Frank Park
8 papers · 2012–2023 · 2 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer π Conference Polyglot (2) π Academic Marathon (11) π Cross-Pollinator (4)
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Renaissance Researcher
(5)
πΊοΈ
Taxonomy Completionist
(28)
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Interdisciplinary Bridge
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Keyword Champion
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Trend Setter
Conferences
NIPS (6)
ICML (2)
Top co-authors
Keywords
manifold learning
(2)
energy-based model
(2)
anomaly detection
(1)
point cloud
(1)
loss landscape
(1)
outlier detection
(1)
maximum likelihood
(1)
nearest neighbor
(1)
mcmc sampling
(1)
kernel regression
(1)
kernel density estimation
(1)
reconstruction error
(1)
nearest neighbor classification
(1)
riemannian geometry
(1)
information geometry
(1)
diffusion decision model
(1)
sequential probability ratio test
(1)
bayesian analysis
(1)
adaptive classification
(1)
probabilistic model
(1)
Papers
Variational Weighting for Kernel Density Ratios
NIPS 2023
Energy-Based Models for Anomaly Detection: A Manifold Diffusion Recovery Approach
NIPS 2023
A Statistical Manifold Framework for Point Cloud Data
ICML 2022
A Reparametrization-Invariant Sharpness Measure Based on Information Geometry
NIPS 2022
Neighborhood Reconstructing Autoencoders
NIPS 2021
Autoencoding Under Normalization Constraints
ICML 2021
Generative Local Metric Learning for Kernel Regression
NIPS 2017
Diffusion Decision Making for Adaptive k-Nearest Neighbor Classification
NIPS 2012