Dominic Danks
3 papers · 2021–2022 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot Β· Bronze
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Interdisciplinary Bridge Β· Bronze
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Taxonomy Completionist
(15)
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Hot Topic Early Bird
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Venues
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Research topics
Keywords
dimensionality reduction
(1)
feature learning
(1)
variational inference
(1)
cluster analysis
(1)
u-net architecture
(1)
feature clustering
(1)
diffusion process
(1)
survival analysis
(1)
wavelet basis
(1)
variational autoencoder
(1)
interpretable model
(1)
ordinary differential equation
(1)
multi-resolution analysis
(1)
cumulative distribution function
(1)
competing risk
(1)
hierarchical variational autoencoder
(1)
neural network
(1)
average pooling
(1)
multi-resolution framework
(1)
wavelet basis representation
(1)
Papers
A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs
NeurIPS 2022
Derivative-Based Neural Modelling of Cumulative Distribution Functions for Survival Analysis
AISTATS 2022
BasisDeVAE: Interpretable Simultaneous Dimensionality Reduction and Feature-Level Clustering with Derivative-Based Variational Autoencoders
ICML 2021