Alexandra Proca
@aproca.bsky.social
PhD student at Imperial College London, currently visiting researcher at ENS Paris. theoretical neuroscience, machine learning. aproca.github.io
How do task dynamics impact learning in networks with internal dynamics?
Excited to share our ICML Oral paper on learning dynamics in linear RNNs!
with @clementinedomine.bsky.social @mpshanahan.bsky.social and Pedro Mediano
openreview.net/forum?id=KGO...
Excited to share our ICML Oral paper on learning dynamics in linear RNNs!
with @clementinedomine.bsky.social @mpshanahan.bsky.social and Pedro Mediano
openreview.net/forum?id=KGO...
Learning dynamics in linear recurrent neural networks
Recurrent neural networks (RNNs) are powerful models used widely in both machine learning and neuroscience to learn tasks with temporal dependencies and to model neural dynamics. However, despite...
openreview.net
June 20, 2025 at 5:29 PM
How do task dynamics impact learning in networks with internal dynamics?
Excited to share our ICML Oral paper on learning dynamics in linear RNNs!
with @clementinedomine.bsky.social @mpshanahan.bsky.social and Pedro Mediano
openreview.net/forum?id=KGO...
Excited to share our ICML Oral paper on learning dynamics in linear RNNs!
with @clementinedomine.bsky.social @mpshanahan.bsky.social and Pedro Mediano
openreview.net/forum?id=KGO...
Reposted by Alexandra Proca
🚀 An other Exciting news! Our paper "From Lazy to Rich: Exact Learning Dynamics in Deep Linear Networks" has been accepted at ICLR 2025!
arxiv.org/abs/2409.14623
A thread on how relative weight initialization shapes learning dynamics in deep networks. 🧵 (1/9)
arxiv.org/abs/2409.14623
A thread on how relative weight initialization shapes learning dynamics in deep networks. 🧵 (1/9)
April 4, 2025 at 2:45 PM
🚀 An other Exciting news! Our paper "From Lazy to Rich: Exact Learning Dynamics in Deep Linear Networks" has been accepted at ICLR 2025!
arxiv.org/abs/2409.14623
A thread on how relative weight initialization shapes learning dynamics in deep networks. 🧵 (1/9)
arxiv.org/abs/2409.14623
A thread on how relative weight initialization shapes learning dynamics in deep networks. 🧵 (1/9)
Had a really fun time collaborating on this project with a great team. I’ll be at NeurIPs next week to present it, come by and check out our paper for more!
Thrilled to share our NeurIPS Spotlight paper with Jan Bauer*, @aproca.bsky.social*, @saxelab.bsky.social, @summerfieldlab.bsky.social, Ali Hummos*! openreview.net/pdf?id=AbTpJ...
We study how task abstractions emerge in gated linear networks and how they support cognitive flexibility.
We study how task abstractions emerge in gated linear networks and how they support cognitive flexibility.
December 4, 2024 at 10:52 AM
Had a really fun time collaborating on this project with a great team. I’ll be at NeurIPs next week to present it, come by and check out our paper for more!
Reposted by Alexandra Proca
Thrilled to share our NeurIPS Spotlight paper with Jan Bauer*, @aproca.bsky.social*, @saxelab.bsky.social, @summerfieldlab.bsky.social, Ali Hummos*! openreview.net/pdf?id=AbTpJ...
We study how task abstractions emerge in gated linear networks and how they support cognitive flexibility.
We study how task abstractions emerge in gated linear networks and how they support cognitive flexibility.
December 3, 2024 at 4:05 PM
Thrilled to share our NeurIPS Spotlight paper with Jan Bauer*, @aproca.bsky.social*, @saxelab.bsky.social, @summerfieldlab.bsky.social, Ali Hummos*! openreview.net/pdf?id=AbTpJ...
We study how task abstractions emerge in gated linear networks and how they support cognitive flexibility.
We study how task abstractions emerge in gated linear networks and how they support cognitive flexibility.