Theodore Papamarkou
7 papers · 2018–2024 · 4 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Academic Marathon (6) π Cross-Pollinator (13) πΊοΈ Taxonomy Completionist (10) π Interdisciplinary Bridge
π
Conference Polyglot
(4)
π₯
Mega-Team
(43)
β‘
Prolific Year
(5)
β
The Questioner
Conferences
ICML (3)
JMLR (2)
AISTATS (1)
IJCAI (1)
Top co-authors
Keywords
posterior sampling
(2)
bayesian neural network
(2)
markov chain monte carlo
(2)
graph embedding
(1)
parameter inference
(1)
model averaging
(1)
ordinary differential equation
(1)
infinite width
(1)
simplicial complex
(1)
gradient matching
(1)
kernel methods
(1)
neural network
(1)
bayesian inference
(1)
topological machine learning
(1)
gaussian process
(1)
message passing
(1)
Papers
Connecting the Dots: Is Mode-Connectedness the Key to Feasible Sample-Based Inference in Bayesian Neural Networks?
ICML 2024
Position: Topological Deep Learning is the New Frontier for Relational Learning
ICML 2024
Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI
ICML 2024
Towards Efficient MCMC Sampling in Bayesian Neural Networks by Exploiting Symmetry (Extended Abstract)
IJCAI 2024
TopoX: A Suite of Python Packages for Machine Learning on Topological Domains
JMLR 2024
Wide Neural Networks with Bottlenecks are Deep Gaussian Processes
JMLR 2020
Multiphase MCMC Sampling for Parameter Inference in Nonlinear Ordinary Differential Equations
AISTATS 2018