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2020 – today
- 2020
[c7]Will Burstein, John Wilmes:
Obstacles to Depth Compression of Neural Networks. ICANN (2) 2020: 104-115
2010 – 2019
- 2019
- [c6]Santosh S. Vempala, John Wilmes:
Gradient Descent for One-Hidden-Layer Neural Networks: Polynomial Convergence and SQ Lower Bounds. COLT 2019: 3115-3117 - 2018
- [c5]Daniel Stefankovic
, Eric Vigoda, John Wilmes:
On Counting Perfect Matchings in General Graphs. LATIN 2018: 873-885 - [i5]Santosh S. Vempala, John Wilmes:
Polynomial Convergence of Gradient Descent for Training One-Hidden-Layer Neural Networks. CoRR abs/1805.02677 (2018) - 2017
- [c4]Le Song, Santosh S. Vempala, John Wilmes, Bo Xie:
On the Complexity of Learning Neural Networks. NIPS 2017: 5514-5522 - [i4]Le Song, Santosh S. Vempala, John Wilmes, Bo Xie:
On the Complexity of Learning Neural Networks. CoRR abs/1707.04615 (2017) - [i3]Daniel Stefankovic, Eric Vigoda, John Wilmes:
On Counting Perfect Matchings in General Graphs. CoRR abs/1712.07504 (2017) - 2015
- [c3]Xiaorui Sun, John Wilmes:
Faster Canonical Forms for Primitive Coherent Configurations: Extended Abstract. STOC 2015: 693-702 - [i2]László Babai, John Wilmes:
Asymptotic Delsarte cliques in distance-regular graphs. CoRR abs/1503.02746 (2015) - [i1]Xiaorui Sun, John Wilmes:
Structure and automorphisms of primitive coherent configurations. CoRR abs/1510.02195 (2015) - 2013
- [c2]László Babai, Xi Chen, Xiaorui Sun, Shang-Hua Teng, John Wilmes:
Faster Canonical Forms for Strongly Regular Graphs. FOCS 2013: 157-166 - [c1]László Babai, John Wilmes:
Quasipolynomial-time canonical form for steiner designs. STOC 2013: 261-270
Coauthor Index
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