Zobrazeno 1 - 10
of 11 686
pro vyhledávání: '"Dhillon, A P"'
Autor:
Chakraborty, Joheen, Burdge, Kevin B., Rappaport, Saul A., Munday, James, Chen, Hai-Liang, Rodríguez-Gil, Pablo, Dhillon, V. S., Hughes, Scott A., Nelemans, Gijs, Kara, Erin, Bellm, Eric C., Brown, Alex J., Segura, Noel Castro, Chen, Tracy X., Chickles, Emma, Dyer, Martin J., Dekany, Richard, Drake, Andrew J., Garbutt, James, Graham, Matthew J., Green, Matthew J., Jarvis, Dan, Kennedy, Mark R., Kerry, Paul, Kulkarni, S. R., Littlefair, Stuart P., Mahabal, Ashish A., Masci, Frank J., McCormac, James, Parsons, Steven G., Pelisoli, Ingrid, Pike, Eleanor, Prince, Thomas A., Riddle, Reed, van Roestel, Jan, Sahman, Dave, Wold, Avery, Wong, Tin Long Sunny
We report the discovery of three ultracompact binary white dwarf systems hosting accretion disks, with orbital periods of 7.95, 8.68, and 13.15 minutes. This significantly augments the population of mass-transferring binaries at the shortest periods,
Externí odkaz:
http://arxiv.org/abs/2411.12796
Autor:
Dhillon, M., Kataria, K. K.
In this paper, we study the composition of two independent GCPs which we call the iterated generalized counting process (IGCP). Its distributional properties such as the transition probabilities, probability generating function, state probabilities a
Externí odkaz:
http://arxiv.org/abs/2411.09257
Transformers have had tremendous impact for several sequence related tasks, largely due to their ability to retrieve from any part of the sequence via softmax based dot-product attention. This mechanism plays a crucial role in Transformer's performan
Externí odkaz:
http://arxiv.org/abs/2411.03493
Autor:
Palepu, Anil, Dhillon, Vikram, Niravath, Polly, Weng, Wei-Hung, Prasad, Preethi, Saab, Khaled, Tanno, Ryutaro, Cheng, Yong, Mai, Hanh, Burns, Ethan, Ajmal, Zainub, Kulkarni, Kavita, Mansfield, Philip, Webster, Dale, Barral, Joelle, Gottweis, Juraj, Schaekermann, Mike, Mahdavi, S. Sara, Natarajan, Vivek, Karthikesalingam, Alan, Tu, Tao
Large language models (LLMs) have shown remarkable progress in encoding clinical knowledge and responding to complex medical queries with appropriate clinical reasoning. However, their applicability in subspecialist or complex medical settings remain
Externí odkaz:
http://arxiv.org/abs/2411.03395
Autor:
Pursiainen, M., Killestein, T. L., Kuncarayakti, H., Charalampopoulos, P., Lyman, J., Kotak, R., Leloudas, G., Coppejans, D., Kravtsov, T., Maeda, K., Nagao, T., Taguchi, K., Ackley, K., Dhillon, V. S., Galloway, D. K., Kumar, A., O'Neill, D., Steeghs, D.
We present the analysis of optical data of a bright and extremely-rapidly evolving transient, AT2024wpp, whose properties are similar to the enigmatic AT2018cow (aka the Cow). AT2024wpp rose to a peak brightness of c=-21.9mag in 4.3d and remained abo
Externí odkaz:
http://arxiv.org/abs/2411.03272
Autor:
Shaw, A. W., Kaplan, D. L., Gandhi, P., Maccarone, T. J., Borowski, E. S., Britt, C. T., Buckley, D. A. H., Burdge, K. B., Charles, P. A., Dhillon, V. S., French, R. G., Heinke, C. O., Hynes, R. I., Knigge, C., Littlefair, S. P., Pawar, Devraj, Plotkin, R. M., Ressler, M. E., Santos-Sanz, P., Shahbaz, T., Sivakoff, G. R., Stevens, A. L.
JWST, despite not being designed to observe astrophysical phenomena that vary on rapid time scales, can be an unparalleled tool for such studies. If timing systematics can be controlled, JWST will be able to open up the sub-second infrared timescale
Externí odkaz:
http://arxiv.org/abs/2411.02238
Inverse rendering pipelines are gaining prominence in realizing photo-realistic reconstruction of real-world objects for emulating them in virtual reality scenes. Apart from material reflectances, spectral rendering and in-scene illuminants' spectral
Externí odkaz:
http://arxiv.org/abs/2410.22679
Supervised fine-tuning (SFT) and alignment of large language models (LLMs) are key steps in providing a good user experience. However, the concept of an appropriate alignment is inherently application-dependent, and current methods often rely on heur
Externí odkaz:
http://arxiv.org/abs/2410.21533
Autor:
Yen, Jui-Nan, Si, Si, Meng, Zhao, Yu, Felix, Duvvuri, Sai Surya, Dhillon, Inderjit S., Hsieh, Cho-Jui, Kumar, Sanjiv
Low-rank adaption (LoRA) is a widely used parameter-efficient finetuning method for LLM that reduces memory requirements. However, current LoRA optimizers lack transformation invariance, meaning the actual updates to the weights depends on how the tw
Externí odkaz:
http://arxiv.org/abs/2410.20625
Autor:
Dhillon, Gurbir, Faergeman, Joakim
For a reductive group $G$, we introduce a notion of singular support for cocomplete dualizable DG-categories equipped with a strong $G$-action. This is done by considering the singular support of the sheaves of matrix coefficients arising from the ac
Externí odkaz:
http://arxiv.org/abs/2410.18360