Guido F. Montufar
6 papers · 2011–2022 · 1 conference · across top CS/AI conferences
Achievements
Jump to papers ↓+3 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (15) π§ Keyword Pioneer π Academic Marathon (11) π£ Hot Topic Early Bird π Cross-Pollinator (14)
π
Renaissance Researcher
(5)
π
Interdisciplinary Bridge
π
Trend Setter
Conferences
NIPS (6)
Top co-authors
Research topics
Keywords
learning theory
(1)
neural tangent kernel
(1)
probabilistic modeling
(1)
shape analysis
(1)
deep learning theory
(1)
point cloud
(1)
topological data analysis
(1)
function space
(1)
message passing
(1)
probability distribution
(1)
kullback-leibler divergence
(1)
weisfeiler-lehman test
(1)
fisher information matrix
(1)
approximation error
(1)
expressive power
(1)
expressivity
(1)
persistent homology
(1)
complexity bound
(1)
generative model
(1)
generalization bound
(1)
Papers
Spectral Bias Outside the Training Set for Deep Networks in the Kernel Regime
NIPS 2022
On the Effectiveness of Persistent Homology
NIPS 2022
Weisfeiler and Lehman Go Cellular: CW Networks
NIPS 2021
On the Expected Complexity of Maxout Networks
NIPS 2021
On the Number of Linear Regions of Deep Neural Networks
NIPS 2014
Expressive Power and Approximation Errors of Restricted Boltzmann Machines
NIPS 2011