Peter Sadowski
UC Irvine, Department of Computer Science
Personal
Research
Home
New:
Learning in the Machine: Random Backpropagation and the Learning Channel
P. Baldi, P. Sadowski, and Z. Lu
(submitted)
Journal Publications:
Decorrelated Jet Substructure Tagging using Adversarial Neural Networks
C. Shimmin, P. Sadowski, P. Baldi, E. Weik, D. Whiteson, E. Goul, and A. Sogaard
Physical Review D
, 2017
Learning in the Machine: the Symmetries of the Deep Learning Channel
P. Baldi, P. Sadowski, and Z. Lu
Neural Networks
, 2017.
Efficient Antihydrogen Detection in Antimatter Physics by Deep Learning
P. Sadowski, B. Radics, Ananya, Y. Yamazaki, P. Baldi
Journal of Physics Communications
, 2017.
Synergies Between Quantum Mechanics and Machine Learning in Reaction Prediction
P. Sadowski, D. Fooshee, N. Subrahmanya, and P. Baldi
Journal of Chemical Information and Modeling
, 2016.
A Theory of Local Learning, the Learning Channel, and the Optimality of Backpropagation
P. Baldi and P. Sadowski
Neural Networks
, 2016.
Jet Substructure Classification in High-Energy Physics with Deep Neural Networks
P. Baldi, K. Bauer, C. Eng, P. Sadowski, and D. Whiteson
Physical Review D
, 2016.
Parameterized Neural Networks for High-Energy Physics
P. Baldi, K. Cranmer, T. Faucett, P. Sadowski, and D. Whiteson
The European Physics Journal C
, 2016.
Enhanced Higgs Boson to Tau Tau Search with Deep Learning
P. Baldi, P. Sadowski, and D. Whiteson.
Physical Review Letters
, 2015.
Deep Learning, Dark Knowledge, and Dark Matter
P. Sadowski, J. Collado, D. Whiteson, P. Baldi
Journal of Machine Learning Research
, 2014.
Searching for Exotic Particles in High-Energy Physics with Deep Learning
P. Baldi, P. Sadowski, and D. Whiteson.
Nature Communications
, 2014.
The Dropout Learning Algorithm
P. Baldi and P. Sadowski.
Artificial Intelligence
, 2014.
Inter-Species Prediction of Protein Phosphorylation in the sbv IMPROVER Species Translation Challenge
M. Biehl, P. Sadowski, G. Bhanot, A. Dayarian, P. Meyer, R. Norel, K. Rhrissorrakrai, H. Sahand, and M. Zeller.
Bioinformatics
, 2014.
Small-Molecule 3D Structure Prediction Using Open Crystallography Data
P. Sadowski and P. Baldi.
Journal of Chemical Information and Modeling
, 2013.
Conference Papers:
Learning Activation Functions to Improve Deep Neural Networks
F. Agostinelli, M. Hoffman, P. Sadowski, P. Baldi
International Conference on Learning Representations
(workshop track), 2015
Searching for Higgs Boson Decay Modes with Deep Learning
P. Sadowski, D. Whiteson, P. Baldi
Advances in Neural Information Processing Systems
, 2014.
Deep Autoencoder Neural Networks for Gene Ontology Annotation Predictions
D. Chicco, P. Sadowski, and P. Baldi.
ACM Conference on Bioinformatics, Computational Biology, and Health Informatics
, 2014.
Understanding Dropout
P. Baldi and P. Sadowski.
Advances in Neural Information Processing Systems
, 2013.
Bayesian and Pairwise Local Similarity Discriminant Analysis
P. Sadowski, L. Cazzanti, and M. Gupta.
Proc. IEEE Conf. on Cognitive Information Processing
, 2010.
© 2014 •
CE