Estimating Q(s,s') with Deep Deterministic Dynamics Gradients

Plug and Play Language Models: a Simple Approach to Controlled Text Generation

LCA: Loss Change Allocation for Neural Network Training

Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask

An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents

Faster Neural Networks Straight from JPEG

An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution

Measuring the Intrinsic Dimension of Objective Landscapes

Including crystal structure attributes in machine learning models of formation energies via Voronoi tessellations

Context aware machine learning approaches for modeling elastic localization in three-dimensional composite microstructures

Materials discovery: understanding polycrystals from large-scale electron patterns

PinterNet: A thematic label curation tool for large image datasets

Deep learning for chemical compound stability prediction

Machine learning approaches for elastic localization linkages in high-contrast composite materials

Pruned search: A machine learning based meta-heuristic approach for constrained continuous optimization

A predictive machine learning approach for microstructure optimization and materials design

A Machine Learning-Based Design Representation Method for Designing Heterogeneous Microstructures

A scalable hierarchical clustering algorithm using spark

Search Space Preprocessing in Solving Complex Optimization Problems

Enhancing Financial Decision-Making Using Social Behavior Modeling

Statistical modeling and signal selection in multivariate time series pattern classification

Driving course prediction for vehicle handling maneuvers

Driving course prediction for vehicle handling maneuvers

Real time vehicle speed prediction using gas-kinetic traffic modeling

Time-series temporal classification using Feature Ensemble learning