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pro vyhledávání: '"A. Torroba"'
Autor:
Abate, Nicolás, Torroba, Gonzalo
We prove the irreversibility of the renormalization group for quantum field theory in de Sitter space in $d=2$, $3$ and $4$ space-time dimensions. The proof is based on strong subadditivity of the entanglement entropy, de Sitter invariance, and the M
Externí odkaz:
http://arxiv.org/abs/2411.08961
Autor:
Kiessling, Alexander, Torroba, Ignacio, Sidrane, Chelsea Rose, Stenius, Ivan, Tumova, Jana, Folkesson, John
Informative path planning (IPP) applied to bathymetric mapping allows AUVs to focus on feature-rich areas to quickly reduce uncertainty and increase mapping efficiency. Existing methods based on Bayesian optimization (BO) over Gaussian Process (GP) m
Externí odkaz:
http://arxiv.org/abs/2410.15720
Autor:
Abate, Nicolás, Torroba, Gonzalo
Information-theoretic methods have led to significant advances in nonperturbative quantum field theory in flat space. In this work, we show that these ideas can be generalized to field theories in a fixed de Sitter space. Focusing on 1+1-dimensional
Externí odkaz:
http://arxiv.org/abs/2409.18186
Autor:
Silverstein, Eva, Torroba, Gonzalo
Recent research has leveraged the tractability of $T\bar T$ style deformations to formulate timelike-bounded patches of three-dimensional bulk spacetimes including $dS_3$. This proceeds by breaking the problem into two parts: a solvable theory that c
Externí odkaz:
http://arxiv.org/abs/2409.08709
We propose an algorithm which builds a concrete dual for large-radius 3d de Sitter with a timelike York boundary for both gravity and bulk effective fields. This generalizes the solvable $T\bar T+\Lambda_2$ deformation, whose finite real spectrum acc
Externí odkaz:
http://arxiv.org/abs/2403.01040
Autor:
Du, Li, Amini, Afra, Hennigen, Lucas Torroba, Yu, Xinyan Velocity, Eisner, Jason, Lee, Holden, Cotterell, Ryan
Recent papers have demonstrated the possibility of energy-based text generation by adapting gradient-based sampling algorithms, a paradigm of MCMC algorithms that promises fast convergence. However, as we show in this paper, previous attempts on this
Externí odkaz:
http://arxiv.org/abs/2312.17710
Autor:
Hennigen, Lucas Torroba, Shen, Shannon, Nrusimha, Aniruddha, Gapp, Bernhard, Sontag, David, Kim, Yoon
LLMs are vulnerable to hallucinations, and thus their outputs generally require laborious human verification for high-stakes applications. To this end, we propose symbolically grounded generation (SymGen) as a simple approach for enabling easier manu
Externí odkaz:
http://arxiv.org/abs/2311.09188
Publikováno v:
Journal of High Energy Physics, Vol 2024, Iss 10, Pp 1-41 (2024)
Abstract We propose an algorithm which builds a concrete dual for large-radius 3d de Sitter with a timelike York boundary for both gravity and bulk effective fields. This generalizes the solvable T T ¯ $$ T\overline{T} $$ + Λ2 deformation, whose fi
Externí odkaz:
https://doaj.org/article/70e2c6ac863043849906115c68088793
Two dimensional conformal feld theories have been extensively studied in the past. When considered on the torus, they are strongly constrained by modular invariance. However, introducing relevant deformations or chemical potentials pushes these theor
Externí odkaz:
http://arxiv.org/abs/2309.03302
Many popular feature-attribution methods for interpreting deep neural networks rely on computing the gradients of a model's output with respect to its inputs. While these methods can indicate which input features may be important for the model's pred
Externí odkaz:
http://arxiv.org/abs/2307.03056