|
Who
|
When
|
What
|
Where
|
| David Wei |
16 September |
On the Complexity of Neural Network Classifiers: A Comparison Between Shallow and Deep Architectures (Bianchini & Scarselli) |
TNNLS 25(8), pp. 1553-1565, 2014 |
| Johnny Meng |
23 September |
On Characterizing the Capacity of Neural Networks using Algebraic Topology |
arxiv:1802.04443 |
| Andrew Liu and Devan Srinivasan |
30 September |
Neural
Persistence: a Complexity Measure for Deep Neural Networks using
Algebraic Topology |
Proc. ICLR 2019 |
| Ryan Meredith |
7 October |
The Shape of Words - Topological Structure in
Natural Language Data |
Proc. ICLR Workshop on Topology, Algebra and Geometry in Machine Learning, 2022 |
| Karush Suri |
14 October |
Zeroth-Order Topological Insights into Iterative Magnitude Pruning |
Proc. ICLR Workshop on Topology, Algebra and Geometry in Machine Learning, 2022 |
| Teddy Wang |
21 October |
GALE: Globally Assessing Local Explanations |
Proc. ICLR Workshop on Topology, Algebra and Geometry in Machine Learning, 2022 |
| Muhammad Ahsan Kaleem and Martin Zou |
4 November |
Sign and Basis Invariant Networks for
Spectral Graph Representation Learning |
Proc. ICLR Workshop on Topology, Algebra and Geometry in Machine Learning, 2022 |
| Paul He and Mishaal Kandapath |
18 November |
|
| Information Visualization 22(3), pp. 186-208, 2023 |
| Proc. AAAI 2023 |
|