Zobrazeno 1 - 10
of 266 623
pro vyhledávání: '"Srivastava, ON"'
Autor:
Meiler, Tim, Wang, Yutao, Srivastava, Saurabh, Adamo, Giorgio, Paniagua-Dominguez, Ramón, Kuznetsov, Arseniy, Soci, Cesare
Perovskites have recently brought significant advances to active nanophotonics, offering a unique combination of gain and phase-change properties for tunable light-emitting devices. However, current wavelength-tunable devices often rely on tuning mec
Externí odkaz:
http://arxiv.org/abs/2412.19148
Autor:
Nagpal, Vansh, Valluru, Siva Likitha, Lakkaraju, Kausik, Gupta, Nitin, Abdulrahman, Zach, Davison, Andrew, Srivastava, Biplav
"A common decision made by people, whether healthy or with health conditions, is choosing meals like breakfast, lunch, and dinner, comprising combinations of foods for appetizer, main course, side dishes, desserts, and beverages. Often, this decision
Externí odkaz:
http://arxiv.org/abs/2412.17910
Publikováno v:
Phys. Rev. C 110, 024306 (2024)
Large-scale shell-model calculations have been performed to study the nuclear structure properties of Hg isotopes with mass varying from $A=193$ to $A=200$. The shell-model calculations are carried out in the 50 $\leq Z \leq$ 82 and 82 $ \leq N \leq$
Externí odkaz:
http://arxiv.org/abs/2412.16518
Abstraction is key to scaling up reinforcement learning (RL). However, autonomously learning abstract state and action representations to enable transfer and generalization remains a challenging open problem. This paper presents a novel approach for
Externí odkaz:
http://arxiv.org/abs/2412.16395
Autor:
Srivastava, Kushagra, Kancharla, Damodar Datta, Tahereen, Rizvi, Ramancharla, Pradeep Kumar, Sarvadevabhatla, Ravi Kiran, Kandath, Harikumar
Crack segmentation plays a crucial role in ensuring the structural integrity and seismic safety of civil structures. However, existing crack segmentation algorithms encounter challenges in maintaining accuracy with domain shifts across datasets. To a
Externí odkaz:
http://arxiv.org/abs/2412.15637
This paper introduces a novel mobile sensing application - life journaling - designed to generate semantic descriptions of users' daily lives. We present AutoLife, an automatic life journaling system based on commercial smartphones. AutoLife only inp
Externí odkaz:
http://arxiv.org/abs/2412.15714
Autor:
Liotine, Camille, Kalogera, Vicky, Andrews, Jeff J., Bavera, Simone S., Briel, Max, Fragos, Tassos, Gossage, Seth, Kovlakas, Konstantinos, Kruckow, Matthias U., Rocha, Kyle A., Srivastava, Philipp M., Sun, Meng, Teng, Elizabeth, Xing, Zepei, Zapartas, Emmanouil
Binaries harboring a millisecond pulsar (MSP) and a black hole (BH) are a key observing target for current and upcoming pulsar surveys. We model the formation and evolution of such binaries in isolation at solar metallicity using the next-generation
Externí odkaz:
http://arxiv.org/abs/2412.15521
Differentially private selection mechanisms are fundamental building blocks for privacy-preserving data analysis. While numerous mechanisms exist for single-objective selection, many real-world applications require optimizing multiple competing objec
Externí odkaz:
http://arxiv.org/abs/2412.14380
Autor:
Rawte, Vipula, Scott, Deja N, Kumar, Gaurav, Juneja, Aishneet, Yaddanapalli, Bharat Sowrya, Srivastava, Biplav
Accurate information is crucial for democracy as it empowers voters to make informed decisions about their representatives and keeping them accountable. In the US, state election commissions (SECs), often required by law, are the primary providers of
Externí odkaz:
http://arxiv.org/abs/2412.15273
Autor:
Pareja, Aldo, Nayak, Nikhil Shivakumar, Wang, Hao, Killamsetty, Krishnateja, Sudalairaj, Shivchander, Zhao, Wenlong, Han, Seungwook, Bhandwaldar, Abhishek, Xu, Guangxuan, Xu, Kai, Han, Ligong, Inglis, Luke, Srivastava, Akash
The rise of large language models (LLMs) has created a significant disparity: industrial research labs with their computational resources, expert teams, and advanced infrastructures, can effectively fine-tune LLMs, while individual developers and sma
Externí odkaz:
http://arxiv.org/abs/2412.13337