Zobrazeno 1 - 10
of 17 522
pro vyhledávání: '"A., Raghunathan"'
Autor:
Schiappucci, E., Raghunathan, S., To, C., Bianchini, F., Reichardt, C. L., Battaglia, N., Hadzhiyska, B., Kim, S., Melin, J. B., Sifón, C., Vavagiakis, E. M.
We present a forecast of the pairwise kinematic Sunyaev-Zel'dovich (kSZ) measurement that will be achievable with the future CMB-S4 experiment. CMB-S4 is the next stage for ground-based cosmic microwave background experiments, with a planned wide are
Externí odkaz:
http://arxiv.org/abs/2409.18368
Autor:
Thonti, Beeraiah, Sudarsanan, Sivakumar, Bhavi, Ramesh S., Bhaskaran, Anaswara, Raghunathan, Manikandan, Sujith, R. I.
The emergence of periodic oscillations is observed in various complex systems in nature and engineering. Thermoacoustic oscillations in systems comprising turbulent reactive flow exemplify such complexity in the engineering context, where the emergen
Externí odkaz:
http://arxiv.org/abs/2409.13044
Autor:
Pandey, Ishan, Raghunathan, Varun
Twin Field Quantum key Distribution (TFQKD) has attracted recent interest due to the higher secret key capacity better than the fundamental repeaterless limit and extending the achievable distance. The key generation in TFQKD is based on the post sel
Externí odkaz:
http://arxiv.org/abs/2409.03432
Large Language Models (LLMs) research in the financial domain is particularly complex due to the sheer number of approaches proposed in literature. Retrieval-Augmented Generation (RAG) has emerged as one of the leading methods in the sector due to it
Externí odkaz:
http://arxiv.org/abs/2409.07487
Autor:
Thakuria, Niharika, Malhotra, Akul, Thirumala, Sandeep K., Elangovan, Reena, Raghunathan, Anand, Gupta, Sumeet K.
Ternary Deep Neural Networks (DNN) have shown a large potential for highly energy-constrained systems by virtue of their low power operation (due to ultra-low precision) with only a mild degradation in accuracy. To enable an energy-efficient hardware
Externí odkaz:
http://arxiv.org/abs/2408.13617
Recent advances in the efficiency and robustness of algorithms solving convex quadratically constrained quadratic programming (QCQP) problems motivate developing techniques for creating convex quadratic relaxations that, although more expensive to co
Externí odkaz:
http://arxiv.org/abs/2408.13058
When computing bounds, spatial branch-and-bound algorithms often linearly outer approximate convex relaxations for non-convex expressions in order to capitalize on the efficiency and robustness of linear programming solvers. Considering that linear o
Externí odkaz:
http://arxiv.org/abs/2408.13053
This study examines whether interviewer variances remain consistent across different modes in mixed-mode studies, using data from two distinct designs. In the first design, when interviewers are responsible for either face-to-face or telephone mode,
Externí odkaz:
http://arxiv.org/abs/2408.11874
Autor:
Tandon, Shruti, Balaji, Aswin, Radhakrishnan, Rohit, Raghunathan, Manikandan, Chopra, Gaurav, Sujith, R. I.
We investigate flame-acoustic interactions in a turbulent combustor during the state of intermittency before the onset of thermoacoustic instability using complex networks. Experiments are performed in a turbulent bluff-body stabilized dump combustor
Externí odkaz:
http://arxiv.org/abs/2407.19729
Contact-implicit trajectory optimization (CITO) is an effective method to plan complex trajectories for various contact-rich systems including manipulation and locomotion. CITO formulates a mathematical program with complementarity constraints (MPCC)
Externí odkaz:
http://arxiv.org/abs/2407.16976