Publications

Recent publications and ongoing research contributions to artificial intelligence, machine learning, and complex systems.

Recent Publications

"Explainability Techniques for Chemical Language Models"

Stefan Hödl, William Robinson, Yoram Bachrach, Wilhelm Huck, Tal Kachman

arXiv:2305.16192

Advanced techniques for interpreting and explaining decisions made by chemical language models.

"Diffusion models with location-scale noise"

Alexia Jolicoeur-Martineau, Kilian Fatras, Ke Li, Tal Kachman

arXiv:2304.05907

Novel approach to diffusion models incorporating location-scale noise distributions.

"Charting the Topography of the Neural Network Landscape with Thermal-Like Noise"

Theo Jules, Gal Brener, Tal Kachman, Noam Levi, Yohai Bar-Sinai

arXiv:2304.01335 (accepted ICLR)

Exploration of neural network loss landscapes using thermal noise to understand optimization dynamics.

"Safe Reinforcement Learning From Pixels Using a Stochastic Latent Representation"

Yannick Hogewind, Thiago D. Simao, Tal Kachman, Nils Jansen

arXiv:2210.01801 (accepted ICLR)

Safety-focused reinforcement learning approach using stochastic latent representations for pixel-based environments.

"Neural Payoff Machines: Predicting Fair and Stable Payoff Allocations Among Team Members"

Daphne Cornelisse, Thomas Rood, Mateusz Malinowski, Yoram Bachrach, Tal Kachman

arXiv:2208.08798 (accepted NeurIPS)

Machine learning approach to fair resource allocation in team settings using neural network architectures.

"Anomalous diffusion: Fractional Brownian motion vs. Fractional Ito motion"

Iddo Isaac Eliazar, Tal Kachman

Journal of Physics A: Mathematical and Theoretical

Theoretical analysis comparing different models of anomalous diffusion processes.