Publications (23)
Polynomial threshold functions, hyperplane arrangements, and random tensors
Pierre Baldi, Roman Vershynin
The capacity of feedforward neural networks
Pierre Baldi, Roman Vershynin
Learning Activation Functions to Improve Deep Neural Networks
Forest Agostinelli, Matthew Hoffman, Peter Sadowski +1
Privacy-Enhanced Methods for Comparing Compressed DNA Sequences
David Eppstein, Michael T. Goodrich, Pierre Baldi
Countering Gattaca: Efficient and Secure Testing of Fully-Sequenced Human Genomes (Full Version)
Pierre Baldi, Roberta Baronio, Emiliano De Cristofaro +2
Revealing Fundamental Physics from the Daya Bay Neutrino Experiment using Deep Neural Networks
Evan Racah, Seyoon Ko, Peter Sadowski +5
Complex-Valued Autoencoders
Pierre Baldi, Zhiqin Lu
A Theory of Local Learning, the Learning Channel, and the Optimality of Backpropagation
Pierre Baldi, Peter Sadowski
Curiosity-Driven Multi-Criteria Hindsight Experience Replay
John B. Lanier, Stephen McAleer, Pierre Baldi
Decorrelated Jet Substructure Tagging using Adversarial Neural Networks
Chase Shimmin, Peter Sadowski, Pierre Baldi +4
Solving the Rubik's Cube Without Human Knowledge
Stephen McAleer, Forest Agostinelli, Alexander Shmakov +1
Neural Network Gradient Hamiltonian Monte Carlo
Lingge Li, Andrew Holbrook, Babak Shahbaba +1
Efficient Antihydrogen Detection in Antimatter Physics by Deep Learning
Peter Sadowski, Balint Radics, Ananya +2
Learning in the Machine: Random Backpropagation and the Deep Learning Channel
Pierre Baldi, Peter Sadowski, Zhiqin Lu
Oreo: Detection of Clones in the Twilight Zone
Vaibhav Saini, Farima Farmahinifarahani, Yadong Lu +2
Learning in the Machine: the Symmetries of the Deep Learning Channel
Pierre Baldi, Peter Sadowski, Zhiqin Lu
Towards Automating Precision Studies of Clone Detectors
Vaibhav Saini, Farima Farmahinifarahani, Yadong Lu +5
Jet Substructure Classification in High-Energy Physics with Deep Neural Networks
Pierre Baldi, Kevin Bauer, Clara Eng +2
Improved Energy Reconstruction in NOvA with Regression Convolutional Neural Networks
Pierre Baldi, Jianming Bian, Lars Hertel +1
Jet Flavor Classification in High-Energy Physics with Deep Neural Networks
Daniel Guest, Julian Collado, Pierre Baldi +3
Parameterized Machine Learning for High-Energy Physics
Pierre Baldi, Kyle Cranmer, Taylor Faucett +2
Searching for Exotic Particles in High-Energy Physics with Deep Learning
Pierre Baldi, Peter Sadowski, Daniel Whiteson
Enhanced Higgs to $Ï^+Ï^-$ Searches with Deep Learning
Pierre Baldi, Peter Sadowski, Daniel Whiteson