most citedA General Large Neighborhood Search Framework for Solving Integer Linear Programs

14 citations · 14 across the 4 of their papers we have counts for

collaborators

5 papers

cs.RO2025

Embodied Learning of Reward for Musculoskeletal Control with Vision Language Models

Saraswati Soedarmadji, Yunyue Wei, Chen Zhang +2

Discovering effective reward functions remains a fundamental challenge in motor control of high-dimensional musculoskeletal systems. While humans can describe movement goals explic…

cs.AI2025

EnCompass: Enhancing Agent Programming with Search Over Program Execution Paths

Zhening Li, Armando Solar-Lezama, Yisong Yue +1

We introduce a new approach to agent programming, the development of LLM-based agents. Current approaches to agent programming often entangle two aspects of agent design: the core…

cs.LG2025

Learning Time-Scale Invariant Population-Level Neural Representations

Eshani Patel, Yisong Yue, Geeling Chau

General-purpose foundation models for neural time series can help accelerate neuroscientific discoveries and enable applications such as brain computer interfaces (BCIs). A key com…

cs.LG2025

Escaping Plato's Cave: JAM for Aligning Independently Trained Vision and Language Models

Lauren Hyoseo Yoon, Yisong Yue, Been Kim

Independently trained vision and language models inhabit disjoint representational spaces, shaped by their respective modalities, objectives, and architectures. The Platonic Repres…

math.OC2020★ 14 cited

A General Large Neighborhood Search Framework for Solving Integer Linear Programs

Jialin Song, Ravi Lanka, Yisong Yue +1

This paper studies a strategy for data-driven algorithm design for large-scale combinatorial optimization problems that can leverage existing state-of-the-art solvers in general pu…