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pro vyhledávání: '"Davis, Eric A"'
Autor:
Radhakrishnan, Ramesh, Brown, Patrick, Mutulevich, Jacob, Davis, Eric, Mirfendereski, Delaram, Cleaver, Gerald
Publikováno v:
Symmetry 2024, 16, 1007.
It has been proven that in standard Einstein gravity, exotic matter is required to stabilize traversable wormholes. Quantum field theory permits these violations due to the quantum coherent effects found in any quantum field. Even reasonable classica
Externí odkaz:
http://arxiv.org/abs/2405.05476
Autor:
Mu, Wancen, Chen, Jiawen, Davis, Eric S., Reed, Kathleen, Phanstiel, Douglas, Love, Michael I., Li, Didong
Investigating the relationship, particularly the lead-lag effect, between time series is a common question across various disciplines, especially when uncovering biological process. However, analyzing time series presents several challenges. Firstly,
Externí odkaz:
http://arxiv.org/abs/2401.07400
We present a new method for calculating the temperature profile in high explosive (HE) material using a Convolutional Neural Network (CNN). To train/test the CNN, we have developed a hybrid experiment/simulation method for collecting acoustic and tem
Externí odkaz:
http://arxiv.org/abs/2310.12260
This paper presents a method for building a personalized open-domain dialogue system to address the WWH (WHAT, WHEN, and HOW) problem for natural response generation in a commercial setting, where personalized dialogue responses are heavily interleav
Externí odkaz:
http://arxiv.org/abs/2306.03361
Autor:
Dey, Sourya, Davis, Eric
Publikováno v:
In Proceedings of The 5th Annual Learning for Dynamics and Control Conference, volume 211 of PMLR, pages 1467-1479. Jun 2023
We present DLKoopman -- a software package for Koopman theory that uses deep learning to learn an encoding of a nonlinear dynamical system into a linear space, while simultaneously learning the linear dynamics. While several previous efforts have eit
Externí odkaz:
http://arxiv.org/abs/2211.08992
A well-formulated benchmark plays a critical role in spurring advancements in the natural language processing (NLP) field, as it allows objective and precise evaluation of diverse models. As modern language models (LMs) have become more elaborate and
Externí odkaz:
http://arxiv.org/abs/2204.04541
Publikováno v:
In Heart & Lung November-December 2024 68:323-336
Publikováno v:
In Heart & Lung November-December 2024 68:92-97
Autor:
Fingrut, Warren B., Davis, Eric, Archer, Anne, Brown, Samantha, Devlin, Sean, Nhaissi, Melissa, Rapoport, Candice, Chinapen, Stephanie, Kelly, Amanda, Wells, Deborah, Scaradavou, Andromachi, Gyurkocza, Boglarka, Papadopoulos, Esperanza, Politikos, Ioannis, Shaffer, Brian C., Barker, Juliet N.
Publikováno v:
In Blood Advances 11 June 2024 8(11):2753-2764
Over recent years, a myriad of novel convolutional network architectures have been developed to advance state-of-the-art performance on challenging recognition tasks. As computational resources improve, a great deal of effort has been placed in effic
Externí odkaz:
http://arxiv.org/abs/2103.09891