Zobrazeno 1 - 10
of 9 412
pro vyhledávání: '"P., Gopalan"'
We give a principled method for decomposing the predictive uncertainty of a model into aleatoric and epistemic components with explicit semantics relating them to the real-world data distribution. While many works in the literature have proposed such
Externí odkaz:
http://arxiv.org/abs/2412.18808
Autor:
Ross, Aiden, Ali, Mohamed S. M. M., Saha, Akash, Zu, Rui, Gopalan, Venkatraman, Dabo, Ismaila, Chen, Long-Qing
Ferroelectric materials underlie key optical technologies in optical communications, integrated optics and quantum computing. Yet, there is a lack of a consistent thermodynamic framework to predict the optical properties of ferroelectrics and the mut
Externí odkaz:
http://arxiv.org/abs/2412.03459
This study explores the application of deep learning for rainfall prediction, leveraging the Spinning Enhanced Visible and Infrared Imager (SEVIRI) High rate information transmission (HRIT) data as input and the Operational Program on the Exchange of
Externí odkaz:
http://arxiv.org/abs/2412.00451
Zero-shot slot filling is a well-established subtask of Natural Language Understanding (NLU). However, most existing methods primarily focus on single-turn text data, overlooking the unique complexities of conversational dialogue. Conversational data
Externí odkaz:
http://arxiv.org/abs/2411.18980
Autor:
Sharma, Tanu, Tiwari, Rupesh Kumar, Dey, Sourav, Mariano, Lorenzo A., Lunghi, Alessandro, Rajaraman, Gopalan
This study presents the first-ever investigation of spin-phonon coupling mechanisms in fullerene-based single-molecule magnets (SMMs) using ab initio CASSCF combined with DFT calculations. While lanthanide-based SMMs, particularly those with DyIII io
Externí odkaz:
http://arxiv.org/abs/2411.10779
Autor:
Banerjee, Debangshu, Gopalan, Aditya
Recent advances in aligning Large Language Models with human preferences have benefited from larger reward models and better preference data. However, most of these methodologies rely on the accuracy of the reward model. The reward models used in Rei
Externí odkaz:
http://arxiv.org/abs/2410.23726
Autor:
Singh, Vivek, Chaganti, Shikha, Siebert, Matthias, Rajesh, Soumya, Puiu, Andrei, Gopalan, Raj, Gramz, Jamie, Comaniciu, Dorin, Kamen, Ali
Early screening for cancer has proven to improve the survival rate and spare patients from intensive and costly treatments due to late diagnosis. Cancer screening in the healthy population involves an initial risk stratification step to determine the
Externí odkaz:
http://arxiv.org/abs/2410.19646
Humans can perform various combinations of physical skills without having to relearn skills from scratch every single time. For example, we can swing a bat when walking without having to re-learn such a policy from scratch by composing the individual
Externí odkaz:
http://arxiv.org/abs/2410.17479
Autor:
Chuang, Yu-Neng, Zhou, Helen, Sarma, Prathusha Kameswara, Gopalan, Parikshit, Boccio, John, Bolouki, Sara, Hu, Xia
Large language models (LLMs) have demonstrated impressive performance on several tasks and are increasingly deployed in real-world applications. However, especially in high-stakes settings, it becomes vital to know when the output of an LLM may be un
Externí odkaz:
http://arxiv.org/abs/2410.13284
Autor:
Rath, Prabin Kumar, Gopalan, Nakul
Classical manipulator motion planners work across different robot embodiments. However they plan on a pre-specified static environment representation, and are not scalable to unseen dynamic environments. Neural Motion Planners (NMPs) are an appealing
Externí odkaz:
http://arxiv.org/abs/2409.15585