Zobrazeno 1 - 10
of 49 298
pro vyhledávání: '"Sriram, A."'
We conducted a high-throughput density functional theory calculation and comprehensive analysis of the momentum matrix elements between the band edges across a wide range of nonmagnetic two-dimensional monolayer materials with direct band gaps. The p
Externí odkaz:
http://arxiv.org/abs/2409.18287
This work reports the fabrication and characterization of a NiOx/\b{eta}-Ga2O3 heterojunction diode (HJD) that uses a metallic nickel (Ni) target to deposit NiOx layers via reactive RF magnetron sputtering and lift-off processing with >3 kV breakdown
Externí odkaz:
http://arxiv.org/abs/2409.17374
We present an approach for systematically anticipating the actions and policies employed by \emph{oblivious} environments in concurrent stochastic games, while maximizing a reward function. Our main contribution lies in the synthesis of a finite \emp
Externí odkaz:
http://arxiv.org/abs/2409.11671
The recent advancements in artificial intelligence (AI), with the release of several large models having only query access, make a strong case for explainability of deep models in a post-hoc gradient free manner. In this paper, we propose a framework
Externí odkaz:
http://arxiv.org/abs/2409.11123
Autor:
Liu, Guiliang, Xu, Sheng, Liu, Shicheng, Gaurav, Ashish, Subramanian, Sriram Ganapathi, Poupart, Pascal
Inverse Constrained Reinforcement Learning (ICRL) is the task of inferring the implicit constraints followed by expert agents from their demonstration data. As an emerging research topic, ICRL has received considerable attention in recent years. This
Externí odkaz:
http://arxiv.org/abs/2409.07569
Ni-Mo superalloys have emerged as materials of choice for a diverse array of applications owing to their superior mechanical properties, exceptional corrosion and oxidation resistance, electrocatalytic behavior, and surface stability. Understanding a
Externí odkaz:
http://arxiv.org/abs/2409.07320
Alzheimer's Disease is an incurable cognitive condition that affects thousands of people globally. While some diagnostic methods exist for Alzheimer's Disease, many of these methods cannot detect Alzheimer's in its earlier stages. Recently, researche
Externí odkaz:
http://arxiv.org/abs/2409.05989
Autor:
Dutta, Soumya, Ganapathy, Sriram
Speech emotion recognition (SER), the task of identifying the expression of emotion from spoken content, is challenging due to the difficulty in extracting representations that capture emotional attributes from speech. The scarcity of large labeled d
Externí odkaz:
http://arxiv.org/abs/2409.05566
Large Language Models (LLMs) have shown versatility in various Natural Language Processing (NLP) tasks, including their potential as effective question-answering systems. However, to provide precise and relevant information in response to specific cu
Externí odkaz:
http://arxiv.org/abs/2409.03708
The performance of quantum error correcting (QEC) codes are often studied under the assumption of spatio-temporally uniform error rates. On the other hand, experimental implementations almost always produce heterogeneous error rates, in either space
Externí odkaz:
http://arxiv.org/abs/2409.03325