Zobrazeno 1 - 10
of 20 476
pro vyhledávání: '"A., Apoorva"'
Autor:
SORVINO, CHLOE (AUTHOR)
Publikováno v:
Forbes. Feb/Mar2021, Vol. 204 Issue 1, p78-86. 7p. 3 Color Photographs, 1 Graph.
Autor:
De La Garza, Alejandro
Publikováno v:
TIME Magazine. 2021, Vol. 197 Issue 7/8, p72-73. 2p. 1 Color Photograph.
Autor:
Ganesh, J. Sankar
Publikováno v:
Sangeet Galaxy; Jul2024, Vol. 13 Issue 2, p158-164, 7p
Autor:
Hota, Ananda, Dabhade, Pratik, Machado, Prasun, Kumar, Avinash, Avinash, Ck., Manaswini, Ninisha, Das, Joydeep, Sethi, Sagar, Sahoo, Sumanta, Dubal, Shilpa, Bhoga, Sai Arun Dharmik, Navaneeth, P. K., Konar, C., Pal, Sabyasachi, Vaddi, Sravani, Apoorva, Prakash, Rajoria, Megha, Purohit, Arundhati
Understanding the evolution of galaxies cannot exclude the important role played by the central supermassive black hole and the circumgalactic medium (CGM). Simulations have strongly suggested the negative feedback of AGN Jet/wind/outflows on the ISM
Externí odkaz:
http://arxiv.org/abs/2410.10294
Large-scale randomized experiments are seldom analyzed using panel regression methods because of computational challenges arising from the presence of millions of nuisance parameters. We leverage Mundlak's insight that unit intercepts can be eliminat
Externí odkaz:
http://arxiv.org/abs/2410.09952
Foundational models are able to generate text outputs given prompt instructions and text, audio, or image inputs. Recently these models have been combined to perform tasks on video, such as video summarization. Such video foundation models perform pr
Externí odkaz:
http://arxiv.org/abs/2410.07405
Autor:
Chakraborty, Kaustav, Feng, Zeyuan, Veer, Sushant, Sharma, Apoorva, Ivanovic, Boris, Pavone, Marco, Bansal, Somil
The safety-critical nature of autonomous vehicle (AV) operation necessitates development of task-relevant algorithms that can reason about safety at the system level and not just at the component level. To reason about the impact of a perception fail
Externí odkaz:
http://arxiv.org/abs/2409.17630
Multi-Robot Informative Path Planning for Efficient Target Mapping using Deep Reinforcement Learning
Autonomous robots are being employed in several mapping and data collection tasks due to their efficiency and low labor costs. In these tasks, the robots are required to map targets-of-interest in an unknown environment while constrained to a given r
Externí odkaz:
http://arxiv.org/abs/2409.16967
Video Language Models (VLMs) are crucial for generalizing across diverse tasks and using language cues to enhance learning. While transformer-based architectures have been the de facto in vision-language training, they face challenges like quadratic
Externí odkaz:
http://arxiv.org/abs/2409.11513
Autor:
Glicenstein, Antoine, Apoorva, Apoorva, Orenes, Daniel Benedicto, Letellier, Hector, de Melo, Alvaro Mitchell Galvão, Saint-Jalm, Raphaël, Kaiser, Robin
This study introduces a novel method to investigate in-situ light transport within optically thick ensembles of cold atoms, exploiting the internal structure of alkaline-earth metals. A method for creating an optical excitation at the center of a lar
Externí odkaz:
http://arxiv.org/abs/2409.11117