Chris C Holmes
9 papers · 2018–2023 · 1 venue · across top CS/AI venues
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Achievements
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Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(27)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(7)
Artificial Intelligence
(4)
Core Methods
(4)
Optimization & Theory
(4)
Deep Learning
(3)
Architectures
(2)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Core AI
(2)
Learning Types
(2)
Models
(2)
Computer Science
(1)
Computer Vision
(1)
Application Areas
(1)
Applications
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Keywords
bayesian inference
(2)
u-net architecture
(2)
image segmentation
(1)
bayesian nonparametrics
(1)
statistical inference
(1)
conformal prediction
(1)
wavelet transform
(1)
diffusion process
(1)
feature attribution
(1)
posterior sampling
(1)
model interpretability
(1)
adversarial robustness
(1)
posterior distribution
(1)
importance sampling
(1)
differential privacy
(1)
hierarchical model
(1)
monte carlo sampling
(1)
wavelet basis
(1)
dataset shift
(1)
unsupervised learning
(1)
Papers
A Unified Framework for U-Net Design and Analysis
NeurIPS 2023
Differentially Private Statistical Inference through β-Divergence One Posterior Sampling
NeurIPS 2023
A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs
NeurIPS 2022
Conformal Bayesian Computation
NeurIPS 2021
Multi-Facet Clustering Variational Autoencoders
NeurIPS 2021
Neural Ensemble Search for Uncertainty Estimation and Dataset Shift
NeurIPS 2021
On Locality of Local Explanation Models
NeurIPS 2021
Explicit Regularisation in Gaussian Noise Injections
NeurIPS 2020
Nonparametric learning from Bayesian models with randomized objective functions
NeurIPS 2018