Zobrazeno 1 - 10
of 207 066
pro vyhledávání: '"Nair AT"'
Autor:
Maj, Antonina, Nair, V. P.
We consider the vacuum wave function of a free scalar field theory in space partitioned into two regions, with the field obeying Robin conditions (of parameter $\kappa$) on the interface. A direct integration over fields in a subregion is carried out
Externí odkaz:
http://arxiv.org/abs/2412.09491
Autor:
Narayan, Kartik, Nair, Nithin Gopalakrishnan, Xu, Jennifer, Chellappa, Rama, Patel, Vishal M.
Pre-training on large-scale datasets and utilizing margin-based loss functions have been highly successful in training models for high-resolution face recognition. However, these models struggle with low-resolution face datasets, in which the faces l
Externí odkaz:
http://arxiv.org/abs/2412.07771
Autor:
Coalson, Zachary, Woo, Jeonghyun, Chen, Shiyang, Sun, Yu, Yang, Lishan, Nair, Prashant, Fang, Bo, Hong, Sanghyun
We introduce a new class of attacks on commercial-scale (human-aligned) language models that induce jailbreaking through targeted bitwise corruptions in model parameters. Our adversary can jailbreak billion-parameter language models with fewer than 2
Externí odkaz:
http://arxiv.org/abs/2412.07192
We consider the following Colonel Blotto game between parties $P_1$ and $P_A.$ $P_1$ deploys a non negative number of troops across $J$ battlefields, while $P_A$ chooses $K,$ $K < J,$ battlefields to remove all of $P_1$'s troops from the chosen battl
Externí odkaz:
http://arxiv.org/abs/2412.06222
The efficiency of active learning (AL) approaches to identify materials with desired properties relies on the knowledge of a few parameters describing the property. However, these parameters are unknown if the property is governed by a high intricacy
Externí odkaz:
http://arxiv.org/abs/2412.05947
Autor:
Anand, Avinash, Prasad, Kritarth, Kirtani, Chhavi, Nair, Ashwin R, Gupta, Mohit, Garg, Saloni, Gautam, Anurag, Buldeo, Snehal, Shah, Rajiv Ratn
Large Language Models (LLMs) have demonstrated strong capabilities in text-based tasks but struggle with the complex reasoning required for physics problems, particularly in advanced arithmetic and conceptual understanding. While some research has ex
Externí odkaz:
http://arxiv.org/abs/2412.06827
Autor:
Shinde, Rajat, Phillips, Christopher E., Ankur, Kumar, Gupta, Aman, Pfreundschuh, Simon, Roy, Sujit, Kirkland, Sheyenne, Gaur, Vishal, Lin, Amy, Sheshadri, Aditi, Nair, Udaysankar, Maskey, Manil, Ramachandran, Rahul
High-quality machine learning (ML)-ready datasets play a foundational role in developing new artificial intelligence (AI) models or fine-tuning existing models for scientific applications such as weather and climate analysis. Unfortunately, despite t
Externí odkaz:
http://arxiv.org/abs/2412.02780
The Unruh effect is a well-understood phenomenon, where one considers a vacuum state of a quantum field in Minkowski spacetime, which appears to be thermally populated for a uniformly accelerating Rindler observer. In this article, we derive a varian
Externí odkaz:
http://arxiv.org/abs/2412.02560
We investigate the nonequilibrium dynamics of a groundstate fermionic many body gas subjected to a quench between parameter regimes of a topologically nontrivial Hamiltonian. By focusing on the role of the chiral edge states inherent to the system, w
Externí odkaz:
http://arxiv.org/abs/2412.02098
Deep learning-based models for All-In-One Image Restoration (AIOR) have achieved significant advancements in recent years. However, their practical applicability is limited by poor generalization to samples outside the training distribution. This lim
Externí odkaz:
http://arxiv.org/abs/2411.17687