Lukas Braun

4 papers · 2021–2025 · 3 venues · 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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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (13)

Venues

NeurIPS (2) ICLR (1) ICML (1)

Top co-authors

Andrew M Saxe (2) James Fitzgerald (1) Andrew Saxe (1) Clémentine Dominé (1) Daniel Kunin (1) TIm Vogels (1) Clémentine Carla Juliette Dominé (1) Nicolas Anguita (1) Pedro A. M. Mediano (1) Erin Grant (1)

Research topics

Machine Learning (4) Deep Learning (3) Learning Types · Machine Learning (3) Optimization & Theory · Machine Learning (3) Artificial Intelligence (2) Architectures (2) Core AI (2) Learning Types · Deep Learning (2) Interdisciplinary (1) Optimization & Theory · Deep Learning (1) Science (1)

Keywords

neural tangent kernel (2) representation learning (2) continual learning (1) online learning (1) neural computation (1) neural network optimization (1) prior knowledge (1) spike timing (1) temporal learning (1) synaptic connectivity (1) weight initialization (1) learning dynamics (1) linear network (1) deep linear network (1) representational similarity (1) intrinsic parameter (1) leaky integrate-and-fire (1) functional similarity (1) matrix riccati equation (1) sparse feedback (1)

Papers

From Lazy to Rich: Exact Learning Dynamics in Deep Linear Networks ICLR 2025 Not all solutions are created equal: An analytical dissociation of functional and representational similarity in deep linear neural networks ICML 2025 Exact learning dynamics of deep linear networks with prior knowledge NeurIPS 2022 Online Learning Of Neural Computations From Sparse Temporal Feedback NeurIPS 2021