Mariano Schain

发表

History-Independent Distributed Multi-agent Learning

Amos Fiat, Yishay Mansour, Mariano Schain, 2016, SAGT.

Scalable Learning of Non-Decomposable Objectives

Elad Eban, Gal Elidan, Alan Mackey, 2016, AISTATS.

Thinking ahead: spontaneous next word predictions in context as a keystone of language in humans and machines

Aren Jansen, Kenneth A. Norman, Orrin Devinsky, 2022 .

Correspondence between the layered structure of deep language models and temporal structure of natural language processing in the human brain

Michael P. Brenner, Omer Levy, Avinatan Hassidim, 2023, bioRxiv.

Shared computational principles for language processing in humans and deep language models

Omer Levy, K. Norman, A. Jansen, 2022, Nature Neuroscience.

Brain embeddings with shared geometry to artificial contextual embeddings, as a code for representing language in the human brain

Michael P. Brenner, Avinatan Hassidim, U. Hasson, 2022, bioRxiv.

Correspondence between the layered structure of deep language models and temporal structure of natural language processing in the human brain

Michael P. Brenner, Omer Levy, Avinatan Hassidim, 2023, bioRxiv.

Thinking ahead: spontaneous prediction in context as a keystone of language in humans and machines

Samuel A. Nastase, Michael P. Brenner, K. Norman, 2020, bioRxiv.

Robust domain adaptation

Yishay Mansour, Mariano Schain, Y. Mansour, 2013, Annals of Mathematics and Artificial Intelligence.

Asynchronous Stochastic Optimization Robust to Arbitrary Delays pdf

Amit Daniely, Alon Cohen, Mariano Schain, 2021, NeurIPS.

Deep speech-to-text models capture the neural basis of spontaneous speech in everyday conversations

Michael P. Brenner, Avinatan Hassidim, U. Hasson, 2023, bioRxiv.

Adversarial Robustness of Streaming Algorithms through Importance Sampling pdf

Vladimir Braverman, Yossi Matias, Avinatan Hassidim, 2021, NeurIPS.

Correspondence between the layered structure of deep language models and temporal structure of natural language processing in the human brain

U. Hasson, Patricia Dugan, O. Devinsky, 2022 .

A Model-Free Approach for a TAC-AA Trading Agent

Yishay Mansour, Mariano Schain, Shai Hertz, 2012, AMEC/TADA.

Thinking ahead: prediction in context as a keystone of language in humans and machines

A. Jansen, A. Flinker, Patricia Dugan, 2020 .

Large-scale Learning With Global Non-Decomposable Objectives pdf

Elad Eban, Gal Elidan, Ariel Gordon, 2016, ArXiv.

Learning with Maximum-Entropy Distributions

Yishay Mansour, Mariano Schain, Y. Mansour, 1997, COLT '97.