Tal Kachman - RankMe

26 papers A* 2A 4Journal 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	David vs. Goliath: Verifiable Agent-to-Agent Jailbreaking via Reinforcement Learning. CoRR Samuel Nellessen, Tal Kachman
2025	A	`conf`	Game of Thoughts: Iterative Reasoning in Game-Theoretic Domains with Large Language Models. AAMAS Benjamin Kempinski, Ian Gemp, Kate Larson, Marc Lanctot, Yoram Bachrach, Tal Kachman
2025	J	`jnl`	Going with the Flow: Approximating Banzhaf Values via Graph Neural Networks. CoRR Benjamin Kempinski, Tal Kachman
2025	J	`jnl`	InfluenceNet: AI Models for Banzhaf and Shapley Value Prediction. CoRR Benjamin Kempinski, Tal Kachman
2025	J	`jnl`	Modeling Chemical Reaction Networks Using Neural Ordinary Differential Equations. J. Chem. Inf. Model. Anna C. M. Thöni, William E. Robinson, Yoram Bachrach, Wilhelm T. S. Huck, Tal Kachman
2025	J	`jnl`	Modelling Chemical Reaction Networks using Neural Ordinary Differential Equations. CoRR Anna C. M. Thöni, William E. Robinson, Yoram Bachrach, Wilhelm T. S. Huck, Tal Kachman
2025	J	`jnl`	Modelling Mean-Field Games with Neural Ordinary Differential Equations. CoRR Anna C. M. Thöni, Yoram Bachrach, Tal Kachman
2024	A	`conf`	Generating and Imputing Tabular Data via Diffusion and Flow-based Gradient-Boosted Trees. AISTATS Alexia Jolicoeur-Martineau, Kilian Fatras, Tal Kachman
2024	A	`conf`	Pruning Neural Networks Using Cooperative Game Theory. AAMAS Mauricio Diaz-Ortiz Jr., Benjamin Kempinski, Daphne Cornelisse, Yoram Bachrach, Tal Kachman
2023	J	`jnl`	Charting the Topography of the Neural Network Landscape with Thermal-Like Noise. CoRR Théo Jules, Gal Brener, Tal Kachman, Noam Itzhak Levi, Yohai Bar-Sinai
2023	J	`jnl`	Diffusion models with location-scale noise. CoRR Alexia Jolicoeur-Martineau, Kilian Fatras, Ke Li, Tal Kachman
2023	J	`jnl`	Explainability Techniques for Chemical Language Models. CoRR Stefan Hödl, William E. Robinson, Yoram Bachrach, Wilhelm T. S. Huck, Tal Kachman
2023	J	`jnl`	Generating and Imputing Tabular Data via Diffusion and Flow-based Gradient-Boosted Trees. CoRR Alexia Jolicoeur-Martineau, Kilian Fatras, Tal Kachman
2023	A*	`conf`	Safe Reinforcement Learning From Pixels Using a Stochastic Latent Representation. ICLR Yannick Hogewind, Thiago D. Simão, Tal Kachman, Nils Jansen
2023	J	`jnl`	Using Cooperative Game Theory to Prune Neural Networks. CoRR Mauricio Diaz-Ortiz Jr., Benjamin Kempinski, Daphne Cornelisse, Yoram Bachrach, Tal Kachman
2022	A	`conf`	Lyapunov Exponents for Diversity in Differentiable Games. AAMAS Jonathan Lorraine, Paul Vicol, Jack Parker-Holder, Tal Kachman, Luke Metz, Jakob N. Foerster
2022	A*	`conf`	Neural Payoff Machines: Predicting Fair and Stable Payoff Allocations Among Team Members. NeurIPS Daphne Cornelisse, Thomas Rood, Yoram Bachrach, Mateusz Malinowski, Tal Kachman
2022	J	`jnl`	Neural Payoff Machines: Predicting Fair and Stable Payoff Allocations Among Team Members. CoRR Daphne Cornelisse, Thomas Rood, Mateusz Malinowski, Yoram Bachrach, Tal Kachman
2022	J	`jnl`	Safe Reinforcement Learning From Pixels Using a Stochastic Latent Representation. CoRR Yannick Hogewind, Thiago D. Simão, Tal Kachman, Nils Jansen
2021	J	`jnl`	Gotta Go Fast When Generating Data with Score-Based Models. CoRR Alexia Jolicoeur-Martineau, Ke Li, Rémi Piché-Taillefer, Tal Kachman, Ioannis Mitliagkas
2021	J	`jnl`	Gradients are Not All You Need. CoRR Luke Metz, C. Daniel Freeman, Samuel S. Schoenholz, Tal Kachman
2021	J	`jnl`	Lyapunov Exponents for Diversity in Differentiable Games. CoRR Jonathan Lorraine, Paul Vicol, Jack Parker-Holder, Tal Kachman, Luke Metz, Jakob N. Foerster
2019	J	`jnl`	Novel Uncertainty Framework for Deep Learning Ensembles. CoRR Tal Kachman, Michal Moshkovitz, Michal Rosen-Zvi
2018	J	`jnl`	Learning multiple non-mutually-exclusive tasks for improved classification of inherently ordered labels. CoRR Vadim Ratner, Yoel Shoshan, Tal Kachman
2017	J	`jnl`	Numerical implementation of the multiscale and averaging methods for quasi periodic systems. Comput. Phys. Commun. Tal Kachman, Shmuel Fishman, Avy Soffer
2014	J	`jnl`	Computer vision-based recognition of liquid surfaces and phase boundaries in transparent vessels, with emphasis on chemistry applications. CoRR Sagi Eppel, Tal Kachman