Zobrazeno 1 - 10
of 19 401
pro vyhledávání: '"Josiah An"'
Autor:
Li, Maggie L., Ho, Anna Y. Q., Ryan, Geoffrey, Perley, Daniel A., Lamb, Gavin P., Nayana, A. J., Andreoni, Igor, Anupama, G. C., Bellm, Eric C., Berger, Edo, Bloom, Joshua S., Burns, Eric, Caiazzo, Ilaria, Chandra, Poonam, Coughlin, Michael W., El-Badry, Kareem, Graham, Matthew J., Kasliwal, Mansi, Keating, Garrett K., Kulkarni, S. R., Kumar, Harsh, Masci, Frank J., Perley, Richard A., Purdum, Josiah, Rao, Ramprasad, Rodriguez, Antonio C., Rusholme, Ben, Sarin, Nikhil, Sollerman, Jesper, Srinivasaragavan, Gokul P., Swain, Vishwajeet, Vanderbosch, Zachary
In the past few years, the improved sensitivity and cadence of wide-field optical surveys have enabled the discovery of several afterglows without associated detected gamma-ray bursts (GRBs). We present the identification, observations, and multiwave
Externí odkaz:
http://arxiv.org/abs/2411.07973
Autor:
Cabral, Rina Carines, Han, Soyeon Caren, Alhassan, Areej, Batista-Navarro, Riza, Nenadic, Goran, Poon, Josiah
Discontinuous Named Entity Recognition (DNER) presents a challenging problem where entities may be scattered across multiple non-adjacent tokens, making traditional sequence labelling approaches inadequate. Existing methods predominantly rely on cust
Externí odkaz:
http://arxiv.org/abs/2411.01839
Precise action localization in untrimmed video is vital for fields such as professional sports and minimally invasive surgery, where the delineation of particular motions in recordings can dramatically enhance analysis. But in many cases, large scale
Externí odkaz:
http://arxiv.org/abs/2410.14340
Video Paragraph Captioning (VPC) aims to generate paragraph captions that summarises key events within a video. Despite recent advancements, challenges persist, notably in effectively utilising multimodal signals inherent in videos and addressing the
Externí odkaz:
http://arxiv.org/abs/2410.09377
Autor:
Kratz, Josiah C., Adamczyk, Jacob
Many organisms and cell types, from bacteria to cancer cells, exhibit a remarkable ability to adapt to fluctuating environments. Additionally, cells can leverage memory of past environments to better survive previously-encountered stressors. From a c
Externí odkaz:
http://arxiv.org/abs/2410.08439
Autor:
Dai, Tianyuan, Wong, Josiah, Jiang, Yunfan, Wang, Chen, Gokmen, Cem, Zhang, Ruohan, Wu, Jiajun, Fei-Fei, Li
Training robot policies in the real world can be unsafe, costly, and difficult to scale. Simulation serves as an inexpensive and potentially limitless source of training data, but suffers from the semantics and physics disparity between simulated and
Externí odkaz:
http://arxiv.org/abs/2410.07408
This tutorial explores recent advancements in multimodal pretrained and large models, capable of integrating and processing diverse data forms such as text, images, audio, and video. Participants will gain an understanding of the foundational concept
Externí odkaz:
http://arxiv.org/abs/2410.05608
Autor:
Cole, Ryan K., Fredrick, Connor, Parts, Winter, Kingston, Max, Chinatti, Carolyn, Tusler, Josiah, Mahadevan, Suvrath, Terrien, Ryan, Diddams, Scott A.
Disk-integrated observations of the Sun provide a unique vantage point to explore stellar activity and its effect on measured radial velocities. Here, we report a new approach for disk-integrated solar spectroscopy and evaluate its capabilities for s
Externí odkaz:
http://arxiv.org/abs/2410.04588
In reinforcement learning, offline value function learning is the procedure of using an offline dataset to estimate the expected discounted return from each state when taking actions according to a fixed target policy. The stability of this procedure
Externí odkaz:
http://arxiv.org/abs/2410.01643
Autor:
Rigault, Mickael, Smith, Mathew, Goobar, Ariel, Maguire, Kate, Dimitriadis, Georgios, Burgaz, Umut, Dhawan, Suhail, Sollerman, Jesper, Regnault, Nicolas, Kowalski, Marek, Amenouche, Melissa, Aubert, Marie, Barjou-Delayre, Chloé, Bautista, Julian, Bloom, Josh S., Carreres, Bastien, Chen, Tracy X., Copin, Yannick, Deckers, Maxime, Fouchez, Dominique, Fremling, Christoffer, Galbany, Lluis, Ginolin, Madeleine, Graham, Matthew, Kasliwal, Mancy M., Kenworthy, W. D'Arcy, Kim, Young-Lo, Kuhn, Dylan, Masci, Frank F., Müller-Bravo, Tomas, Miller, Adam, Johansson, Joel, Nordin, Jakob, Nugent, Peter, Andreoni, Igor, Bellm, Eric, Betoule, Marc, Osman, Mahmoud, Perley, Dan, Popovic, Brodie, Rosnet, Philippe, Rosselli, Damiano, Ruppin, Florian, Senzel, Robert, Rusholme, Ben, Schweyer, Tassilo, Terwel, Jacco H., Townsend, Alice, Tzanidakis, Andy, Wold, Avery, Purdum, Josiah, Qin, Yu-Jing, Racine, Benjamin, Reusch, Simeon, Riddle, Reed, Yan, Lin
We present the first homogeneous release of several thousand Type Ia supernovae (SNe Ia), all having spectroscopic classification, and spectroscopic redshifts for half the sample. This release, named the "DR2", contains 3628 nearby (z < 0.3) SNe Ia d
Externí odkaz:
http://arxiv.org/abs/2409.04346