Maxence Ernoult

3 papers · 2019–2024 · 1 venue · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (13) 🏆 Keyword Champion (2)

Venues

NeurIPS (3)

Top co-authors

Benjamin Scellier (2) Suhas Kumar (1) Jack Kendall (1) Julie Grollier (1) Timothy Nest (1) Yoshua Bengio (1) Damien Querlioz (1)

Research topics

Machine Learning (3) Deep Learning (2) Architectures (2) Learning Types (2) Optimization & Theory · Machine Learning (2) Artificial Intelligence (1) Interdisciplinary (1) Application Areas (1) Core AI (1) Core Methods (1) Models (1) Optimization & Theory · Deep Learning (1) Science (1)

Keywords

equilibrium propagation (3) analog computing (2) neural network optimization (1) efficient computing (1) gradient descent (1) gradient computation (1) hopfield network (1) convolutional neural network (1) recurrent neural network (1) energy-based model (1) biological learning (1) hybrid architecture (1) hybrid gradient computation (1) analog hardware (1) energy-based learning (1) feed-forward architecture (1) neural network (1) hybrid gradient (1) contrastive learning (1) backprop through time (1)

Papers

Towards training digitally-tied analog blocks via hybrid gradient computation NeurIPS 2024 Energy-based learning algorithms for analog computing: a comparative study NeurIPS 2023 Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input NeurIPS 2019