Zobrazeno 1 - 10
of 207 297
pro vyhledávání: '"Goldberg, A. A."'
Autor:
Ohana, Ruben, McCabe, Michael, Meyer, Lucas, Morel, Rudy, Agocs, Fruzsina J., Beneitez, Miguel, Berger, Marsha, Burkhart, Blakesley, Dalziel, Stuart B., Fielding, Drummond B., Fortunato, Daniel, Goldberg, Jared A., Hirashima, Keiya, Jiang, Yan-Fei, Kerswell, Rich R., Maddu, Suryanarayana, Miller, Jonah, Mukhopadhyay, Payel, Nixon, Stefan S., Shen, Jeff, Watteaux, Romain, Blancard, Bruno Régaldo-Saint, Rozet, François, Parker, Liam H., Cranmer, Miles, Ho, Shirley
Machine learning based surrogate models offer researchers powerful tools for accelerating simulation-based workflows. However, as standard datasets in this space often cover small classes of physical behavior, it can be difficult to evaluate the effi
Externí odkaz:
http://arxiv.org/abs/2412.00568
This paper describes the robot technology behind an original performance that pairs a human dancer (Cuan) with an industrial robot arm for an eight-hour dance that unfolds over the timespan of an American workday. To control the robot arm, we combine
Externí odkaz:
http://arxiv.org/abs/2411.12361
Autor:
Lu, Jing, Barker, Brandon L., Goldberg, Jared, Kerzendorf, Wolfgang E., Modjaz, Maryam, Couch, Sean M., Shields, Joshua V., Fullard, Andrew G.
Stripped-envelope supernovae (SESNe) represent a significant fraction of core-collapse supernovae, arising from massive stars that have shed their hydrogen and, in some cases, helium envelopes. The origins and explosion mechanisms of SESNe remain a t
Externí odkaz:
http://arxiv.org/abs/2411.11000
Publikováno v:
Advances in Information and Communication Proceedings of the 2024 Future of Information and Communication Conference (FICC), Volume 3
It is typically assumed that for the successful use of machine learning algorithms, these algorithms should have a higher accuracy than a human expert. Moreover, if the average accuracy of ML algorithms is lower than that of a human expert, such algo
Externí odkaz:
http://arxiv.org/abs/2411.10474
In the first part of the manuscript, we establish several consistency results concerning Woodin's $\HOD$ hypothesis and large cardinals around the level of extendibility. First, we prove that the first extendible cardinal can be the first strongly co
Externí odkaz:
http://arxiv.org/abs/2411.03558
The crux of quantum optics is using beam splitters to generate entanglement, including in pioneering experiments conducted by Hanbury-Brown and Twiss and Hong, Ou, and Mandel. This lies at the heart of what makes boson sampling hard to emulate by cla
Externí odkaz:
http://arxiv.org/abs/2411.03423
Autor:
Goldberg, Alexander, Ullah, Ihsan, Khuong, Thanh Gia Hieu, Rachmat, Benedictus Kent, Xu, Zhen, Guyon, Isabelle, Shah, Nihar B.
Large language models (LLMs) represent a promising, but controversial, tool in aiding scientific peer review. This study evaluates the usefulness of LLMs in a conference setting as a tool for vetting paper submissions against submission standards. We
Externí odkaz:
http://arxiv.org/abs/2411.03417
Autor:
Goldberg, Gabriel, Thei, Sebastiano
An elementary embedding $j:M\rightarrow N$ between two inner models of ZFC is cardinal preserving if $M$ and $N$ correctly compute the class of cardinals. We look at the case $N=V$ and show that there is no nontrivial cardinal preserving elementary e
Externí odkaz:
http://arxiv.org/abs/2411.01046
Autor:
Tam, Zachary, Dharmarajan, Karthik, Qiu, Tianshuang, Avigal, Yahav, Ichnowski, Jeffrey, Goldberg, Ken
In logistics, the ability to quickly compute and execute pick-and-place motions from bins is critical to increasing productivity. We present Bin-Optimized Motion Planning (BOMP), a motion planning framework that plans arm motions for a six-axis indus
Externí odkaz:
http://arxiv.org/abs/2411.00221
Text-to-image (T2I) models are remarkable at generating realistic images based on textual descriptions. However, textual prompts are inherently underspecified: they do not specify all possible attributes of the required image. This raises two key que
Externí odkaz:
http://arxiv.org/abs/2410.22592