Zobrazeno 1 - 10
of 903
pro vyhledávání: '"Golkar, P."'
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. MPP involves training large surrogate models to predict the dynamics of multiple heterogeneous physical systems sim
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:
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
Autor:
Iman Najjar Kakhki, Maryam Kalhornia Golkar, Atefeh Nezhadmohammad Nameghi, Fatemeh Mohammadi Shirmahaleh, Majid Valizadeh
Publikováno v:
پژوهشهای کاربردی روانشناختی, Vol 15, Iss 2, Pp 17-32 (2024)
The aim of this study was to compare the effectiveness of group therapies that were based on acceptance and commitment, as well as schema on coping-avoidance style, in individuals who were obese or overweight and were experiencing emotional eating. T
Externí odkaz:
https://doaj.org/article/8902f1dba64d42679cb9889acf085cea
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:
Lipshutz, David, Bahroun, Yanis, Golkar, Siavash, Sengupta, Anirvan M., Chklovskii, Dmitri B.
An established normative approach for understanding the algorithmic basis of neural computation is to derive online algorithms from principled computational objectives and evaluate their compatibility with anatomical and physiological observations. S
Externí odkaz:
http://arxiv.org/abs/2302.10051
Finding informative low-dimensional representations that can be computed efficiently in large datasets is an important problem in data analysis. Recently, contrastive Principal Component Analysis (cPCA) was proposed as a more informative generalizati
Externí odkaz:
http://arxiv.org/abs/2211.07723