Zobrazeno 1 - 10
of 12 586
pro vyhledávání: '"Åman, P."'
Autor:
Rawte, Vipula, Jain, Sarthak, Sinha, Aarush, Kaushik, Garv, Bansal, Aman, Vishwanath, Prathiksha Rumale, Jain, Samyak Rajesh, Reganti, Aishwarya Naresh, Jain, Vinija, Chadha, Aman, Sheth, Amit P., Das, Amitava
Latest developments in Large Multimodal Models (LMMs) have broadened their capabilities to include video understanding. Specifically, Text-to-video (T2V) models have made significant progress in quality, comprehension, and duration, excelling at crea
Externí odkaz:
http://arxiv.org/abs/2411.10867
This paper presents pragmatic solutions for verifying complex mathematical algorithms implemented in hardware in an efficient and effective manner. Maximizing leverage of a known-answer-test strategy, based on predefined data scenarios combined with
Externí odkaz:
http://arxiv.org/abs/2412.04919
Autor:
Shinde, Rajat, Phillips, Christopher E., Ankur, Kumar, Gupta, Aman, Pfreundschuh, Simon, Roy, Sujit, Kirkland, Sheyenne, Gaur, Vishal, Lin, Amy, Sheshadri, Aditi, Nair, Udaysankar, Maskey, Manil, Ramachandran, Rahul
High-quality machine learning (ML)-ready datasets play a foundational role in developing new artificial intelligence (AI) models or fine-tuning existing models for scientific applications such as weather and climate analysis. Unfortunately, despite t
Externí odkaz:
http://arxiv.org/abs/2412.02780
Autor:
Carton, Molly, Kowalewski, Jakub F., Guo, Jiani, Alpert, Jacob F., Garg, Aman, Revier, Daniel, Lipton, Jeffrey Ian
Torque and continuous rotation are fundamental methods of actuation and manipulation in rigid robots. Soft robot arms use soft materials and structures to mimic the passive compliance of biological arms that bend and extend. This use of compliance pr
Externí odkaz:
http://arxiv.org/abs/2412.02650
Publikováno v:
Finance Research Letters, 72, 106413 (2024)
This study employs an event study methodology to investigate the market impact of the U.S. Securities and Exchange Commission's (SEC) classification of crypto assets as securities. It explores how SEC interventions influence asset returns and trading
Externí odkaz:
http://arxiv.org/abs/2412.02452
Autor:
Singh, Namrata, Choudhary, Mahesh, Gandhi, A., Sharma, Aman, Upadhyay, Mahima, Dubey, Punit, Hingu, Akash, Mishra, G., De, Sukanya, Mitra, A., Danu, L. S., Kumar, Ajay, Thomas, R. G., Sood, Saurav, Prasad, Sajin, Kumar, A.
The neutron capture cross-section for the $^{181}$Ta(n,$\gamma$)$^{182}$Ta reaction has been experimentally measured at the neutron energies 0.53 and 1.05 MeV using off-line $\gamma$-ray spectrometry. $^{115}$In(n,n'$\gamma$)$^{115m}$In is used as a
Externí odkaz:
http://arxiv.org/abs/2412.01385
Autor:
Gao, Mingye, Varshney, Aman, Chen, Shan, Goddla, Vikram, Gallifant, Jack, Doyle, Patrick, Novack, Claire, Dillon-Martin, Maeve, Perkins, Teresia, Correia, Xinrong, Duhaime, Erik, Isenstein, Howard, Sharon, Elad, Lehmann, Lisa Soleymani, Kozono, David, Anthony, Brian, Dligach, Dmitriy, Bitterman, Danielle S.
Cancer clinical trials often face challenges in recruitment and engagement due to a lack of participant-facing informational and educational resources. This study investigated the potential of Large Language Models (LLMs), specifically GPT4, in gener
Externí odkaz:
http://arxiv.org/abs/2412.01955
Autor:
Wijesiriwardene, Thilini, Wickramarachchi, Ruwan, Vennam, Sreeram, Jain, Vinija, Chadha, Aman, Das, Amitava, Kumaraguru, Ponnurangam, Sheth, Amit
Making analogies is fundamental to cognition. Proportional analogies, which consist of four terms, are often used to assess linguistic and cognitive abilities. For instance, completing analogies like "Oxygen is to Gas as is to " requir
Externí odkaz:
http://arxiv.org/abs/2412.00869
Autor:
Koditala, Nikhil Kumar, Ju, Chelsea Jui-Ting, Li, Ruirui, Jin, Minho, Chadha, Aman, Stolcke, Andreas
A speaker verification (SV) system offers an authentication service designed to confirm whether a given speech sample originates from a specific speaker. This technology has paved the way for various personalized applications that cater to individual
Externí odkaz:
http://arxiv.org/abs/2412.00319
Ensuring the safety of autonomous vehicles (AVs) requires both accurate estimation of their performance and efficient discovery of potential failure cases. This paper introduces Bayesian adaptive multifidelity sampling (BAMS), which leverages the pow
Externí odkaz:
http://arxiv.org/abs/2411.17826