Zobrazeno 1 - 10
of 2 441
pro vyhledávání: '"Matsoukas, A."'
In multi-view medical diagnosis, deep learning-based models often fuse information from different imaging perspectives to improve diagnostic performance. However, existing approaches are prone to overfitting and rely heavily on view-specific features
Externí odkaz:
http://arxiv.org/abs/2410.15847
We introduce Learning from Offline Foundation Features with Tensor Augmentations (LOFF-TA), an efficient training scheme designed to harness the capabilities of foundation models in limited resource settings where their direct development is not feas
Externí odkaz:
http://arxiv.org/abs/2410.02527
Autor:
Vallejo-Fabila, Isaias, Kumar-Das, Adway, Zarate-Herrada, David A., Matsoukas-Roubeas, Apollonas S., Torres-Herrera, E. Jonathan, Santos, Lea F.
We investigate how the dynamical fluctuations of many-body quantum systems out of equilibrium can be mitigated when they are opened to a dephasing environment. We consider the survival probability (spectral form factor with a filter) evolving under d
Externí odkaz:
http://arxiv.org/abs/2406.14647
Autor:
Nandy, Pratik, Matsoukas-Roubeas, Apollonas S., Martínez-Azcona, Pablo, Dymarsky, Anatoly, del Campo, Adolfo
The dynamics of quantum systems unfolds within a subspace of the state space or operator space, known as the Krylov space. This review presents the use of Krylov subspace methods to provide a compact and computationally efficient description of quant
Externí odkaz:
http://arxiv.org/abs/2405.09628
Autor:
Das, Adway Kumar, Cianci, Cameron, Cabral, Delmar G. A., Zarate-Herrada, David A., Pinney, Patrick, Pilatowsky-Cameo, Saúl, Matsoukas-Roubeas, Apollonas S., Batista, Victor S., del Campo, Adolfo, Torres-Herrera, E. Jonathan, Santos, Lea F.
In this work, the term ``quantum chaos'' refers to spectral correlations similar to those found in the random matrix theory. Quantum chaos can be diagnosed through the analysis of level statistics using e.g.~the spectral form factor, which detects bo
Externí odkaz:
http://arxiv.org/abs/2401.01401
High Content Imaging (HCI) plays a vital role in modern drug discovery and development pipelines, facilitating various stages from hit identification to candidate drug characterization. Applying machine learning models to these datasets can prove cha
Externí odkaz:
http://arxiv.org/abs/2311.12623
Autor:
Huix, Joana Palés, Ganeshan, Adithya Raju, Haslum, Johan Fredin, Söderberg, Magnus, Matsoukas, Christos, Smith, Kevin
The deep learning field is converging towards the use of general foundation models that can be easily adapted for diverse tasks. While this paradigm shift has become common practice within the field of natural language processing, progress has been s
Externí odkaz:
http://arxiv.org/abs/2310.19522
Autor:
Matsoukas, Themis
We formulate a discrete two-state stochastic process with elementary rules that give rise to Born statistics and reproduce the probabilities from the Schr\"odinger equation under an associated Hamiltonian matrix, which we identify. We define the prob
Externí odkaz:
http://arxiv.org/abs/2308.07440
Publikováno v:
Phys. Rev. A 108, 062201 (2023)
The complex Fourier transform of the two-point correlator of the energy spectrum of a quantum system is known as the spectral form factor (SFF). It constitutes an essential diagnostic tool for phases of matter and quantum chaos. In black hole physics
Externí odkaz:
http://arxiv.org/abs/2307.04791
Autor:
Prawal P.K. Agarwal, Themis Matsoukas
Publikováno v:
FirePhysChem, Vol 5, Iss 1, Pp 1-6 (2025)
Boron (B) is desirable for energetic applications due to high gravimetric and volumetric energy densities. However, their use is limited because the native oxide shells on their surfaces limit oxidation and heat release by acting as a diffusion barri
Externí odkaz:
https://doaj.org/article/bbdbe71f84894bf68da8ceeca2ecf1b2
