Zobrazeno 1 - 10
of 32 180
pro vyhledávání: '"A, Olmos"'
Traditional implicit generative models are capable of learning highly complex data distributions. However, their training involves distinguishing real data from synthetically generated data using adversarial discriminators, which can lead to unstable
Externí odkaz:
http://arxiv.org/abs/2410.22381
The design of Systems on Chips (SoCs) is becoming more and more complex due to technological advancements. Missed bugs can cause drastic failures in safety-critical environments leading to the endangerment of lives. To overcome these drastic failures
Externí odkaz:
http://arxiv.org/abs/2410.18454
Random feature latent variable models (RFLVMs) represent the state-of-the-art in latent variable models, capable of handling non-Gaussian likelihoods and effectively uncovering patterns in high-dimensional data. However, their heavy reliance on Monte
Externí odkaz:
http://arxiv.org/abs/2410.17700
Registers in IP blocks of an SoC perform a variety of functions, most of which are essential to the SoC operation. The complexity of register implementation is relatively low when compared with other design blocks. However, the extensive number of re
Externí odkaz:
http://arxiv.org/abs/2410.15479
Despite significant advancements in deep probabilistic models, learning low-dimensional discrete latent representations remains a challenging task. In this paper, we introduce a novel method that enhances variational inference in discrete latent vari
Externí odkaz:
http://arxiv.org/abs/2410.07840
Reaction-Diffusion systems arise in diverse areas of science and engineering. Due to the peculiar characteristics of such equations, analytic solutions are usually not available and numerical methods are the main tools for approximating the solutions
Externí odkaz:
http://arxiv.org/abs/2409.08941
Autor:
Radhakrishnan, Prashanth, Chen, Jennifer, Xu, Bo, Ramaswami, Prem, Pho, Hannah, Olmos, Adriana, Manyika, James, Guha, R. V.
Large Language Models (LLMs) are prone to generating factually incorrect information when responding to queries that involve numerical and statistical data or other timely facts. In this paper, we present an approach for enhancing the accuracy of LLM
Externí odkaz:
http://arxiv.org/abs/2409.13741
Autor:
Asadova, Nigar, Achouri, Karim, Arjas, Kristian, Auguié, Baptiste, Aydin, Roland, Baron, Alexandre, Beutel, Dominik, Bodermann, Bernd, Boussaoud, Kaoutar, Burger, Sven, Choi, Minseok, Czajkowski, Krzysztof M., Evlyukhin, Andrey B., Fazel-Najafabadi, Atefeh, Fernandez-Corbaton, Ivan, Garg, Puneet, Globosits, David, Hohenester, Ulrich, Kim, Hongyoon, Kim, Seokwoo, Lalanne, Philippe, Ru, Eric C. Le, Meyer, Jörg, Mun, Jungho, Pattelli, Lorenzo, Pflug, Lukas, Rockstuhl, Carsten, Rho, Junsuk, Rotter, Stefan, Stout, Brian, Törmä, Päivi, Trigo, Jorge Olmos, Tristram, Frank, Tsitsas, Nikolaos L., Vallée, Renaud, Vynck, Kevin, Weiss, Thomas, Wiecha, Peter, Wriedt, Thomas, Yannopapas, Vassilios, Yurkin, Maxim A., Zouros, Grigorios P.
The transition matrix, frequently abbreviated as T-matrix, contains the complete information in a linear approximation of how a spatially localized object scatters an incident field. The T-matrix is used to study the scattering response of an isolate
Externí odkaz:
http://arxiv.org/abs/2408.10727
We study isometric immersions $f: M^n \rightarrow \mathbb{H}^{n+1}$ into hyperbolic space of dimension $n+1$ of a complete Riemannian manifold of dimension $n$ on which a compact connected group of intrinsic isometries acts with principal orbits of c
Externí odkaz:
http://arxiv.org/abs/2408.03802
Autor:
Nairn, Marc, Giannelli, Luigi, Morigi, Giovanna, Slama, Sebastian, Olmos, Beatriz, Jäger, Simon B.
We study the onset of collective spin-self-organization in a thermal ensemble of driven two-level atoms confined in an optical cavity. The atoms spontaneously form a spin-pattern above a critical driving strength that sets a threshold and is determin
Externí odkaz:
http://arxiv.org/abs/2407.19706