Zobrazeno 1 - 10
of 14 766
pro vyhledávání: '"Hegde, P"'
In 1994, Erd\H{o}s and Gy\'arf\'as conjectured that every graph with minimum degree at least 3 has a cycle of length a power of 2. In 2022, Gao and Shan (Graphs and Combinatorics) proved that the conjecture is true for $P_8$-free graphs, i.e., graphs
Externí odkaz:
http://arxiv.org/abs/2410.22842
Autor:
Caufield, Harry, Kroll, Carlo, O'Neil, Shawn T, Reese, Justin T, Joachimiak, Marcin P, Hegde, Harshad, Harris, Nomi L, Krishnamurthy, Madan, McLaughlin, James A, Smedley, Damian, Haendel, Melissa A, Robinson, Peter N, Mungall, Christopher J
Effective data-driven biomedical discovery requires data curation: a time-consuming process of finding, organizing, distilling, integrating, interpreting, annotating, and validating diverse information into a structured form suitable for databases an
Externí odkaz:
http://arxiv.org/abs/2411.00046
Autor:
Wang, Franklin, Hegde, Sumanth
Offline paired preference optimization algorithms have become a popular approach for fine-tuning on preference data, outperforming traditional supervised fine-tuning in various tasks. However, traditional implementations often involve redundant compu
Externí odkaz:
http://arxiv.org/abs/2410.20305
With the increasing availability of open-source robotic data, imitation learning has emerged as a viable approach for both robot manipulation and locomotion. Currently, large generalized policies are trained to predict controls or trajectories using
Externí odkaz:
http://arxiv.org/abs/2410.14040
Gaussian processes are notorious for scaling cubically with the size of the training set, preventing application to very large regression problems. Computation-aware Gaussian processes (CAGPs) tackle this scaling issue by exploiting probabilistic lin
Externí odkaz:
http://arxiv.org/abs/2410.08796
Data curation is the problem of how to collect and organize samples into a dataset that supports efficient learning. Despite the centrality of the task, little work has been devoted towards a large-scale, systematic comparison of various curation met
Externí odkaz:
http://arxiv.org/abs/2410.05057
Autor:
Roy, Sujit, Singh, Talwinder, Freitag, Marcus, Schmude, Johannes, Lal, Rohit, Hegde, Dinesha, Ranjan, Soumya, Lin, Amy, Gaur, Vishal, Vos, Etienne Eben, Ghosal, Rinki, Patro, Badri Narayana, Aydin, Berkay, Pogorelov, Nikolai, Moreno, Juan Bernabe, Maskey, Manil, Ramachandran, Rahul
Deep learning-based methods have been widely researched in the areas of language and vision, demonstrating their capacity to understand long sequences of data and their usefulness in numerous helio-physics applications. Foundation models (FMs), which
Externí odkaz:
http://arxiv.org/abs/2410.10841
Autor:
Tali, Ronak, Rabeh, Ali, Yang, Cheng-Hau, Shadkhah, Mehdi, Karki, Samundra, Upadhyaya, Abhisek, Dhakshinamoorthy, Suriya, Saadati, Marjan, Sarkar, Soumik, Krishnamurthy, Adarsh, Hegde, Chinmay, Balu, Aditya, Ganapathysubramanian, Baskar
Simulating fluid flow around arbitrary shapes is key to solving various engineering problems. However, simulating flow physics across complex geometries remains numerically challenging and computationally resource-intensive, particularly when using c
Externí odkaz:
http://arxiv.org/abs/2409.18032
Autor:
Popov, Alexander, Degirmenci, Alperen, Wehr, David, Hegde, Shashank, Oldja, Ryan, Kamenev, Alexey, Douillard, Bertrand, Nistér, David, Muller, Urs, Bhargava, Ruchi, Birchfield, Stan, Smolyanskiy, Nikolai
We propose the use of latent space generative world models to address the covariate shift problem in autonomous driving. A world model is a neural network capable of predicting an agent's next state given past states and actions. By leveraging a worl
Externí odkaz:
http://arxiv.org/abs/2409.16663
Autor:
Hegde, Harshad, Vendetti, Jennifer, Goutte-Gattat, Damien, Caufield, J Harry, Graybeal, John B, Harris, Nomi L, Karam, Naouel, Kindermann, Christian, Matentzoglu, Nicolas, Overton, James A, Musen, Mark A, Mungall, Christopher J
Ontologies and knowledge graphs (KGs) are general-purpose computable representations of some domain, such as human anatomy, and are frequently a crucial part of modern information systems. Most of these structures change over time, incorporating new
Externí odkaz:
http://arxiv.org/abs/2409.13906