Zobrazeno 1 - 10
of 9 503
pro vyhledávání: '"Harsha, A. P."'
Here, we present a new thermomechanical geodynamic, numerical implementation that incorporates Maxwell viscoelastic rheology accounting for temperature-dependent power-law dislocation creep and pressure-sensitive, non-associated Drucker-Prager brittl
Externí odkaz:
http://arxiv.org/abs/2412.04851
Autor:
Romanou, Angelika, Foroutan, Negar, Sotnikova, Anna, Chen, Zeming, Nelaturu, Sree Harsha, Singh, Shivalika, Maheshwary, Rishabh, Altomare, Micol, Haggag, Mohamed A., A, Snegha, Amayuelas, Alfonso, Amirudin, Azril Hafizi, Aryabumi, Viraat, Boiko, Danylo, Chang, Michael, Chim, Jenny, Cohen, Gal, Dalmia, Aditya Kumar, Diress, Abraham, Duwal, Sharad, Dzenhaliou, Daniil, Florez, Daniel Fernando Erazo, Farestam, Fabian, Imperial, Joseph Marvin, Islam, Shayekh Bin, Isotalo, Perttu, Jabbarishiviari, Maral, Karlsson, Börje F., Khalilov, Eldar, Klamm, Christopher, Koto, Fajri, Krzemiński, Dominik, de Melo, Gabriel Adriano, Montariol, Syrielle, Nan, Yiyang, Niklaus, Joel, Novikova, Jekaterina, Ceron, Johan Samir Obando, Paul, Debjit, Ploeger, Esther, Purbey, Jebish, Rajwal, Swati, Ravi, Selvan Sunitha, Rydell, Sara, Santhosh, Roshan, Sharma, Drishti, Skenduli, Marjana Prifti, Moakhar, Arshia Soltani, Moakhar, Bardia Soltani, Tamir, Ran, Tarun, Ayush Kumar, Wasi, Azmine Toushik, Weerasinghe, Thenuka Ovin, Yilmaz, Serhan, Zhang, Mike, Schlag, Imanol, Fadaee, Marzieh, Hooker, Sara, Bosselut, Antoine
The performance differential of large language models (LLM) between languages hinders their effective deployment in many regions, inhibiting the potential economic and societal value of generative AI tools in many communities. However, the developmen
Externí odkaz:
http://arxiv.org/abs/2411.19799
This paper deals with a fully discrete numerical scheme for the incompressible Chemotaxis(Keller-Segel)-Navier-Stokes system. Based on a discontinuous Galerkin finite element scheme in the spatial directions, a semi-implicit first-order finite differ
Externí odkaz:
http://arxiv.org/abs/2411.16641
Autor:
Khurdula, Harsha Vardhan, Rizk, Basem, Khaitan, Indus, Anjaria, Janit, Srivastava, Aviral, Khaitan, Rajvardhan
Current benchmarks for evaluating Vision Language Models (VLMs) often fall short in thoroughly assessing model abilities to understand and process complex visual and textual content. They typically focus on simple tasks that do not require deep reaso
Externí odkaz:
http://arxiv.org/abs/2411.15201
Autor:
Ravikumar, Deepak, Yeo, Alex, Zhu, Yiwen, Lakra, Aditya, Nagulapalli, Harsha, Ravindran, Santhosh Kumar, Suh, Steve, Dutta, Niharika, Fogarty, Andrew, Park, Yoonjae, Khushalani, Sumeet, Tarafdar, Arijit, Parekh, Kunal, Krishnan, Subru
Publikováno v:
Proceedings of the VLDB Endowment, Vol. 17, No. 7 ISSN 2150-8097, 2024
The proliferation of big data and analytic workloads has driven the need for cloud compute and cluster-based job processing. With Apache Spark, users can process terabytes of data at ease with hundreds of parallel executors. At Microsoft, we aim at p
Externí odkaz:
http://arxiv.org/abs/2411.11326
Autor:
O'Brien, Kyle, Majercak, David, Fernandes, Xavier, Edgar, Richard, Chen, Jingya, Nori, Harsha, Carignan, Dean, Horvitz, Eric, Poursabzi-Sangde, Forough
Responsible practices for deploying language models include guiding models to recognize and refuse answering prompts that are considered unsafe, while complying with safe prompts. Achieving such behavior typically requires updating model weights, whi
Externí odkaz:
http://arxiv.org/abs/2411.11296
Autor:
Das, Saumyajit, Hutridurga, Harsha
In this article we study a reaction diffusion system with $m$ unknown concentration. The non-linearity in our study comes from an underlying reversible chemical reaction and triangular in nature. Our objective is to understand the large time behaviou
Externí odkaz:
http://arxiv.org/abs/2411.09382
Autor:
Geiger, Abra, Cordes, James M., Lam, Michael T., Ocker, Stella Koch, Chatterjee, Shami, Arzoumanian, Zaven, Battaglia, Ava L., Blumer, Harsha, Brook, Paul R., Combs, Olivia A., Cromartie, H. Thankful, DeCesar, Megan E., Demorest, Paul B., Dolch, Timothy, Ellis, Justin A., Ferdman, Robert D., Ferrara, Elizabeth C., Fonseca, Emmanuel, Garver-Daniels, Nate, Gentile, Peter A., Good, Deborah C., Jones, Megan L., Lorimer, Duncan R., Luo, Jing, Lynch, Ryan S., McLaughlin, Maura A., Ng, Cherry, Nice, David J., Pennucci, Timothy T., Pol, Nihan S., Ransom, Scott M., Spiewak, Renée, Stairs, Ingrid H., Stovall, Kevin, Swiggum, Joseph K., Vigeland, Sarah J.
Free electrons in the interstellar medium refract and diffract radio waves along multiple paths, resulting in angular and temporal broadening of radio pulses that limits pulsar timing precision. We determine multifrequency, multi-epoch scattering tim
Externí odkaz:
http://arxiv.org/abs/2411.08191
Path planning in narrow passages is a challenging problem in various applications. Traditional planning algorithms often face challenges in complex environments like mazes and traps, where narrow entrances require special orientation control for succ
Externí odkaz:
http://arxiv.org/abs/2411.05279
Neural networks trained with stochastic gradient descent exhibit an inductive bias towards simpler decision boundaries, typically converging to a narrow family of functions, and often fail to capture more complex features. This phenomenon raises conc
Externí odkaz:
http://arxiv.org/abs/2411.04569