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Number of items: 13.
Article
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Biderman, Dan;
Whiteway, Matthew R;
Hurwitz, Cole;
Greenspan, Nicholas;
Lee, Robert S;
Vishnubhotla, Ankit;
Warren, Richard;
... Paninski, Liam; + view all
(2024)
Lightning Pose: improved animal pose estimation via semi-supervised learning, Bayesian ensembling and cloud-native open-source tools.
Nature Methods
, 21
(7)
pp. 1316-1328.
10.1038/s41592-024-02319-1.
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Li, Zhu;
Meunier, Dimitri;
Mollenhauer, Mattes;
Gretton, Arthur;
(2024)
Towards Optimal Sobolev Norm Rates for the Vector-Valued Regularized Least-Squares Algorithm.
Journal of Machine Learning Research (JMLR)
, 25
(181)
pp. 1-51.
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Löwe, Anika T;
Touzo, Léo;
Muhle-Karbe, Paul S;
Saxe, Andrew M;
Summerfield, Christopher;
Schuck, Nicolas W;
(2024)
Abrupt and spontaneous strategy switches emerge in simple regularised neural networks.
PLoS Computational Biology
, 20
(10)
, Article e1012505. 10.1371/journal.pcbi.1012505.
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Pegoraro, Marco;
Domine, Clementine;
Rodola, Emanuele;
Velickovic, Petar;
Deac, Andreea;
(2024)
Geometric epitope and paratope prediction.
Bioinformatics
, 40
(7)
, Article btae405. 10.1093/bioinformatics/btae405.
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Sarao Mannelli, Stefano;
Ivashynka, Yaraslau;
Saxe, Andrew;
Saglietti, Luca;
(2024)
Tilting the odds at the lottery: the interplay of overparameterisation and curricula in neural networks.
Journal of Statistical Mechanics: Theory and Experiment
, 2024
(11)
, Article 114001. 10.1088/1742-5468/ad864b.
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Proceedings paper
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Hromadka, Samo;
Sahani, Maneesh;
(2024)
Modelling Latent Dynamical Systems with Recognition-Parametrised Models.
In:
Proceedings of the Workshop: Structured Probabilistic Inference and Generative Modeling.
ICML
(In press).
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Kunin, Daniel;
Raventos, Allan;
Domine, Clementine;
Chen, Feng;
Klindt, David;
Saxe, Andrew;
Ganguli, Surya;
(2024)
Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning.
In:
Advances in Neural Information Processing Systems 37 (NeurIPS 2024).
NeurIPS Proceedings
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Sandbrink, Kai;
Bauer, Jan;
Proca, Alexandra M;
Saxe, Andrew;
Summerfield, Christopher;
Hummos, Ali;
(2024)
Flexible task abstractions emerge in linear networks with fast and bounded units.
In:
Advances in Neural Information Processing Systems 37 (NeurIPS 2024).
NeurIPS: Vancouver, Canada.
(In press).
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van Rossem, L;
Saxe, AM;
(2024)
When Representations Align: Universality in Representation Learning Dynamics.
In:
Proceedings of the 41st International Conference on Machine Learning.
(pp. pp. 49098-49121).
Proceedings of Machine Learning Research: Vienna, Austria.
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Zhang, Yedi;
Latham, Peter E;
Saxe, Andrew M;
(2024)
Understanding Unimodal Bias in Multimodal Deep Linear Networks.
In: Salakhutdinov, Ruslan and Kolter, Zico and Heller, Katherine and Weller, Adrian and Oliver, Nuria and Scarlett, Jonathan and Berkenkamp, Felix, (eds.)
Proceedings of the 41st International Conference on Machine Learning.
(pp. pp. 59100-59125).
Proceedings of Machine Learning Research (PMLR): Vienna, Austria.
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Thesis
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Jo (Xu), Ritsugen (Liyuan);
(2024)
Feature Mean Embeddings for Causal Inference.
Doctoral thesis (Ph.D), UCL (University College London).
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Ruetten, Virginia Marie Sophie;
(2024)
Whole body-brain functional imaging and interrogation platform: technology development, analysis methods and applications.
Doctoral thesis (Ph.D), UCL (University College London).
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Walker, William;
(2024)
Probabilistic Unsupervised Learning using Recognition Parameterized Models.
Doctoral thesis (Ph.D), UCL (University College London).
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