Zobrazeno 1 - 10
of 2 952
pro vyhledávání: '"Golkar A"'
Publikováno v:
DS 134: Proceedings of the 26th International DSM Conference (DSM 2024), Stuttgart, Germany
As Large Language Models become ubiquitous in many sectors and tasks, there is a need to reduce token usage, overcoming challenges such as short context windows, limited output sizes, and costs associated with token intake and generation, especially
Externí odkaz:
http://arxiv.org/abs/2410.00749
Autor:
Golkar, Siavash, Bietti, Alberto, Pettee, Mariel, Eickenberg, Michael, Cranmer, Miles, Hirashima, Keiya, Krawezik, Geraud, Lourie, Nicholas, McCabe, Michael, Morel, Rudy, Ohana, Ruben, Parker, Liam Holden, Blancard, Bruno Régaldo-Saint, Cho, Kyunghyun, Ho, Shirley
Transformers have revolutionized machine learning across diverse domains, yet understanding their behavior remains crucial, particularly in high-stakes applications. This paper introduces the contextual counting task, a novel toy problem aimed at enh
Externí odkaz:
http://arxiv.org/abs/2406.02585
Autor:
Golkar, Siavash, Berman, Jules, Lipshutz, David, Haret, Robert Mihai, Gollisch, Tim, Chklovskii, Dmitri B.
To generate actions in the face of physiological delays, the brain must predict the future. Here we explore how prediction may lie at the core of brain function by considering a neuron predicting the future of a scalar time series input. Assuming tha
Externí odkaz:
http://arxiv.org/abs/2401.03248
Autor:
Parker, Liam, Lanusse, Francois, Golkar, Siavash, Sarra, Leopoldo, Cranmer, Miles, Bietti, Alberto, Eickenberg, Michael, Krawezik, Geraud, McCabe, Michael, Ohana, Ruben, Pettee, Mariel, Blancard, Bruno Regaldo-Saint, Tesileanu, Tiberiu, Cho, Kyunghyun, Ho, Shirley
We present AstroCLIP, a single, versatile model that can embed both galaxy images and spectra into a shared, physically meaningful latent space. These embeddings can then be used - without any model fine-tuning - for a variety of downstream tasks inc
Externí odkaz:
http://arxiv.org/abs/2310.03024
Autor:
McCabe, Michael, Blancard, Bruno Régaldo-Saint, Parker, Liam Holden, Ohana, Ruben, Cranmer, Miles, Bietti, Alberto, Eickenberg, Michael, Golkar, Siavash, Krawezik, Geraud, Lanusse, Francois, Pettee, Mariel, Tesileanu, Tiberiu, Cho, Kyunghyun, Ho, Shirley
We introduce multiple physics pretraining (MPP), an autoregressive task-agnostic pretraining approach for physical surrogate modeling of spatiotemporal systems with transformers. In MPP, rather than training one model on a specific physical system, w
Externí odkaz:
http://arxiv.org/abs/2310.02994
Autor:
Golkar, Siavash, Pettee, Mariel, Eickenberg, Michael, Bietti, Alberto, Cranmer, Miles, Krawezik, Geraud, Lanusse, Francois, McCabe, Michael, Ohana, Ruben, Parker, Liam, Blancard, Bruno Régaldo-Saint, Tesileanu, Tiberiu, Cho, Kyunghyun, Ho, Shirley
Large Language Models have not yet been broadly adapted for the analysis of scientific datasets due in part to the unique difficulties of tokenizing numbers. We propose xVal, a numerical encoding scheme that represents any real number using just a si
Externí odkaz:
http://arxiv.org/abs/2310.02989
Autor:
Abdullah Kaviani Rad, Seraj-Odeen Razmi, Mohammad Javad Nematollahi, Armin Naghipour, Foroogh Golkar, Mohammadreza Mahmoudi
Publikováno v:
Alexandria Engineering Journal, Vol 104, Iss , Pp 464-479 (2024)
Air pollution has significant detrimental impacts on the environmental compartments and human health. The present study investigates the interactions between selected air pollutants, including CO, O3, NO2, SO2, PM10, and PM2.5, in Tehran megacity, th
Externí odkaz:
https://doaj.org/article/f770282a6cb541df98cebfdfb488c879
Autor:
Pedersen, Christian, Tesileanu, Tiberiu, Wu, Tinghui, Golkar, Siavash, Cranmer, Miles, Zhang, Zijun, Ho, Shirley
In Elmarakeby et al., "Biologically informed deep neural network for prostate cancer discovery", a feedforward neural network with biologically informed, sparse connections (P-NET) was presented to model the state of prostate cancer. We verified the
Externí odkaz:
http://arxiv.org/abs/2309.16645
Publikováno v:
Managerial Finance, 2024, Vol. 50, Issue 8, pp. 1424-1443.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/MF-09-2023-0548
Publikováno v:
Strategic Research on Social Problems, Vol 13, Iss 3, Pp 105-130 (2024)
Introduction The contemporary world is characterized by continuous and extensive events and transformations. Among these, the geographic mobility of people stands out as one of the most significant aspects of human history. Humans are inherently migr
Externí odkaz:
https://doaj.org/article/e2294ab36194495f9ed8908150758ebc