Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Anirudh Goyal"'
Publikováno v:
BMC Public Health, Vol 23, Iss 1, Pp 1-8 (2023)
Abstract Background Body image concerns are prevalent and are viewed as risk factors for engaging in unhealthy weight control behaviors (UWCBs), such as purging, fasting, and the misuse of laxatives and diet pills. Studies have also linked UWCBs to t
Externí odkaz:
https://doaj.org/article/9bbb0a3812374f7f9480dcd5997d1d5d
Autor:
Nan Rosemary Ke, Sara-Jane Dunn, Jorg Bornschein, Silvia Chiappa, Melanie Rey, Jean-Baptiste Lespiau, Albin Cassirer, Jane Wang, Theophane Weber, David Barrett, Matthew Botvinick, Anirudh Goyal, Mike Mozer, Danilo Rezende
Accurately inferring Gene Regulatory Networks (GRNs) is a critical and challenging task in biology. GRNs model the activatory and inhibitory interactions between genes and are inherently causal in nature. To accurately identify GRNs, perturbational d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d94f868c7b7b9fbcaad5d4d504103b88
http://arxiv.org/abs/2304.05823
http://arxiv.org/abs/2304.05823
Background Body image concerns are prevalent and are viewed as risk factors for engaging in unhealthy weight control behaviors (UWCBs), such as purging, fasting, and the misuse of laxatives and diet pills. Studies have also linked UWCBs to the develo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d698c6632080cd1136702322f4eea7a
https://doi.org/10.21203/rs.3.rs-1915352/v1
https://doi.org/10.21203/rs.3.rs-1915352/v1
Autor:
Samarth Sinha, Homanga Bharadhwaj, Anirudh Goyal, Hugo Larochelle, Animesh Garg, Florian Shkurti
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 35:9666-9674
Although deep learning models have achieved state-of-the art performance on a number of vision tasks, generalization over high dimensional multi-modal data, and reliable predictive uncertainty estimation are still active areas of research. Bayesian a
Publikováno v:
2021 International Conference on Intelligent Technologies (CONIT).
With the advent of Intelligent Transportation Systems, traffic management can be made more robust and advanced. This can alleviate problems such as wrong side driving, which is one of the leading causes of traffic congestion and road accidents, thus
Autor:
Bernhard Schölkopf, Stefan Bauer, Nan Rosemary Ke, Anirudh Goyal, Francesco Locatello, Yoshua Bengio, Nal Kalchbrenner
Publikováno v:
Proceedings of the IEEE, 109 (5)
The two fields of machine learning and graphical causality arose and are developed separately. However, there is, now, cross-pollination and increasing interest in both fields to benefit from the advances of the other. In this article, we review fund
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a6166acb6e91a50f43166724661aece
https://hdl.handle.net/20.500.11850/484234
https://hdl.handle.net/20.500.11850/484234
Publikováno v:
2020 IEEE 17th India Council International Conference (INDICON).
Phasor Measurement Units (PMU) are being deployed in power grids all over the world recently for monitoring and control of power grids. Recently many applications of PMU are being reported in literature for estimation of power system parameters like
Autor:
Anirudh Goyal, Yoshua Bengio
A fascinating hypothesis is that human and animal intelligence could be explained by a few principles (rather than an encyclopedic list of heuristics). If that hypothesis was correct, we could more easily both understand our own intelligence and buil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10ff749daa04af03a22ecc8fb30de562
http://arxiv.org/abs/2011.15091
http://arxiv.org/abs/2011.15091
Publikováno v:
2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS).
With growing concerns over road traffic mismanagement and rampant untraced vehicle movement, it becomes imperative to deploy countermeasures. In this paper, we propose a solution for installation of contact-free road barricading system which employs
Publikováno v:
2020 International Conference on Communication and Signal Processing (ICCSP).
This paper reviews and evaluates several state of the-art object tracking algorithms. It compares the various techniques on different parameters by implementing each one of them as it is important to check their performance and robustness. These algo