Zobrazeno 1 - 10
of 36 678
pro vyhledávání: '"Koren, A"'
Autor:
Koren, Michal, Peretz, Or
Quantum computing is revolutionizing various fields, including operations research and queueing theory. This study presents a quantum method for simulating single-server Markovian (M/M/1) queues, making quantum computing more accessible to researcher
Externí odkaz:
http://arxiv.org/abs/2410.08252
This work addresses the challenge of quantifying originality in text-to-image (T2I) generative diffusion models, with a focus on copyright originality. We begin by evaluating T2I models' ability to innovate and generalize through controlled experimen
Externí odkaz:
http://arxiv.org/abs/2408.08184
We consider the problem of asynchronous stochastic optimization, where an optimization algorithm makes updates based on stale stochastic gradients of the objective that are subject to an arbitrary (possibly adversarial) sequence of delays. We present
Externí odkaz:
http://arxiv.org/abs/2408.07503
Analyzing time-series data that contains personal information, particularly in the medical field, presents serious privacy concerns. Sensitive health data from patients is often used to train machine learning models for diagnostics and ongoing care.
Externí odkaz:
http://arxiv.org/abs/2407.02870
Brownian motors are nanoscale machines that utilize asymmetric physical interactions to generate directed motion in space. The operation mechanism relies on the random motion of nanoscale elements generated by thermal activation. On the other hand, s
Externí odkaz:
http://arxiv.org/abs/2407.01324
Autor:
Koren, Seth, Martin, Adam
The observed Standard Model is consistent with the existence of vector-like species with electric charge a multiple of $e/6$. The discovery of a fractionally charged particle would provide nonperturbative information about Standard Model physics, and
Externí odkaz:
http://arxiv.org/abs/2406.17850
We study multiclass PAC learning with bandit feedback, where inputs are classified into one of $K$ possible labels and feedback is limited to whether or not the predicted labels are correct. Our main contribution is in designing a novel learning algo
Externí odkaz:
http://arxiv.org/abs/2406.12406
Autor:
Wareing, Thomas, Stokes, Alexander, Crompton, Katrina, Murphy, Koren, Dawson, Jack, Ugurluoglu, Yusuf Furkan, Richardson, Connor, Li, Hongquan, Prakash, Manu, Wollman, Adam J. M.
With the European Space Agency (ESA) and NASA working to return humans to the moon and onwards to Mars, it has never been more important to study the impact of altered gravity conditions on biological organisms. These include astronauts but also usef
Externí odkaz:
http://arxiv.org/abs/2406.09902
We study the problem of private online learning, specifically, online prediction from experts (OPE) and online convex optimization (OCO). We propose a new transformation that transforms lazy online learning algorithms into private algorithms. We appl
Externí odkaz:
http://arxiv.org/abs/2406.03620
This study employs a high-resolution (10m) System for Atmospheric Modeling (SAM) coupled with the Spectral Bin Microphysical (SBM) scheme to thoroughly investigate the processes governing the evolution of aerosol properties within and outside a shall
Externí odkaz:
http://arxiv.org/abs/2405.17023