MLSP

Recent Advances of Stochastic Algorithms for Deep Learning

Supervised Learning via Tensor Completion

A Quantum Based Framework for Extracting Model Uncertainty

Self Driving Cars and AI: Transforming our Cities and our Lives

Data Science with Graphs: From social networks to self-driving cars

Bayesian Filtering and Smoothing Methods for Machine Learning

Temporal Models with Low-Rank Spectrogram

Opening the Black Box-How to Interpret Machine Learning Functions and their Decisions

A Reality Check on Data Driven Business - What are the Real Life Potential and Barriers

End-to-End Speech Recognition Systems Explored

MLSP 2017: On Bayesian Deep Learning and Deep Bayesian Learning

MLSP 2017: Cosmology and Fundamental Physics with Big Astronomical Data