C
search
search
reviewers
reviewers
feeds
feeds
assignments
assignments
settings
logout
Michael Munn
Publication Activity (10 Years)
Years Active: 2020-2023
Publications (10 Years): 6
Top Topics
Multiclass Learning
Sequential Data
Generalization Bounds
Machine Learning
Top Venues
CoRR
NeurIPS
TAG-ML
</>
Publications
</>
Michael Munn
,
Benoit Dherin
,
Javier Gonzalvo
A margin-based multiclass generalization bound via geometric complexity.
TAG-ML
(2023)
Ryan Gillard
,
Stephen Jonany
,
Yingjie Miao
,
Michael Munn
,
Connal de Souza
,
Jonathan Dungay
,
Chen Liang
,
David R. So
,
Quoc V. Le
,
Esteban Real
Unified Functional Hashing in Automatic Machine Learning.
CoRR
(2023)
Benoit Dherin
,
Michael Munn
,
Mihaela Rosca
,
David G. T. Barrett
Why neural networks find simple solutions: the many regularizers of geometric complexity.
CoRR
(2022)
Benoit Dherin
,
Michael Munn
,
Mihaela Rosca
,
David Barrett
Why neural networks find simple solutions: The many regularizers of geometric complexity.
NeurIPS
(2022)
Tianlin Xu
,
Li Kevin Wenliang
,
Michael Munn
,
Beatrice Acciaio
COT-GAN: Generating Sequential Data via Causal Optimal Transport.
CoRR
(2020)
Tianlin Xu
,
Li Kevin Wenliang
,
Michael Munn
,
Beatrice Acciaio
COT-GAN: Generating Sequential Data via Causal Optimal Transport.
NeurIPS
(2020)