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NeurIPS 2026University College London, UniveConcord AIStanfordEfficient & distributed training

An Analytical Model of Compute-limited Multistage Training Pipelines

Nishil Patel, Jin Hwa Lee, Basile Confavreux, Andrew Saxe

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Institute of Science and TechnolConcord AIInstitute of Science and TechnolAutoML & architecture search

Learning to play with spikes. Characterizing, predicting, and engineering unsupervised plasticity rules for spiking reservoir computing

Local plasticity rules stabilize spiking reservoirs and structure representations into predictable, transferable signatures that allow direct engineering of high-performing neuromorphic algorithms.

Maciej Kania, Basile Confavreux, Tim Vogels

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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14/20 AI panelreviewers recommend it

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AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 0/5