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Daniel McNeela
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Year
The Universal Approximation Theorem for Neural Networks
D McNeela
http://mcneela.github.io/machine_learning/2017/03/21/Universal-Approximation …, 2017
52017
Detecting topical similarities in knowledge databases
DM McNeela, R Dev, AK Pradeep
US Patent 10,970,291, 2021
22021
The REINFORCE algorithm aka Monte-Carlo policy differentiation
D McNeela
22019
Almost Equivariance via Lie Algebra Convolutions
D McNeela
arXiv preprint arXiv:2310.13164, 2023
12023
Almost Equivariance via Lie Algebra Convolutions
D McNeela
NeurIPS 2023 Workshop on Symmetry and Geometry in Neural Representations, 2023
12023
Mixed-Curvature Representation Learning for Biological Pathway Graphs
D McNeela, F Sala, A Gitter
2023 ICML Workshop on Computational Biology, Honolulu, Hawaii, USA, 2023
12023
Product Manifold Representations for Learning on Biological Pathways
D McNeela, F Sala, A Gitter
arXiv preprint arXiv:2401.15478, 2024
2024
Efficient Distributed Transfer Learning using Pipelined Model Parallelism
D McNeela, M Patel, S Gupta
2022
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Articles 1–8