Zobrazeno 1 - 10
of 3 378
pro vyhledávání: '"P．, Gokul"'
Autor:
Radhakrishnan, Gokul, Sundar, Rahul, Parashar, Nishant, Blanchard, Antoine, Wang, Daiwei, Dodov, Boyko
The sparse and spatio-temporally discontinuous nature of precipitation data presents significant challenges for simulation and statistical processing for bias correction and downscaling. These include incorrect representation of intermittency and ext
Externí odkaz:
http://arxiv.org/abs/2412.14620
Autor:
Vasu, Pavan Kumar Anasosalu, Faghri, Fartash, Li, Chun-Liang, Koc, Cem, True, Nate, Antony, Albert, Santhanam, Gokul, Gabriel, James, Grasch, Peter, Tuzel, Oncel, Pouransari, Hadi
Scaling the input image resolution is essential for enhancing the performance of Vision Language Models (VLMs), particularly in text-rich image understanding tasks. However, popular visual encoders such as ViTs become inefficient at high resolutions
Externí odkaz:
http://arxiv.org/abs/2412.13303
Autor:
Viszlai, Joshua, Chadwick, Jason D., Joshi, Sarang, Ravi, Gokul Subramanian, Li, Yanjing, Chong, Frederic T.
Real-time decoding is a key ingredient in future fault-tolerant quantum systems, yet many decoders are too slow to run in real time. Prior work has shown that parallel window decoding schemes can scalably meet throughput requirements in the presence
Externí odkaz:
http://arxiv.org/abs/2412.05115
Autonomous agents operating in adversarial scenarios face a fundamental challenge: while they may know their adversaries' high-level objectives, such as reaching specific destinations within time constraints, the exact policies these adversaries will
Externí odkaz:
http://arxiv.org/abs/2412.02570
Autor:
Li, Shufan, Kallidromitis, Konstantinos, Gokul, Akash, Liao, Zichun, Kato, Yusuke, Kozuka, Kazuki, Grover, Aditya
We introduce OmniFlow, a novel generative model designed for any-to-any generation tasks such as text-to-image, text-to-audio, and audio-to-image synthesis. OmniFlow advances the rectified flow (RF) framework used in text-to-image models to handle th
Externí odkaz:
http://arxiv.org/abs/2412.01169
In Measurement-Device-Independent Quantum Key Distribution (MDI-QKD), key rates are significantly reduced due to dispersion in asymmetric channels. This work addresses this issue by utilizing intensity and phase modulators for dispersion compensation
Externí odkaz:
http://arxiv.org/abs/2411.11005
Autor:
Li, Maggie L., Ho, Anna Y. Q., Ryan, Geoffrey, Perley, Daniel A., Lamb, Gavin P., Nayana, A. J., Andreoni, Igor, Anupama, G. C., Bellm, Eric C., Berger, Edo, Bloom, Joshua S., Burns, Eric, Caiazzo, Ilaria, Chandra, Poonam, Coughlin, Michael W., El-Badry, Kareem, Graham, Matthew J., Kasliwal, Mansi, Keating, Garrett K., Kulkarni, S. R., Kumar, Harsh, Masci, Frank J., Perley, Richard A., Purdum, Josiah, Rao, Ramprasad, Rodriguez, Antonio C., Rusholme, Ben, Sarin, Nikhil, Sollerman, Jesper, Srinivasaragavan, Gokul P., Swain, Vishwajeet, Vanderbosch, Zachary
In the past few years, the improved sensitivity and cadence of wide-field optical surveys have enabled the discovery of several afterglows without associated detected gamma-ray bursts (GRBs). We present the identification, observations, and multiwave
Externí odkaz:
http://arxiv.org/abs/2411.07973
Robots performing navigation tasks in complex environments face significant challenges due to uncertainty in state estimation. Effectively managing this uncertainty is crucial, but the optimal approach varies depending on the specific details of the
Externí odkaz:
http://arxiv.org/abs/2410.15178
Adversarial Imitation Learning is traditionally framed as a two-player zero-sum game between a learner and an adversarially chosen cost function, and can therefore be thought of as the sequential generalization of a Generative Adversarial Network (GA
Externí odkaz:
http://arxiv.org/abs/2410.13855
Autor:
Liang, Wanchao, Liu, Tianyu, Wright, Less, Constable, Will, Gu, Andrew, Huang, Chien-Chin, Zhang, Iris, Feng, Wei, Huang, Howard, Wang, Junjie, Purandare, Sanket, Nadathur, Gokul, Idreos, Stratos
The development of large language models (LLMs) has been instrumental in advancing state-of-the-art natural language processing applications. Training LLMs with billions of parameters and trillions of tokens require sophisticated distributed systems
Externí odkaz:
http://arxiv.org/abs/2410.06511