350 citations · 647 across the 4 of their papers we have counts for
4 papers
Curiosity-Driven Multi-Criteria Hindsight Experience Replay
John B. Lanier, Stephen McAleer, Pierre Baldi
Dealing with sparse rewards is a longstanding challenge in reinforcement learning. The recent use of hindsight methods have achieved success on a variety of sparse-reward tasks, bu…
Jet Flavor Classification in High-Energy Physics with Deep Neural Networks
Daniel Guest, Julian Collado, Pierre Baldi +3
Classification of jets as originating from light-flavor or heavy-flavor quarks is an important task for inferring the nature of particles produced in high-energy collisions. The la…
Learning Activation Functions to Improve Deep Neural Networks
Forest Agostinelli, Matthew Hoffman, Peter Sadowski +1
Artificial neural networks typically have a fixed, non-linear activation function at each neuron. We have designed a novel form of piecewise linear activation function that is lear…
Enhanced Higgs to Searches with Deep Learning
Pierre Baldi, Peter Sadowski, Daniel Whiteson
The Higgs boson is thought to provide the interaction that imparts mass to the fundamental fermions, but while measurements at the Large Hadron Collider (LHC) are consistent with t…