Zobrazeno 1 - 10
of 2 290
pro vyhledávání: '"A A Chertkov"'
We propose a new model for multi-token prediction in transformers, aiming to enhance sampling efficiency without compromising accuracy. Motivated by recent work that predicts the probabilities of subsequent tokens using multiple heads, we connect thi
Externí odkaz:
http://arxiv.org/abs/2410.17765
Autor:
Behjoo, Hamidreza, Chertkov, Michael
In this manuscript, we present a novel approach for sampling from a continuous multivariate probability distribution, which may either be explicitly known (up to a normalization factor) or represented via empirical samples. Our method constructs a ti
Externí odkaz:
http://arxiv.org/abs/2409.15166
Autor:
Esmaieeli-Sikaroudi, Amir-Mohammad, Goikhman, Boris, Chubarov, Dmitri, Nguyen, Hung Dinh, Chertkov, Michael, Vorobev, Petr
Energy efficiency of buildings is considered to be one of the major means of achieving the net-zero carbon goal around the world. The big part of the energy savings are supposed to be coming from optimizing the operation of the building heating, vent
Externí odkaz:
http://arxiv.org/abs/2409.11743
Turbulent diffusion causes particles placed in proximity to separate. We investigate the required swimming efforts to maintain an active particle close to its passively advected counterpart. We explore optimally balancing these efforts by developing
Externí odkaz:
http://arxiv.org/abs/2406.10242
Autor:
DeCross, Matthew, Haghshenas, Reza, Liu, Minzhao, Rinaldi, Enrico, Gray, Johnnie, Alexeev, Yuri, Baldwin, Charles H., Bartolotta, John P., Bohn, Matthew, Chertkov, Eli, Cline, Julia, Colina, Jonhas, DelVento, Davide, Dreiling, Joan M., Foltz, Cameron, Gaebler, John P., Gatterman, Thomas M., Gilbreth, Christopher N., Giles, Joshua, Gresh, Dan, Hall, Alex, Hankin, Aaron, Hansen, Azure, Hewitt, Nathan, Hoffman, Ian, Holliman, Craig, Hutson, Ross B., Jacobs, Trent, Johansen, Jacob, Lee, Patricia J., Lehman, Elliot, Lucchetti, Dominic, Lykov, Danylo, Madjarov, Ivaylo S., Mathewson, Brian, Mayer, Karl, Mills, Michael, Niroula, Pradeep, Pino, Juan M., Roman, Conrad, Schecter, Michael, Siegfried, Peter E., Tiemann, Bruce G., Volin, Curtis, Walker, James, Shaydulin, Ruslan, Pistoia, Marco, Moses, Steven. A., Hayes, David, Neyenhuis, Brian, Stutz, Russell P., Foss-Feig, Michael
Empirical evidence for a gap between the computational powers of classical and quantum computers has been provided by experiments that sample the output distributions of two-dimensional quantum circuits. Many attempts to close this gap have utilized
Externí odkaz:
http://arxiv.org/abs/2406.02501
Autor:
Behjoo, Hamidreza, Chertkov, Michael
In this study, we introduce a novel method for generating new synthetic samples that are independent and identically distributed (i.i.d.) from high-dimensional real-valued probability distributions, as defined implicitly by a set of Ground Truth (GT)
Externí odkaz:
http://arxiv.org/abs/2402.08847
We develop a new method HTBB for the multidimensional black-box approximation and gradient-free optimization, which is based on the low-rank hierarchical Tucker decomposition with the use of the MaxVol indices selection procedure. Numerical experimen
Externí odkaz:
http://arxiv.org/abs/2402.02890
Autor:
Liu, Yihan, Chertkov, Michael
We study the Floating Offshore Wind Turbine (FOWT) dynamic response to high wind velocity scenarios utilizing an extensive Markov Chain Monte Carlo simulation involving 10,000 trials of a reduced model from \cite{betti_development_2014} with a blade-
Externí odkaz:
http://arxiv.org/abs/2402.00018
Elements of neural networks, both biological and artificial, can be described by their selectivity for specific cognitive features. Understanding these features is important for understanding the inner workings of neural networks. For a living system
Externí odkaz:
http://arxiv.org/abs/2401.10748
Autor:
Pagnier, Laurent, Hyett, Criston, Ferrando, Robert, Goldshtein, Igal, Alisse, Jean, Saban, Lilah, Chertkov, Michael
Faced with the complexities of managing natural gas-dependent power system amid the surge of renewable integration and load unpredictability, this study explores strategies for navigating emergency transitions to costlier secondary fuels. Our aim is
Externí odkaz:
http://arxiv.org/abs/2311.08686