Zobrazeno 1 - 10
of 11 903
pro vyhledávání: '"Thiagarajan, A."'
Autor:
Guo, Qinda, Xu, Ke-Jun, Berntsen, Magnus H., Grubišić-Čabo, Antonija, Dendzik, Maciej, Balasubramanian, Thiagarajan, Polley, Craig, Chen, Su-Di, He, Junfeng, He, Yu, Rotundu, Costel R., Lee, Young S., Hashimoto, Makoto, Lu, Dong-Hui, Devereaux, Thomas P., Lee, Dung-Hai, Shen, Zhi-Xun, Tjernberg, Oscar
Spin- and charge-lattice interactions are potential key factors in the microscopic mechanism of high-temperature superconductivity in cuprates. Although both interactions can dramatically shape the low-energy electronic structure, their phenomenologi
Externí odkaz:
http://arxiv.org/abs/2408.01685
Reliably detecting when a deployed machine learning model is likely to fail on a given input is crucial for ensuring safe operation. In this work, we propose DECIDER (Debiasing Classifiers to Identify Errors Reliably), a novel approach that leverages
Externí odkaz:
http://arxiv.org/abs/2408.00331
Autor:
Wang, Lingzhi, Wang, Jiahui, Jung, Kyle, Thiagarajan, Kedar, Wei, Emily, Shen, Xiangmin, Chen, Yan, Li, Zhenyuan
The escalating battles between attackers and defenders in cybersecurity make it imperative to test and evaluate defense capabilities from the attackers' perspective. However, constructing full-life-cycle cyberattacks and performing red team emulation
Externí odkaz:
http://arxiv.org/abs/2407.16928
In this work, we investigate the fundamental trade-off regarding accuracy and parameter efficiency in the parameterization of neural network weights using predictor networks. We present a surprising finding that, when recovering the original model ac
Externí odkaz:
http://arxiv.org/abs/2407.00356
Scaling up neural networks has been a key recipe to the success of large language and vision models. However, in practice, up-scaled models can be disproportionately costly in terms of computations, providing only marginal improvements in performance
Externí odkaz:
http://arxiv.org/abs/2406.17117
Offshore wind farms have emerged as a popular renewable energy source that can generate substantial electric power with a low environmental impact. However, integrating these farms into the grid poses significant complexities. To address these issues
Externí odkaz:
http://arxiv.org/abs/2406.10365
Autor:
Narayanaswamy, Vivek, Thopalli, Kowshik, Anirudh, Rushil, Mubarka, Yamen, Sakla, Wesam, Thiagarajan, Jayaraman J.
Anchoring is a recent, architecture-agnostic principle for training deep neural networks that has been shown to significantly improve uncertainty estimation, calibration, and extrapolation capabilities. In this paper, we systematically explore anchor
Externí odkaz:
http://arxiv.org/abs/2406.00529
Autor:
Li, Cong, Hu, Mengli, Li, Zhilin, Wang, Yang, Chen, Wanyu, Thiagarajan, Balasubramanian, Leandersson, Mats, Polley, Craig, Kim, Timur, Liu, Hui, Fulga, Cosma, Vergniory, Maia G., Janson, Oleg, Tjernberg, Oscar, Brink, Jeroen van den
Altermagnets constitute a novel, third fundamental class of collinear magnetic ordered materials, alongside with ferro- and antiferromagnets. They share with conventional antiferromagnets the feature of a vanishing net magnetization. At the same time
Externí odkaz:
http://arxiv.org/abs/2405.14777
Autor:
Jurenka, Irina, Kunesch, Markus, McKee, Kevin R., Gillick, Daniel, Zhu, Shaojian, Wiltberger, Sara, Phal, Shubham Milind, Hermann, Katherine, Kasenberg, Daniel, Bhoopchand, Avishkar, Anand, Ankit, Pîslar, Miruna, Chan, Stephanie, Wang, Lisa, She, Jennifer, Mahmoudieh, Parsa, Rysbek, Aliya, Ko, Wei-Jen, Huber, Andrea, Wiltshire, Brett, Elidan, Gal, Rabin, Roni, Rubinovitz, Jasmin, Pitaru, Amit, McAllister, Mac, Wilkowski, Julia, Choi, David, Engelberg, Roee, Hackmon, Lidan, Levin, Adva, Griffin, Rachel, Sears, Michael, Bar, Filip, Mesar, Mia, Jabbour, Mana, Chaudhry, Arslan, Cohan, James, Thiagarajan, Sridhar, Levine, Nir, Brown, Ben, Gorur, Dilan, Grant, Svetlana, Hashimshoni, Rachel, Weidinger, Laura, Hu, Jieru, Chen, Dawn, Dolecki, Kuba, Akbulut, Canfer, Bileschi, Maxwell, Culp, Laura, Dong, Wen-Xin, Marchal, Nahema, Van Deman, Kelsie, Misra, Hema Bajaj, Duah, Michael, Ambar, Moran, Caciularu, Avi, Lefdal, Sandra, Summerfield, Chris, An, James, Kamienny, Pierre-Alexandre, Mohdi, Abhinit, Strinopoulous, Theofilos, Hale, Annie, Anderson, Wayne, Cobo, Luis C., Efron, Niv, Ananda, Muktha, Mohamed, Shakir, Heymans, Maureen, Ghahramani, Zoubin, Matias, Yossi, Gomes, Ben, Ibrahim, Lila
A major challenge facing the world is the provision of equitable and universal access to quality education. Recent advances in generative AI (gen AI) have created excitement about the potential of new technologies to offer a personal tutor for every
Externí odkaz:
http://arxiv.org/abs/2407.12687
Current approaches in Generalized Zero-Shot Learning (GZSL) are built upon base models which consider only a single class attribute vector representation over the entire image. This is an oversimplification of the process of novel category recognitio
Externí odkaz:
http://arxiv.org/abs/2404.08761