Zobrazeno 1 - 10
of 6 081
pro vyhledávání: '"A Berker"'
Traditional machine learning approaches assume that data comes from a single generating mechanism, which may not hold for most real life data. In these cases, the single mechanism assumption can result in suboptimal performance. We introduce a cluste
Externí odkaz:
http://arxiv.org/abs/2411.06572
Deep learning systems deployed in real-world applications often encounter data that is different from their in-distribution (ID). A reliable system should ideally abstain from making decisions in this out-of-distribution (OOD) setting. Existing state
Externí odkaz:
http://arxiv.org/abs/2410.04525
Autor:
Demirel, Berker, Kong, Lingjing, Zhang, Kun, Karaletsos, Theofanis, Mendler-Dünner, Celestine, Locatello, Francesco
With the widespread deployment of deep learning models, they influence their environment in various ways. The induced distribution shifts can lead to unexpected performance degradation in deployed models. Existing methods to anticipate performativity
Externí odkaz:
http://arxiv.org/abs/2410.04499
Autor:
Berker, Ratip Emin, Conitzer, Vincent
Infinitely repeated games can support cooperative outcomes that are not equilibria in the one-shot game. The idea is to make sure that any gains from deviating will be offset by retaliation in future rounds. However, this model of cooperation fails i
Externí odkaz:
http://arxiv.org/abs/2406.00851
Publikováno v:
Phys. Rev. E 110, 034123 (2024)
A nematic phase, previously seen in the d=3 classical Heisenberg spin-glass system, occurs in the n-component cubic-spin spin-glass system, between the low-temperature spin-glass phase and the high-temperature disordered phase, for number of spin com
Externí odkaz:
http://arxiv.org/abs/2404.11701
Generative AI models for music and the arts in general are increasingly complex and hard to understand. The field of eXplainable AI (XAI) seeks to make complex and opaque AI models such as neural networks more understandable to people. One approach t
Externí odkaz:
http://arxiv.org/abs/2311.08336
Publikováno v:
Physica A 640, 129709 (2024)
A nematic phase, previously seen in the d=3 classical Heisenberg spin-glass system, occurs in the n-component cubic-spin spin-glass system, between the low-temperature spin-glass phase and the high temperature disordered phase, for number of componen
Externí odkaz:
http://arxiv.org/abs/2310.15499
Autor:
Türkoğlu, Alpar, Berker, A. Nihat
The random-magnetic-field classical Heisenberg model is solved in spatial dimensions d>=2 using the recently developed Fourier-Legendre renormalization-group theory for $4\pi$ steradians continuously orientable spins, with renormalization-group flows
Externí odkaz:
http://arxiv.org/abs/2309.05576
A spin-glass system with a smooth or fractal outer surface is studied by renormalization-group theory, in bulk spatial dimension d=3. Independently varying the surface and bulk random-interaction strengths, phase diagrams are calculated. The smooth s
Externí odkaz:
http://arxiv.org/abs/2309.05561
Autor:
Artun, E. Can, Berker, A. Nihat
Publikováno v:
Phys. Rev. E 108, 024116 (2023)
A spin system is studied, with simultaneous permutation-symmetric Potts and spin-rotation-symmetric clock interactions, in spatial dimensions d=2 and 3. The global phase diagram is calculated from the renormalizaton-group solution with the recently i
Externí odkaz:
http://arxiv.org/abs/2309.05543