Zobrazeno 1 - 10
of 3 612
pro vyhledávání: '"P Chitnis"'
Autor:
Godambe, S., Mankuzhiyil, N., Borwankar, C., Ghosal, B., Tolamatti, A., Pal, M., Chandra, P., Khurana, M., Pandey, P., Dar, Z. A., Godiyal, S., Hariharan, J., Anand, Keshav, Norlha, S., Sarkar, D., Thubstan, R., Venugopal, K., Pathania, A., Kotwal, S., Kumar, Raj, Bhatt, N., Chanchalani, K., Das, M., Singh, K. K., Gour, K. K., Kothari, M., Kumar, Nandan, Kumar, Naveen, Marandi, P., Kushwaha, C. P., Koul, M. K., Dorjey, P., Dorji, N., Chitnis, V. R., Rannot, R. C., Bhattacharyya, S., Chouhan, N., Dhar, V. K., Sharma, M., Yadav, K. K.
Publikováno v:
The Astrophysical Journal Letters, Volume 974, Number 2 (2024)
The radio galaxy NGC 1275, located at the central region of Perseus cluster, is a well-known very high-energy (VHE) gamma-ray emitter. The Major Atmospheric Cherenkov Experiment Telescope has detected two distinct episodes of VHE (E > 80 GeV) gamma-r
Externí odkaz:
http://arxiv.org/abs/2411.01823
Given a graph $G=(V,E)$ and a set $T=\{ (s_i, t_i) : 1\leq i\leq k \}\subseteq V\times V$ of $k$ pairs, the $k$-vertex-disjoint-paths (resp. $k$-edge-disjoint-paths) problem asks to determine whether there exist~$k$ pairwise vertex-disjoint (resp. ed
Externí odkaz:
http://arxiv.org/abs/2408.03933
Autor:
Talati, Musa, Lange, Frederic, Airantzis, Dimitrios, Chitnis, Danial, Illukwe, Temisan, Gopal, Darshana, Pinti, Paola, Ranaei-Zamani, Niccole, Kowobari, Olayinka, Hillman, Sara, Siassakos, Dimitrios, David, Anna, Mitra, Subhabrata, Tachtsidis, Ilias
Broadband NIRS (bNIRS) is an extension of fNIRS that provides the same assessment of oxygenation biomarkers along with a valuable marker for oxygen metabolism at a cellular level, the oxidation state of cytochrome-c-oxidase (oxCCO). bNIRS implements
Externí odkaz:
http://arxiv.org/abs/2407.04515
Autor:
Granqvist, Filip, Song, Congzheng, Cahill, Áine, van Dalen, Rogier, Pelikan, Martin, Chan, Yi Sheng, Feng, Xiaojun, Krishnaswami, Natarajan, Jina, Vojta, Chitnis, Mona
Federated learning (FL) is an emerging machine learning (ML) training paradigm where clients own their data and collaborate to train a global model, without revealing any data to the server and other participants. Researchers commonly perform experim
Externí odkaz:
http://arxiv.org/abs/2404.06430
Autor:
C., Borwankar, M., Sharma, J., Hariharan, K., Venugopal, S., Godambe, N., Mankuzhyil, P., Chandra, M., Khurana, A., Pathania, N., Chouhan, K., Dhar V., R., Thubstan, S., Norlha, Keshavananda, D., Sarkar, A., Dar Z., V., Kotwal S., S., Godiyal, P., Kushwaha C., K., Singh K., P., Das M., A., Tolamatti, B., Ghosal, K., Chanchalani, P., Pandey, N., Bhatt, S., Bhattcharyya, S., Sahayanathan, K., Koul M., P., Dorjey, N., Dorji, R., Chitnis V., K., Tickoo A., C., Rannot R., K, Yadav K.
Publikováno v:
Astroparticle Physics 159 (2024) 102960
The Major Atmospheric Cherenkov Experiment (MACE) is a large size (21m) Imaging Atmospheric Cherenkov Telescope (IACT) installed at an altitude of 4270m above sea level at Hanle, Ladakh in northern India. Here we report the detection of Very High Ene
Externí odkaz:
http://arxiv.org/abs/2404.01649
Autocomplete suggestions are fundamental to modern text entry systems, with applications in domains such as messaging and email composition. Typically, autocomplete suggestions are generated from a language model with a confidence threshold. However,
Externí odkaz:
http://arxiv.org/abs/2403.15502
Asynchronous protocols have been shown to improve the scalability of federated learning (FL) with a massive number of clients. Meanwhile, momentum-based methods can achieve the best model quality in synchronous FL. However, naively applying momentum
Externí odkaz:
http://arxiv.org/abs/2402.09247
The hyperspectral pixel unmixing aims to find the underlying materials (endmembers) and their proportions (abundances) in pixels of a hyperspectral image. This work extends the Latent Dirichlet Variational Autoencoder (LDVAE) pixel unmixing scheme by
Externí odkaz:
http://arxiv.org/abs/2311.10701
Autor:
Sikchi, Harshit, Chitnis, Rohan, Touati, Ahmed, Geramifard, Alborz, Zhang, Amy, Niekum, Scott
Offline Goal-Conditioned Reinforcement Learning (GCRL) is tasked with learning to achieve multiple goals in an environment purely from offline datasets using sparse reward functions. Offline GCRL is pivotal for developing generalist agents capable of
Externí odkaz:
http://arxiv.org/abs/2311.02013
Autor:
Evan Madill, Brian C. Healy, Negar Molazadeh, Mariann Polgar‐Turcsanyi, Bonnie I. Glanz, Howard L. Weiner, Tanuja Chitnis
Publikováno v:
Annals of Clinical and Translational Neurology, Vol 11, Iss 10, Pp 2719-2730 (2024)
Abstract Objective Glial fibrillary acidic protein (GFAP) is expressed in astrocytes and may be a useful marker of non‐active progressive multiple sclerosis (MS). We evaluate serum GFAP (sGFAP) in a large cohort of MS patients to determine if it pr
Externí odkaz:
https://doaj.org/article/966a08e2c53e4a22b825ebb28ba94705
