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pro vyhledávání: '"Hattab, A"'
Artificial Intelligence is rapidly advancing and radically impacting everyday life, driven by the increasing availability of computing power. Despite this trend, the adoption of AI in real-world healthcare is still limited. One of the main reasons is
Externí odkaz:
http://arxiv.org/abs/2410.18725
Autor:
Hattab, Jarod, Palti, Eran
Integrating out supersymmetric M2 branes wrapped on two-cycles in Calabi-Yau manifolds is an important calculation: it allows the determination of, and in some ways defines, the free energy of topological strings. In these notes, based on a short cou
Externí odkaz:
http://arxiv.org/abs/2410.15809
Autor:
Hattab, Jarod, Palti, Eran
It was recently shown that integrating out M2 states on Calabi-Yau manifolds captures non-perturbative topological string physics in the free energy. In this note, we show that the resulting expression manifests a certain duality symmetry: the free e
Externí odkaz:
http://arxiv.org/abs/2409.01721
Autor:
Hattab, Jarod, Palti, Eran
We show that integrating out M2 branes ending on M5 branes inside Calabi-Yau manifolds captures non-perturbative open topological string physics. The integrating out is performed using a contour integral in complexified Schwinger proper time. For the
Externí odkaz:
http://arxiv.org/abs/2408.12302
Autor:
Hattab, Jarod, Palti, Eran
We show that the full non-perturbative topological string free energy, in the holomorphic limit, follows simply from a target space integrating out calculation of M2 states. Qualitatively, this is the same as the calculation performed by Gopakumar an
Externí odkaz:
http://arxiv.org/abs/2408.09255
The growing AI field faces trust, transparency, fairness, and discrimination challenges. Despite the need for new regulations, there is a mismatch between regulatory science and AI, preventing a consistent framework. A five-layer nested model for AI
Externí odkaz:
http://arxiv.org/abs/2407.16888
Safe control for dynamical systems is critical, yet the presence of unknown dynamics poses significant challenges. In this paper, we present a learning-based control approach for tracking control of a class of high-order systems, operating under the
Externí odkaz:
http://arxiv.org/abs/2405.00822
Autor:
Hattab, Jarod, Palti, Eran
The Emergence Proposal suggests that some Swampland criteria, in particular on large field distances, are a consequence of the emergent nature of dynamics for fields in the infrared. In the context of type II string theory compactified on Calabi-Yau
Externí odkaz:
http://arxiv.org/abs/2404.05176
The goal of anomaly detection is to identify observations that are generated by a distribution that differs from the reference distribution that qualifies normal behavior. When examining a time series, the reference distribution may evolve over time.
Externí odkaz:
http://arxiv.org/abs/2402.03565
Consensus control in multi-agent systems has received significant attention and practical implementation across various domains. However, managing consensus control under unknown dynamics remains a significant challenge for control design due to syst
Externí odkaz:
http://arxiv.org/abs/2402.03174