Zobrazeno 1 - 10
of 28 352
pro vyhledávání: '"A Harel"'
We study the overfitting behavior of fully connected deep Neural Networks (NNs) with binary weights fitted to perfectly classify a noisy training set. We consider interpolation using both the smallest NN (having the minimal number of weights) and a r
Externí odkaz:
http://arxiv.org/abs/2410.19092
A new ``Percolation with Clustering'' (PWC) model is introduced, where (the probabilities of) site percolation configurations on the leaf set of a binary tree are rewarded exponentially according to a generic function, which measures the degree of cl
Externí odkaz:
http://arxiv.org/abs/2410.13551
Autor:
Harel, David, Marron, Assaf
We introduce the term Super-Reactive Systems to refer to reactive systems whose construction and behavior are complex, constantly changing and evolving, and heavily interwoven with other systems and the physical world. Finding hidden faults in such s
Externí odkaz:
http://arxiv.org/abs/2410.02627
Let $X$ be the number of $k$-term arithmetic progressions contained in the $p$-biased random subset of the first $N$ positive integers. We give asymptotically sharp estimates on the logarithmic upper-tail probability $\log \Pr(X \ge E[X] + t)$ for al
Externí odkaz:
http://arxiv.org/abs/2409.08383
Autor:
Rahmani, Zahra, Shahini, Nahal, Gat, Nadav, Yun, Zebin, Jiang, Yuzhou, Farchy, Ofir, Harel, Yaniv, Chaudhary, Vipin, Sharif, Mahmood, Ayday, Erman
The data revolution holds significant promise for the health sector. Vast amounts of data collected from individuals will be transformed into knowledge, AI models, predictive systems, and best practices. One area of health that stands to benefit grea
Externí odkaz:
http://arxiv.org/abs/2407.09004
Autor:
Tyagi, Vishweshwar, Murray, Lynda M., Asan, Ahmet S., Mandigo, Christopher, Virk, Michael S., Harel, Noam Y., Carmel, Jason B., McIntosh, James R.
Electromagnetic stimulation probes and modulates the neural systems that control movement. Key to understanding their effects is the muscle recruitment curve, which maps evoked potential size against stimulation intensity. Current methods to estimate
Externí odkaz:
http://arxiv.org/abs/2407.08709
The natural vibrational frequencies of biological particles such as viruses and bacteria encode critical information about their mechanical and biological states as they interact with their local environment and undergo structural evolution. However,
Externí odkaz:
http://arxiv.org/abs/2407.05149
Using language models as a remote service entails sending private information to an untrusted provider. In addition, potential eavesdroppers can intercept the messages, thereby exposing the information. In this work, we explore the prospects of avoid
Externí odkaz:
http://arxiv.org/abs/2407.01334
The complex Ancient Egyptian (AE) writing system was characterised by widespread use of graphemic classifiers (determinatives): silent (unpronounced) hieroglyphic signs clarifying the meaning or indicating the pronunciation of the host word. The stud
Externí odkaz:
http://arxiv.org/abs/2407.00475
Integrating language models into robotic exploration frameworks improves performance in unmapped environments by providing the ability to reason over semantic groundings, contextual cues, and temporal states. The proposed method employs large languag
Externí odkaz:
http://arxiv.org/abs/2406.17180