Zobrazeno 1 - 10
of 9 273
pro vyhledávání: '"A, Barkan"'
Autor:
Bøggild, Peter, Booth, Timothy John, Lassaline, Nolan, Jessen, Bjarke Sørensen, Shivayogimath, Abhay, Hofmann, Stephan, Daasbjerg, Kim, Smith, Anders, Nørgaard, Kasper, Zurutuza, Amaia, Asselberghs, Inge, Barkan, Terrance, Taboryski, Rafael, Pollard, Andrew J.
2D materials research has reached significant scientific milestones, accompanied by a rapidly growing industrial sector in the two decades since the field's inception. Such rapid progress requires pushing past the boundary of what is technically and
Externí odkaz:
http://arxiv.org/abs/2409.18994
The spontaneous emission of internal waves (IWs) from balanced mesoscale eddies has been previously proposed to provide a source of oceanic IW kinetic energy (KE). This study examines the mechanisms leading to the spontaneous emission of spiral-shape
Externí odkaz:
http://arxiv.org/abs/2409.10758
Autor:
Barkan, Casey O.
This work explores the manner in which classical phase space distribution functions converge to the microcanonical distribution. We first prove a theorem about the lack of convergence, then define a generalization of the coarse-graining procedure tha
Externí odkaz:
http://arxiv.org/abs/2404.05123
Despite the many advances of Large Language Models (LLMs) and their unprecedented rapid evolution, their impact and integration into every facet of our daily lives is limited due to various reasons. One critical factor hindering their widespread adop
Externí odkaz:
http://arxiv.org/abs/2403.02889
Autor:
Uzrad, Noy, Barkan, Oren, Elharar, Almog, Shvartzman, Shlomi, Laufer, Moshe, Wolf, Lior, Koenigstein, Noam
This paper presents DiffMoog - a differentiable modular synthesizer with a comprehensive set of modules typically found in commercial instruments. Being differentiable, it allows integration into neural networks, enabling automated sound matching, to
Externí odkaz:
http://arxiv.org/abs/2401.12570
We introduce Iterated Integrated Attributions (IIA) - a generic method for explaining the predictions of vision models. IIA employs iterative integration across the input image, the internal representations generated by the model, and their gradients
Externí odkaz:
http://arxiv.org/abs/2310.18585
We present Learning to Explain (LTX), a model-agnostic framework designed for providing post-hoc explanations for vision models. The LTX framework introduces an "explainer" model that generates explanation maps, highlighting the crucial regions that
Externí odkaz:
http://arxiv.org/abs/2310.16584
Autor:
Barkan, Oren, Elisha, Yehonatan, Weill, Jonathan, Asher, Yuval, Eshel, Amit, Koenigstein, Noam
This paper presents Deep Integrated Explanations (DIX) - a universal method for explaining vision models. DIX generates explanation maps by integrating information from the intermediate representations of the model, coupled with their corresponding g
Externí odkaz:
http://arxiv.org/abs/2310.15368
Autor:
Barkan, Casey O., Wang, Shenshen
We explore the connection between migration patterns and emergent behaviors of evolving populations in spatially heterogeneous environments. Despite extensive studies in ecologically and medically important systems, a unifying framework that clarifie
Externí odkaz:
http://arxiv.org/abs/2309.10884
Efficient Discovery and Effective Evaluation of Visual Perceptual Similarity: A Benchmark and Beyond
Autor:
Barkan, Oren, Reiss, Tal, Weill, Jonathan, Katz, Ori, Hirsch, Roy, Malkiel, Itzik, Koenigstein, Noam
Visual similarities discovery (VSD) is an important task with broad e-commerce applications. Given an image of a certain object, the goal of VSD is to retrieve images of different objects with high perceptual visual similarity. Although being a highl
Externí odkaz:
http://arxiv.org/abs/2308.14753