Thomas E. Yerxa
Orcid: 0000-0003-2687-0816Affiliations:
- New York University, Center for Neural Science, New York, NY, USA
- University of California, Berkeley, Department of Physics, CA, USA
According to our database1,
Thomas E. Yerxa
authored at least 5 papers
between 2020 and 2024.
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Bibliography
2024
Towards an Improved Understanding and Utilization of Maximum Manifold Capacity Representations.
CoRR, 2024
Contrastive-Equivariant Self-Supervised Learning Improves Alignment with Primate Visual Area IT.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
2023
Unsupervised learning on spontaneous retinal activity leads to efficient neural representation geometry.
Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, 2023
Learning Efficient Coding of Natural Images with Maximum Manifold Capacity Representations.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
2020