Stat-Ml
MSTDP: A More Biologically Plausible Learning
Focal Loss based Residual Convolutional Neural Network for Speech Emotion Recognition
A data-driven approach for discovering heat load patterns in district heating
Planar Cycle Covering Graphs
Union Support Recovery in Multi-task Learning
A Monte Carlo Algorithm for Universally Optimal Bayesian Sequence Prediction and Planning
Planning to Be Surprised: Optimal Bayesian Exploration in Dynamic Environments
VUSFA:Variational Universal Successor Features Approximator to Improve Transfer DRL for Target Driven Visual Navigation
Slicing: Nonsingular Estimation of High Dimensional Covariance Matrices Using Multiway Kronecker Delta Covariance Structures
Hybrid Deterministic-Stochastic Methods for Data Fitting
Using stigmergy as a computational memory in the design of recurrent neural networks
ReNN: Rule-embedded Neural Networks
Finding Dense Clusters via "Low Rank + Sparse" Decomposition
Introducing a Generative Adversarial Network Model for Lagrangian Trajectory Simulation
Visual Analytics for Explainable Deep Learning
Evaluating Patient Readmission Risk: A Predictive Analytics Approach
Joint estimation of linear non-Gaussian acyclic models
Graph-Valued Regression
Deep Invertible Networks for EEG-based brain-signal decoding
Falsification and future performance
Self-Avoiding Random Dynamics on Integer Complex Systems
On the Geometry of Discrete Exponential Families with Application to Exponential Random Graph Models
