Temporal Logic Based Synthesis of Experimentally Constrained Interaction Networks. - Judah Goldfeder; Hillel Kugler (MLCSB, 2018)

BRE: IN - A Backend for Reasoning About Interaction Networks with Temporal Logic. - Judah Goldfeder; Hillel Kugler (CMSB, 2019)

A Lightweight Calibrated Simulation Enabling Efficient Offline Learning for Optimal Control of Real Buildings. - Judah A. Goldfeder; John A. Sipple (BuildSys, 2023)

Towards End-to-End Structure Solutions from Information-Compromised Diffraction Data via Generative Deep Learning. - Gabe Guo; Judah Goldfeder; Ling Lan; Aniv Ray; Albert Hanming Yang; Boyuan Chen 001; Simon J. L. Billinge; Hod Lipson (CoRR, 2023)

Reducing Carbon Emissions at Scale: Interpretable and Efficient to Implement Reinforcement Learning via Policy Extraction. - Judah Goldfeder; John Sipple (BuildSys, 2024)

Sequencing the Neurome: Towards Scalable Exact Parameter Reconstruction of Black-Box Neural Networks. - Judah Goldfeder; Quinten Roets; Gabe Guo; John Wright; Hod Lipson (CoRR, 2024)

Real-World Data and Calibrated Simulation Suite for Offline Training of Reinforcement Learning Agents to Optimize Energy and Emission in Buildings for Environmental Sustainability. - Judah Goldfeder; John Sipple (CoRR, 2024)

Robot Metabolism: Towards machines that can grow by consuming other machines. - Philippe Martin Wyder; Riyaan Bakhda; Meiqi Zhao; Quinn A. Booth; Matthew E. Modi; Andrew Song; Simon Kang; Jiahao Wu; Priya Patel; Robert T. Kasumi; David Yi; Nihar Niraj Garg; et al. (CoRR, 2024)

AutoURDF: Unsupervised Robot Modeling from Point Cloud Frames Using Cluster Registration. - Jiong Lin; Lechen Zhang; Kwansoo Lee; Jialong Ning; Judah Goldfeder; Hod Lipson (CVPR, 2025)