Zobrazeno 1 - 10
of 41 317
pro vyhledávání: '"Gopalakrishnan, A"'
Publikováno v:
Advances in Neural Networks - ISNN 2019 Proceedings, Part I 16. Lecture Notes in Computer Science(), vol 11554
Among the many variants of RL, an important class of problems is where the state and action spaces are continuous -- autonomous robots, autonomous vehicles, optimal control are all examples of such problems that can lend themselves naturally to reinf
Externí odkaz:
http://arxiv.org/abs/2410.11250
Image-based Joint-Embedding Predictive Architecture (IJEPA) offers an attractive alternative to Masked Autoencoder (MAE) for representation learning using the Masked Image Modeling framework. IJEPA drives representations to capture useful semantic in
Externí odkaz:
http://arxiv.org/abs/2410.10773
We consider the dynamics of generic chaotic quantum many-body systems with no conservation laws, subject to weak bulk dissipation. It was recently observed [T. Mori, arXiv:2311.10304] that the generator of these dissipative dynamics, a quantum channe
Externí odkaz:
http://arxiv.org/abs/2409.17238
Recent advancements in Artificial Intelligence have led to remarkable improvements in generating realistic human faces. While these advancements demonstrate significant progress in generative models, they also raise concerns about the potential misus
Externí odkaz:
http://arxiv.org/abs/2409.15498
A memory consistency model specifies the allowed behaviors of shared memory concurrent programs. At the language level, these models are known to have a non-trivial impact on the safety of program optimizations, limiting the ability to rearrange/refa
Externí odkaz:
http://arxiv.org/abs/2409.12013
Autor:
Meena, Muralikrishnan Gopalakrishnan, Gottiparthi, Kalyana C., Lietz, Justin G., Georgiadou, Antigoni, Pérez, Eduardo Antonio Coello
The development of quantum processors capable of handling practical fluid flow problems represents a distant yet promising frontier. Recent strides in quantum algorithms, particularly linear solvers, have illuminated the path toward quantum solutions
Externí odkaz:
http://arxiv.org/abs/2409.10857
Investigating Li$^+$ transport within the amorphous lithium phosphorous oxynitride (LiPON) framework, especially across a Li||LiPON interface, has proven challenging due to its amorphous nature and varying stoichiometry, necessitating large supercell
Externí odkaz:
http://arxiv.org/abs/2409.06242
Autor:
Vincent, Olivia, Sreekumari, Aparna, Gopalakrishnan, Manoj, Vasisht, Vishwas V, Sarangi, Bibhu Ranjan
We investigate the positional behavior of a single bacterium confined within a vesicle by measuring the probability of locating the bacterium at a certain distance from the vesicle boundary. We observe that the distribution is bi-exponential in natur
Externí odkaz:
http://arxiv.org/abs/2409.03578
We introduce a family of classical stochastic processes describing diffusive particles undergoing branching and long-range annihilation in the presence of a parity constraint. The probability for a pair-annihilation event decays as a power-law in the
Externí odkaz:
http://arxiv.org/abs/2409.03280
Autor:
Beck, Thomas, Baroni, Alessandro, Bennink, Ryan, Buchs, Gilles, Perez, Eduardo Antonio Coello, Eisenbach, Markus, da Silva, Rafael Ferreira, Meena, Muralikrishnan Gopalakrishnan, Gottiparthi, Kalyan, Groszkowski, Peter, Humble, Travis S., Landfield, Ryan, Maheshwari, Ketan, Oral, Sarp, Sandoval, Michael A., Shehata, Amir, Suh, In-Saeng, Zimmer, Christopher
Quantum Computing (QC) offers significant potential to enhance scientific discovery in fields such as quantum chemistry, optimization, and artificial intelligence. Yet QC faces challenges due to the noisy intermediate-scale quantum era's inherent ext
Externí odkaz:
http://arxiv.org/abs/2408.16159