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
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