Frank Park
8 papers · 2012–2023 · 2 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (27) π£ Hot Topic Early Bird
π
Keyword Champion
Venues
Top co-authors
Research topics
Keywords
energy-based model
(2)
manifold learning
(2)
loss landscape
(1)
point cloud
(1)
kernel density estimation
(1)
outlier detection
(1)
nearest neighbor
(1)
information geometry
(1)
mcmc sampling
(1)
kernel regression
(1)
maximum likelihood
(1)
reconstruction error
(1)
nearest neighbor classification
(1)
riemannian geometry
(1)
anomaly detection
(1)
diffusion decision model
(1)
sequential probability ratio test
(1)
bayesian analysis
(1)
adaptive classification
(1)
metric learning
(1)
Papers
Energy-Based Models for Anomaly Detection: A Manifold Diffusion Recovery Approach
NeurIPS 2023
Variational Weighting for Kernel Density Ratios
NeurIPS 2023
A Reparametrization-Invariant Sharpness Measure Based on Information Geometry
NeurIPS 2022
A Statistical Manifold Framework for Point Cloud Data
ICML 2022
Autoencoding Under Normalization Constraints
ICML 2021
Neighborhood Reconstructing Autoencoders
NeurIPS 2021
Generative Local Metric Learning for Kernel Regression
NeurIPS 2017
Diffusion Decision Making for Adaptive k-Nearest Neighbor Classification
NeurIPS 2012