Judah Goldfeder

According to our database, Judah Goldfeder authored at least 16 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Exploring Human-AI Conceptual Alignment through the Prism of Chess.

Semyon Lomaso, Judah Goldfeder, Mehmet Hamza Erol, Matthew So, Yao Yan, Addison Howard, J. Nathan Kutz, Ravid Shwartz-Ziv

CoRR, October, 2025

Common Task Framework For a Critical Evaluation of Scientific Machine Learning Algorithms.

Philippe Martin Wyder, Judah Goldfeder, Alexey Yermakov, Yue Zhao, Stefano Riva, Jan P. Williams, David Zoro, Amy Sara Rude, Matteo Tomasetto, Joe Germany, Joseph Bakarji, Georg Maierhofer, Miles D. Cranmer, J. Nathan Kutz

CoRR, October, 2025

Generating Auxiliary Tasks with Reinforcement Learning.

Judah Goldfeder, Matthew So, Hod Lipson

CoRR, October, 2025

Bi-Encoder Contrastive Learning for Fingerprint and Iris Biometrics.

Matthew So, Judah Goldfeder, Mark Lis, Hod Lipson

CoRR, October, 2025

LyTimeT: Towards Robust and Interpretable State-Variable Discovery.

Kuai Yu, Crystal Su, Xiang Liu, Judah Goldfeder, Mingyuan Shao, Hod Lipson

CoRR, October, 2025

Antislop: A Comprehensive Framework for Identifying and Eliminating Repetitive Patterns in Language Models.

Samuel Paech, Allen Roush, Judah Goldfeder, Ravid Shwartz-Ziv

CoRR, October, 2025

Creative synthesis of kinematic mechanisms.

Jiong Lin, Jialong Ning, Judah Goldfeder, Hod Lipson

CoRR, October, 2025

AutoURDF: Unsupervised Robot Modeling from Point Cloud Frames Using Cluster Registration.

Jiong Lin, Lechen Zhang, Kwansoo Lee, Jialong Ning, Judah Goldfeder, Hod Lipson

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

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, Pranav Jhunjhunwala, Siddharth Bhutoria, Evan H. Tong, Yuhang Hu, Judah Goldfeder, Omer Mustel, Donghan Kim, 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

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

Reducing Carbon Emissions at Scale: Interpretable and Efficient to Implement Reinforcement Learning via Policy Extraction.

Judah Goldfeder, John Sipple

Proceedings of the 11th ACM International Conference on Systems for Energy-Efficient Buildings, 2024

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, Simon J. L. Billinge, Hod Lipson

CoRR, 2023

A Lightweight Calibrated Simulation Enabling Efficient Offline Learning for Optimal Control of Real Buildings.

Judah A. Goldfeder, John A. Sipple

Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, 2023

2019

BRE: IN - A Backend for Reasoning About Interaction Networks with Temporal Logic.

Judah Goldfeder, Hillel Kugler

Proceedings of the Computational Methods in Systems Biology, 2019

2018

Temporal Logic Based Synthesis of Experimentally Constrained Interaction Networks.

Judah Goldfeder, Hillel Kugler

Proceedings of the Molecular Logic and Computational Synthetic Biology, 2018