Improving performance of automatic program repair using learned heuristics. - Liam Schramm (ESEC/SIGSOFT FSE, 2017)

Learning to Transfer Dynamic Models of Underactuated Soft Robotic Hands. - Liam Schramm; Avishai Sintov; Abdeslam Boularias (ICRA, 2020)

USHER: Unbiased Sampling for Hindsight Experience Replay. - Liam Schramm; Yunfu Deng; Edgar Granados; Abdeslam Boularias (CoRL, 2022)

Learning-Guided Exploration for Efficient Sampling-Based Motion Planning in High Dimensions. - Liam Schramm; Abdeslam Boularias (ICRA, 2022)

Provably Efficient Long-Horizon Exploration in Monte Carlo Tree Search through State Occupancy Regularization. - Liam Schramm; Abdeslam Boularias (ICML, 2024)

DAP: Diffusion-based Affordance Prediction for Multi-modality Storage. - Haonan Chang; Kowndinya Boyalakuntla; Yuhan Liu; Xinyu Zhang; Liam Schramm; Abdeslam Boularias (IROS, 2024)

Bellman Diffusion Models. - Liam Schramm; Abdeslam Boularias (CoRR, 2024)

Autoregressive Action Sequence Learning for Robotic Manipulation. - Xinyu Zhang; Yuhan Liu; Haonan Chang; Liam Schramm; Abdeslam Boularias (IEEE Robotics Autom. Lett., 2025)