Publication

Theory of representation learning in cortical neural networks

About
Privacy
Disclaimer

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Theory of representation learning in cortical neural networks

Graph Chatbot

Chat with Graph Search

Approximating Relu Networks By Single-Spike Computation

Algorithms for Efficient and Robust Distributed Deep Learning

Controllability and Interpretability in Affective Speech Synthesis

Brain signals of a Surprise-Actor-Critic model: Evidence for multiple learning modules in human decision making

Learning of Continuous and Piecewise-Linear Functions With Hessian Total-Variation Regularization

Neural Set Function Extensions: Learning with Discrete Functions in High Dimensions

Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation

Using Animal Motion Capture to Learn Neural Representations

Personalized Productive Engagement Recognition in Robot-Mediated Collaborative Learning

Combining Model Driven and Data Driven Approaches for Inverse Problems in Parameter Estimation and Image Reconstruction: From Modelling to Validation