Zobrazeno 1 - 10
of 58 724
pro vyhledávání: '"Kabir, A"'
The minimax risk is often considered as a gold standard against which we can compare specific statistical procedures. Nevertheless, as has been observed recently in robust and heavy-tailed estimation problems, the inherent reduction of the (random) l
Externí odkaz:
http://arxiv.org/abs/2406.13447
This paper presents the development of a prototype Automatic Speech Recognition (ASR) system specifically designed for Bengali biomedical data. Recent advancements in Bengali ASR are encouraging, but a lack of domain-specific data limits the creation
Externí odkaz:
http://arxiv.org/abs/2406.12931
Autor:
Ghosh, Rajes, Chakravarti, Kabir
Recent gravitational wave observations and shadow imaging have demonstrated the astonishing consistency of the Kerr paradigm despite all the special symmetries assumed in deriving the Kerr metric. Hence, it is crucial to test the presence of these sy
Externí odkaz:
http://arxiv.org/abs/2406.02454
Autor:
Ni, Jinjie, Xue, Fuzhao, Yue, Xiang, Deng, Yuntian, Shah, Mahir, Jain, Kabir, Neubig, Graham, You, Yang
Evaluating large language models (LLMs) is challenging. Traditional ground-truth-based benchmarks fail to capture the comprehensiveness and nuance of real-world queries, while LLM-as-judge benchmarks suffer from grading biases and limited query quant
Externí odkaz:
http://arxiv.org/abs/2406.06565
Autor:
Inc, Photonic, Afzal, Francis, Akhlaghi, Mohsen, Beale, Stefanie J., Bedroya, Olinka, Bell, Kristin, Bergeron, Laurent, Bonsma-Fisher, Kent, Bychkova, Polina, Chaisson, Zachary M. E., Chartrand, Camille, Clear, Chloe, Darcie, Adam, DeAbreu, Adam, DeLisle, Colby, Duncan, Lesley A., Smith, Chad Dundas, Dunn, John, Ebrahimi, Amir, Evetts, Nathan, Pinheiro, Daker Fernandes, Fuentes, Patricio, Georgiou, Tristen, Guha, Biswarup, Haenel, Rafael, Higginbottom, Daniel, Jackson, Daniel M., Jahed, Navid, Khorshidahmad, Amin, Shandilya, Prasoon K., Kurkjian, Alexander T. K., Lauk, Nikolai, Lee-Hone, Nicholas R., Lin, Eric, Litynskyy, Rostyslav, Lock, Duncan, Ma, Lisa, MacGilp, Iain, MacQuarrie, Evan R., Mar, Aaron, Khah, Alireza Marefat, Matiash, Alex, Meyer-Scott, Evan, Michaels, Cathryn P., Motira, Juliana, Noori, Narwan Kabir, Ospadov, Egor, Patel, Ekta, Patscheider, Alexander, Paulson, Danny, Petruk, Ariel, Ravindranath, Adarsh L., Reznychenko, Bogdan, Ruether, Myles, Ruscica, Jeremy, Saxena, Kunal, Schaller, Zachary, Seidlitz, Alex, Senger, John, Lee, Youn Seok, Sevoyan, Orbel, Simmons, Stephanie, Soykal, Oney, Stott, Leea, Tran, Quyen, Tserkis, Spyros, Ulhaq, Ata, Vine, Wyatt, Weeks, Russ, Wolfowicz, Gary, Yoneda, Isao
Commercially impactful quantum algorithms such as quantum chemistry and Shor's algorithm require a number of qubits and gates far beyond the capacity of any existing quantum processor. Distributed architectures, which scale horizontally by networking
Externí odkaz:
http://arxiv.org/abs/2406.01704
Autor:
Hossain, Kabir, Tan, Ou, Yeh, Po-Han, Wang, Jie, White, Elizabeth, Choi, Dongseok, Huang, David
Purpose: Reliability for Nerve Fiber Layer Reflectance Using Spectral Domain Optical Coherence Tomography (OCT) Methods: The study utilized OCT to scan participants with a cubic 6x6 mm disc scan. NFL reflectance were normalized by the average of band
Externí odkaz:
http://arxiv.org/abs/2406.00168
Autor:
Chakraborty, Surajit, Ramola, Kabir
We explore the behavior of spatially heterogeneous elastic moduli as well as the correlations between local moduli in model solids with short-range repulsive potentials. We show through numerical simulations that local elastic moduli exhibit long-ran
Externí odkaz:
http://arxiv.org/abs/2405.19908
Autor:
Kumar, Somnath, Balloli, Vaibhav, Ranjit, Mercy, Ahuja, Kabir, Ganu, Tanuja, Sitaram, Sunayana, Bali, Kalika, Nambi, Akshay
Large language models (LLMs) are at the forefront of transforming numerous domains globally. However, their inclusivity and effectiveness remain limited for non-Latin scripts and low-resource languages. This paper tackles the imperative challenge of
Externí odkaz:
http://arxiv.org/abs/2405.18359
Autor:
Dabholkar, Kabir, Barak, Omri
Latent variable models serve as powerful tools to infer underlying dynamics from observed neural activity. However, due to the absence of ground truth data, prediction benchmarks are often employed as proxies. In this study, we reveal the limitations
Externí odkaz:
http://arxiv.org/abs/2405.14425
Autor:
Ravasio, Riccardo, Husain, Kabir, Evans, Constantine G., Phillips, Rob, Ribezzi, Marco, Szostak, Jack W., Murugan, Arvind
Extant life contains numerous non-equilibrium mechanisms to create order not achievable at equilibrium; it is generally assumed that these mechanisms evolved because the resulting order was sufficiently beneficial to overcome associated costs of time
Externí odkaz:
http://arxiv.org/abs/2405.10911