Zobrazeno 1 - 10
of 250 227
pro vyhledávání: '"Bertrand, OF"'
The effectiveness of Recommender Systems (RS) is closely tied to the quality and distinctiveness of user profiles, yet despite many advancements in raw performance, the sensitivity of RS to user profile quality remains under-researched. This paper in
Externí odkaz:
http://arxiv.org/abs/2410.02453
Autor:
Hamonic, Pierre, Nurizzo, Martin, Nath, Jayshankar, Dartiailh, Matthieu C., El-Homsy, Victor, Fragnol, Mathis, Martinez, Biel, Julliard, Pierre-Louis, Paz, Bruna Cardoso, Ouvrier-Buffet, Mathilde, Filippini, Jean-Baptiste, Bertrand, Benoit, Niebojewski, Heimanu, Bäuerle, Christopher, Vinet, Maud, Balestro, Franck, Meunier, Tristan, Urdampilleta, Matias
Semiconductor quantum dot arrays are a promising platform to perform spin-based error-corrected quantum computation with large numbers of qubits. However, due to the diverging number of possible charge configurations combined with the limited sensiti
Externí odkaz:
http://arxiv.org/abs/2410.02325
We investigate the location of the critical and tricritical points of the three-dimensional Blume-Capel model by analyzing the behavior of the first Lee-Yang zero, the density of partition function zeros, and higher-order cumulants of the magnetizati
Externí odkaz:
http://arxiv.org/abs/2410.01710
We show how to use diagrammatic techniques to compute the weak-coupling perturbation series of the self-consistent solution to a Dynamical Mean Field Theory (DMFT) problem. This approach constitutes an alternative to using diagrammatic techniques dir
Externí odkaz:
http://arxiv.org/abs/2410.00497
We revisit the critical behavior of classical frustrated systems using the nonperturbative renormalization group (NPRG) equation. Our study is performed within the local potential approximation of this equation to which is added the flow of the field
Externí odkaz:
http://arxiv.org/abs/2409.17897
We show that the $n$-point, genus-$g$ correlation functions of topological recursion on any regular spectral curve with simple ramifications grow at most like $(2g - 2 + n)!$ as $g \rightarrow \infty$, which is the expected growth rate. This provides
Externí odkaz:
http://arxiv.org/abs/2409.17838
Autor:
Popov, Alexander, Degirmenci, Alperen, Wehr, David, Hegde, Shashank, Oldja, Ryan, Kamenev, Alexey, Douillard, Bertrand, Nistér, David, Muller, Urs, Bhargava, Ruchi, Birchfield, Stan, Smolyanskiy, Nikolai
We propose the use of latent space generative world models to address the covariate shift problem in autonomous driving. A world model is a neural network capable of predicting an agent's next state given past states and actions. By leveraging a worl
Externí odkaz:
http://arxiv.org/abs/2409.16663
Autor:
Gabbrielli, Tecla, Pelini, Jacopo, Marschick, Georg, Consolino, Luigi, La Penna, Irene, Faist, Jérôme, Bertrand, Mathieu, Kapsalidis, Filippos, Weih, Robert, Höfling, Sven, Akikusa, Naota, Hinkov, Borislav, De Natale, Paolo, Cappelli, Francesco, Borri, Simone
The intensity noise of a laser source represents one of the key factors limiting the ultimate sensitivity in laser-based systems for sensing and telecommunication. For advanced applications based on interferometry, the availability of a shot-noise-li
Externí odkaz:
http://arxiv.org/abs/2409.12732
Selective attention enables humans to efficiently process visual stimuli by enhancing important locations or objects and filtering out irrelevant information. Locating visual attention is a fundamental problem in neuroscience with potential applicati
Externí odkaz:
http://arxiv.org/abs/2409.12562
Flocking is a prime example of how robust collective behavior can emerge from simple interaction rules. The flocking transition has been studied extensively since the inception of the original Vicsek model. Here, we introduce a novel self-propelled p
Externí odkaz:
http://arxiv.org/abs/2409.10768