Deep learning, dark knowledge, and dark matter

Pierre Baldi , Peter Sadowski , Julian Collado , Daniel Whiteson
neural information processing systems 81 -97

42
2014
Revealing Fundamental Physics from the Daya Bay Neutrino Experiment Using Deep Neural Networks

Prabhat , Seyoon Ko , Wahid Bhimji , Pierre Baldi
international conference on machine learning and applications 892 -897

22
2016
Theano: A Python framework for fast computation of mathematical expressions

Rami Al-Rfou , Guillaume Alain , Amjad Almahairi , Christof Angermueller
arXiv: Symbolic Computation

868
2016
Parameterized neural networks for high-energy physics

Pierre Baldi , Kyle Cranmer , Taylor Faucett , Peter Sadowski
European Physical Journal C 76 ( 5) 235

92
2016
Proxy-based Prediction of Solar Extreme Ultraviolet Emission Using Deep Learning

Eric Gaidos , Peter Sadowski , Xudong Sun , Anthony Pineci
The Astrophysical Journal 910 ( 2)

2021
Synergies Between Quantum Mechanics and Machine Learning in Reaction Prediction.

Peter Sadowski , David Fooshee , Niranjan Subrahmanya , Pierre Baldi
Journal of Chemical Information and Modeling 56 ( 11) 2125 -2128

28
2016
Sherpa: Robust hyperparameter optimization for machine learning

Lars Hertel , Julian Collado , Peter Sadowski , Jordan Ott
SoftwareX 12 100591

90
2020
Decorrelated Jet Substructure Tagging using Adversarial Neural Networks

Chase Shimmin , Peter Sadowski , Pierre Baldi , Edison Weik
Physical Review D 96 ( 7) 074034

97
2017
Bayesian and pairwise local similarity discriminant analysis

Peter Sadowski , Luca Cazzanti , Maya R. Gupta
2010 2nd International Workshop on Cognitive Information Processing 287 -292

3
2010
Deep Learning in the Natural Sciences: Applications to Physics

Peter Sadowski , Pierre Baldi
Braverman Readings in Machine Learning 269 -297

4
2018
Jet Substructure Classification in High-Energy Physics with Deep Neural Networks

Pierre Baldi , Kevin Bauer , Clara Eng , Peter Sadowski
Physical Review D 93 ( 9) 094034

164
2016
PANDA: Extreme Scale Parallel K-Nearest Neighbor on Distributed Architectures

Md. Mostofa Ali Patwary , Nadathur Rajagopalan Satish , Narayanan Sundaram , Jialin Liu
international parallel and distributed processing symposium 494 -503

21
2016
Learning in the Machine: Random Backpropagation and the Deep Learning Channel.

Pierre Baldi , Peter Sadowski , Zhiqin Lu
Artificial Intelligence 260 1 -35

74
2018
The dropout learning algorithm

Pierre Baldi , Peter Sadowski
Artificial Intelligence 210 78 -122

310
2014
Learning in the machine: The symmetries of the deep learning channel.

Pierre Baldi , Peter Sadowski , Zhiqin Lu
Neural Networks 95 110 -133

26
2017
56
2016
Deep Learning for Predicting Significant Wave Height From Synthetic Aperture Radar

Brandon Quach , Yannik Glaser , Justin Edward Stopa , Alexis Aurelien Mouche
IEEE Transactions on Geoscience and Remote Sensing 59 ( 3) 1859 -1867

24
2021
Deep autoencoder neural networks for gene ontology annotation predictions

Davide Chicco , Peter Sadowski , Pierre Baldi
international conference on bioinformatics 533 -540

229
2014