Robert Lange – Medium

Robert Lange

Published in
Towards Data Science

Distributed Decentralized Training of Neural Networks: A Primer

Data Parallelism, Butterfly All-Reduce, Gossiping and More…

Nov 19, 2024

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Nov 19, 2024

Published in
Towards Data Science

Four Deep Learning Papers to Read in January 2022

From Bootstrapped Meta-Learning to Time Series Forecasting with Deep Learning, the Relationship between Extrapolation & Generalization and…

Jan 10, 2022

Four Deep Learning Papers to Read in January 2022

Jan 10, 2022

Published in
Towards Data Science

Four Deep Learning Papers to Read in December 2021

From Sensory Substitution to Decision Transformers, Persistent Evolution Strategies and Sharpness-Aware Minimization

Nov 28, 2021

Four Deep Learning Papers to Read in December 2021

Nov 28, 2021

Published in
Towards Data Science

Four Deep Learning Papers to Read in September 2021

From Auto-ML to Vision Transformer Training & Representations and Catastrophic Fisher Explosion

Sep 4, 2021

Four Deep Learning Papers to Read in September 2021

Sep 4, 2021

Published in
Towards Data Science

Four Deep Learning Papers to Read in August 2021

From Optimizer Benchmarks to Network Dissection, Vision Transformers & Lottery Subspaces

Aug 2, 2021

Four Deep Learning Papers to Read in August 2021

Aug 2, 2021

Published in
Towards Data Science

Four Deep Learning Papers to Read in July 2021

From Large Scale Deep RL to Adversarial Robustness, SimCLR-v2 & Learning Neural Network Spaces

Jun 30, 2021

Four Deep Learning Papers to Read in July 2021

Jun 30, 2021

Published in
Towards Data Science

Four Deep Learning Papers to Read in June 2021

Jun 1, 2021

Four Deep Learning Papers to Read in June 2021

Jun 1, 2021

Published in
Towards Data Science

Four Deep Learning Papers to Read in May 2021

Apr 30, 2021

Four Deep Learning Papers to Read in May 2021

Apr 30, 2021

Published in
Towards Data Science

Four Deep Learning Papers to Read in April 2021

From Meta-Gradients to Clockwork VAEs, a Global Workspace Theory for Neural Networks and the Edge of Training Stabilityx

Mar 30, 2021

Four Deep Learning Papers to Read in April 2021

Mar 30, 2021

Published in
Towards Data Science

Four Deep Learning Papers to Read in March 2021

From Synthetic Gradients to Capsule Networks, Conservation Laws for Network Training & Multi-Agent Generative Models

Feb 28, 2021

Four Deep Learning Papers to Read in March 2021

Feb 28, 2021

Robert Lange

Robert Lange

Deep Learning PhD @TU Berlin. Research Scientist @Sakana.AI. ✍️ 2x Google DeepMind Intern 🧑‍🔬 Follow me: https://x.com/RobertTLange

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