Zobrazeno 51 - 60
of 218 618
pro vyhledávání: '"Sinha, A"'
Autor:
Mukherjee, Mandovi, Mao, Xiangyu, Rahman, Nael, DeLude, Coleman, Driscoll, Joe, Sharma, Sudarshan, Behnam, Payman, Kamal, Uday, Woo, Jongseok, Kim, Daehyun, Khan, Sharjeel, Tong, Jianming, Seo, Jamin, Sinha, Prachi, Swaminathan, Madhavan, Krishna, Tushar, Pande, Santosh, Romberg, Justin, Mukhopadhyay, Saibal
A near memory hardware accelerator, based on a novel direct path computational model, for real-time emulation of radio frequency systems is demonstrated. Our evaluation of hardware performance uses both application-specific integrated circuits (ASIC)
Externí odkaz:
http://arxiv.org/abs/2406.08714
The major Sustainable Development Goals (SDG) 2030, set by the United Nations Development Program (UNDP), include sustainable cities and communities, no poverty, and reduced inequalities. However, millions of people live in slums or informal settleme
Externí odkaz:
http://arxiv.org/abs/2406.08031
Because of their extreme densities and consequently, gravitational potential, compact objects such as neutron stars can prove to be excellent captors of dark matter particles. Considering purely gravitational interactions between dark and hadronic ma
Externí odkaz:
http://arxiv.org/abs/2406.07470
The dual thinking framework considers fast, intuitive processing and slower, logical processing. The perception of dual thinking in vision requires images where inferences from intuitive and logical processing differ. We introduce an adversarial data
Externí odkaz:
http://arxiv.org/abs/2406.06967
Autor:
Valluri, Ravisri, Mohankumar, Akash Kumar, Dave, Kushal, Singh, Amit, Jiao, Jian, Varma, Manik, Sinha, Gaurav
Generative Retrieval introduces a new approach to Information Retrieval by reframing it as a constrained generation task, leveraging recent advancements in Autoregressive (AR) language models. However, AR-based Generative Retrieval methods suffer fro
Externí odkaz:
http://arxiv.org/abs/2406.06739
Autor:
Gajović, L., Adebahr, B., Basu, A., Heesen, V., Brüggen, M., de Gasperin, F., Lara-Lopez, M. A., Oonk, J. B. R., Edler, H. W., Bomans, D. J., Paladino, R., Garduño, L. E., López-Cruz, O., Stein, M., Fritz, J., Piotrowska, J., Sinha, A.
Radio continuum emission from galaxies at gigahertz frequencies can be used as an extinction-free tracer of star formation. However, at frequencies of a few hundred megahertz, there is evidence for low-frequency spectral flattening. We wish to better
Externí odkaz:
http://arxiv.org/abs/2406.06689
Excessive memory requirements of key and value features (KV-cache) present significant challenges in the autoregressive inference of large language models (LLMs), restricting both the speed and length of text generation. Approaches such as Multi-Quer
Externí odkaz:
http://arxiv.org/abs/2406.10247
Deep Reinforcement Learning (DRL) policies are critically vulnerable to adversarial noise in observations, posing severe risks in safety-critical scenarios. For example, a self-driving car receiving manipulated sensory inputs about traffic signs coul
Externí odkaz:
http://arxiv.org/abs/2406.04724
We construct an effective field theory for fusion of conformal defects of any codimension in $d\geq 3$ conformal field theories. We fully solve the constraints of Weyl invariance for defects of arbitrary shape on general curved bulk manifolds and dis
Externí odkaz:
http://arxiv.org/abs/2406.04561
Autor:
Carr, Derrick S., Kannappan, Sheila J., Norris, Mark A., Sinha, Manodeep, Palumbo III, Michael L., Eckert, Kathleen D., Moffett, Amanda J., Polimera, Mugdha S., Bernstein, Joel I., Hutchens, Zackary L.
We present a complete census of candidate nuggets, i.e., dense galaxies likely formed by compaction with intense gas influx, within the volume-limited $z \sim 0$ REsolved Spectroscopy Of a Local VolumE (RESOLVE) survey. These nuggets span all evoluti
Externí odkaz:
http://arxiv.org/abs/2406.04547