Judah Goldfeder

Orcid: 0009-0004-3892-7079

According to our database1, Judah Goldfeder authored at least 27 papers between 2018 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Evidence of an Emergent "Self" in Continual Robot Learning.
CoRR, March, 2026

AI Must Embrace Specialization via Superhuman Adaptable Intelligence.
CoRR, February, 2026

Soft Clustering Anchors for Self-Supervised Speech Representation Learning in Joint Embedding Prediction Architectures.
CoRR, February, 2026

Do Multi-Agents Dream of Electric Screens? Achieving Perfect Accuracy on AndroidWorld Through Task Decomposition.
CoRR, February, 2026

Beyond Cropping and Rotation: Automated Evolution of Powerful Task-Specific Augmentations with Generative Models.
CoRR, February, 2026

BESTOpt: A Modular, Physics-Informed Machine Learning based Building Modeling, Control and Optimization Framework.
CoRR, January, 2026

Learning realistic lip motions for humanoid face robots.
Sci. Robotics, 2026

2025
The Seismic Wavefield Common Task Framework.
CoRR, December, 2025

A superpersuasive autonomous policy debating system.
CoRR, November, 2025

Exploring Human-AI Conceptual Alignment through the Prism of Chess.
CoRR, October, 2025

Common Task Framework For a Critical Evaluation of Scientific Machine Learning Algorithms.
CoRR, October, 2025

Generating Auxiliary Tasks with Reinforcement Learning.
CoRR, October, 2025

Bi-Encoder Contrastive Learning for Fingerprint and Iris Biometrics.
CoRR, October, 2025

LyTimeT: Towards Robust and Interpretable State-Variable Discovery.
CoRR, October, 2025

Antislop: A Comprehensive Framework for Identifying and Eliminating Repetitive Patterns in Language Models.
CoRR, October, 2025

Creative synthesis of kinematic mechanisms.
CoRR, October, 2025

DeepCollide: Scalable Data-Driven High DoF Configuration Space Modeling Using Implicit Neural Representations.
Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

Evaluating Performance of Reinforcement Learning Agents to Control Buildings Efficiently.
Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

AutoURDF: Unsupervised Robot Modeling from Point Cloud Frames Using Cluster Registration.
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.
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.
CoRR, 2024

Sequencing the Neurome: Towards Scalable Exact Parameter Reconstruction of Black-Box Neural Networks.
CoRR, 2024

Reducing Carbon Emissions at Scale: Interpretable and Efficient to Implement Reinforcement Learning via Policy Extraction.
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.
CoRR, 2023

A Lightweight Calibrated Simulation Enabling Efficient Offline Learning for Optimal Control of Real Buildings.
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.
Proceedings of the Computational Methods in Systems Biology, 2019

2018
Temporal Logic Based Synthesis of Experimentally Constrained Interaction Networks.
Proceedings of the Molecular Logic and Computational Synthetic Biology, 2018


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