The Universal Approximation Theorem for Neural Networks D McNeela http://mcneela.github.io/machine_learning/2017/03/21/Universal-Approximation …, 2017 | 5 | 2017 |
Detecting topical similarities in knowledge databases DM McNeela, R Dev, AK Pradeep US Patent 10,970,291, 2021 | 2 | 2021 |
The REINFORCE algorithm aka Monte-Carlo policy differentiation D McNeela | 2 | 2019 |
Almost Equivariance via Lie Algebra Convolutions D McNeela arXiv preprint arXiv:2310.13164, 2023 | 1 | 2023 |
Almost Equivariance via Lie Algebra Convolutions D McNeela NeurIPS 2023 Workshop on Symmetry and Geometry in Neural Representations, 2023 | 1 | 2023 |
Mixed-Curvature Representation Learning for Biological Pathway Graphs D McNeela, F Sala, A Gitter 2023 ICML Workshop on Computational Biology, Honolulu, Hawaii, USA, 2023 | 1 | 2023 |
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 |