Zobrazeno 1 - 10
of 6 747
pro vyhledávání: '"A. P. BALACHANDRAN"'
Publikováno v:
Journal of High Energy Physics, Vol 2023, Iss 10, Pp 1-9 (2023)
Abstract Lorentz symmetry forbids decays of massive spin-1 particle like the Z 0 into two massless photons, a result known as the Landau-Yang theorem. But it is known that infrared effects can break Lorentz invariance. Employing the construction of M
Externí odkaz:
https://doaj.org/article/855aa384d77f40708f4ca84ffa96f925
Existing DeepFake detection techniques primarily focus on facial manipulations, such as face-swapping or lip-syncing. However, advancements in text-to-video (T2V) and image-to-video (I2V) generative models now allow fully AI-generated synthetic conte
Externí odkaz:
http://arxiv.org/abs/2412.12278
Autor:
Paudel, Nawaraj, Tarantini, Chiara, Balachandran, Shreyas, Starch, William L., Lee, Peter J., Larbalestier, David C.
Publikováno v:
Phys. Rev. Mater. 8, 084801 (2024)
Nb3Sn conductors are important candidates for high-field magnets for particle accelerators, and they continue to be widely used for many laboratory and NMR magnets. However, the critical current density, Jc, of present Nb3Sn conductors declines swift
Externí odkaz:
http://arxiv.org/abs/2412.09514
Success in racing requires a unique combination of vehicle setup, understanding of the racetrack, and human expertise. Since building and testing many different vehicle configurations in the real world is prohibitively expensive, high-fidelity simula
Externí odkaz:
http://arxiv.org/abs/2412.03803
Evaluations are limited by benchmark availability. As models evolve, there is a need to create benchmarks that can measure progress on new generative capabilities. However, creating new benchmarks through human annotations is slow and expensive, rest
Externí odkaz:
http://arxiv.org/abs/2410.22584
Autor:
Moayeri, Mazda, Balachandran, Vidhisha, Chandrasekaran, Varun, Yousefi, Safoora, Fel, Thomas, Feizi, Soheil, Nushi, Besmira, Joshi, Neel, Vineet, Vibhav
With models getting stronger, evaluations have grown more complex, testing multiple skills in one benchmark and even in the same instance at once. However, skill-wise performance is obscured when inspecting aggregate accuracy, under-utilizing the ric
Externí odkaz:
http://arxiv.org/abs/2410.13826
The ability to follow instructions is crucial for numerous real-world applications of language models. In pursuit of deeper insights and more powerful capabilities, we derive instruction-specific vector representations from language models and use th
Externí odkaz:
http://arxiv.org/abs/2410.12877
Autor:
Liu, Hongbin, Chen, Youzheng, Narayanan, Arun, Balachandran, Athula, Moreno, Pedro J., Wang, Lun
Recent advances in text-to-speech (TTS) systems, particularly those with voice cloning capabilities, have made voice impersonation readily accessible, raising ethical and legal concerns due to potential misuse for malicious activities like misinforma
Externí odkaz:
http://arxiv.org/abs/2410.06572
Autor:
Khanal, B. D., Balachandran, S., Chetri, S., Barron, M., Mullinix, R., Williams, A., Xu, P., Ingrole, A., Lee, P. J., Ciovati, G., Dhakal, P.
The trapped residual magnetic flux during the cool-down due to the incomplete Meissner state is a significant source of radio frequency losses in superconducting radio frequency (SRF) cavities. Here, we show a clear correlation between the niobium mi
Externí odkaz:
http://arxiv.org/abs/2410.02397
Autor:
Gopinath, Deepak, Cui, Xiongyi, DeCastro, Jonathan, Sumner, Emily, Costa, Jean, Yasuda, Hiroshi, Morgan, Allison, Dees, Laporsha, Chau, Sheryl, Leonard, John, Chen, Tiffany, Rosman, Guy, Balachandran, Avinash
Learning motor skills for sports or performance driving is often done with professional instruction from expert human teachers, whose availability is limited. Our goal is to enable automated teaching via a learned model that interacts with the studen
Externí odkaz:
http://arxiv.org/abs/2410.01608