo: A Physical Orchestrator for Open-Vocabulary Long-Horizon Manipulation

Siyi Chen, Hugo Hadfield, Alex Zook +9

Open-vocabulary long-horizon manipulation requires robots to reason over flexible instructions and complex multi-object scenes while adaptively planning, executing, monitoring, and…