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pro vyhledávání: '"Lerer, A."'
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GPT-4o is an autoregressive omni model that accepts as input any combination of text, audio, image, and video, and generates any combination of text, audio, and image outputs. It's trained end-to-end across text, vision, and audio, meaning all inputs
Externí odkaz:
http://arxiv.org/abs/2410.21276
Autor:
Peysakhovich, Alexander, Lerer, Adam
Current language models often fail to incorporate long contexts efficiently during generation. We show that a major contributor to this issue are attention priors that are likely learned during pre-training: relevant information located earlier in co
Externí odkaz:
http://arxiv.org/abs/2310.01427
We present a deep learning-based iterative approach to solve the discrete heterogeneous Helmholtz equation for high wavenumbers. Combining classical iterative multigrid solvers and convolutional neural networks (CNNs) via preconditioning, we obtain a
Externí odkaz:
http://arxiv.org/abs/2306.17486
Autor:
Bakhtin, Anton, Wu, David J, Lerer, Adam, Gray, Jonathan, Jacob, Athul Paul, Farina, Gabriele, Miller, Alexander H, Brown, Noam
No-press Diplomacy is a complex strategy game involving both cooperation and competition that has served as a benchmark for multi-agent AI research. While self-play reinforcement learning has resulted in numerous successes in purely adversarial games
Externí odkaz:
http://arxiv.org/abs/2210.05492
We consider the problem of making AI agents that collaborate well with humans in partially observable fully cooperative environments given datasets of human behavior. Inspired by piKL, a human-data-regularized search method that improves upon a behav
Externí odkaz:
http://arxiv.org/abs/2210.05125
Publikováno v:
J. Phys. A: Math. Theor. 56 125001(2023)
We study a nonequilibrium mean field Ising model in the low temperature phase regime, where metastable equilibrium states develop a cuspidal (spinodal) singularity. We focus on celebrated Glauber dynamics, and design a contact Hamiltonian flow which
Externí odkaz:
http://arxiv.org/abs/2210.00703
Autor:
Yao, Leon, Lo, Caroline, Nir, Israel, Tan, Sarah, Evnine, Ariel, Lerer, Adam, Peysakhovich, Alex
Learning heterogeneous treatment effects (HTEs) is an important problem across many fields. Most existing methods consider the setting with a single treatment arm and a single outcome metric. However, in many real world domains, experiments are run c
Externí odkaz:
http://arxiv.org/abs/2206.04907
Akademický článek
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Autor:
Elad Lerer, Alexander Botvinnik, Orr Shahar, Meitar Grad, Karin Blakolmer, Noam Shomron, Amit Lotan, Bernard Lerer, Tzuri Lifschytz
Publikováno v:
Frontiers in Pharmacology, Vol 15 (2024)
Background: Immediate early genes (IEGs) are rapidly activated and initiate diverse cellular processes including neuroplasticity. We report the effect of psilocybin (PSIL), PSIL-containing psychedelic mushroom extract (PME) and 5-hydroxytryptophan (5
Externí odkaz:
https://doaj.org/article/f80b566c3d2a4534b4b97023914516a5
We extend the classic regret minimization framework for approximating equilibria in normal-form games by greedily weighing iterates based on regrets observed at runtime. Theoretically, our method retains all previous convergence rate guarantees. Empi
Externí odkaz:
http://arxiv.org/abs/2204.04826