Christian A. Naesseth
12 papers · 2021–2025 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+4 more ↓ Show less ↑
🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (28) 🏆 Keyword Champion (2)
🗃️
Keyword Collector
(72)
💎
Century Club · Bronze
⚡
Prolific Year · Productive
🌈
Renaissance Researcher
(5)
Venues
Top co-authors
Research topics
Machine Learning
(10)
Deep Learning
(6)
Models
(6)
Artificial Intelligence
(4)
Optimization & Theory
(4)
Learning Types
(3)
Data Science & Analytics
(2)
Interdisciplinary
(2)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Bayesian & Probabilistic · Machine Learning
(2)
Science
(2)
Computer Vision
(1)
Mathematics & Optimization
(1)
Application Areas
(1)
Applications
(1)
Keywords
variational inference
(5)
variational bound
(2)
diffusion model
(2)
generative model
(2)
sequential monte carlo
(2)
conformal prediction
(2)
bayesian inference
(2)
bayesian phylogenetic inference
(2)
flow matching
(1)
importance sampling
(1)
graph generation
(1)
approximate inference
(1)
sequential hypothesis testing
(1)
time series modeling
(1)
outlier detection
(1)
posterior probability
(1)
markov chain monte carlo
(1)
set prediction
(1)
score matching
(1)
likelihood estimation
(1)
Papers
Controlled Generation with Equivariant Variational Flow Matching
ICML 2025
Max-Rank: Efficient Multiple Testing for Conformal Prediction
AISTATS 2025
On Continuous Monitoring of Risk Violations under Unknown Shift
UAI 2025
SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations
ICML 2025
Variational Combinatorial Sequential Monte Carlo for Bayesian Phylogenetics in Hyperbolic Space
AISTATS 2025
Equivariant Neural Diffusion for Molecule Generation
NeurIPS 2024
Fast yet Safe: Early-Exiting with Risk Control
NeurIPS 2024
Neural Diffusion Models
ICML 2024
Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling
NeurIPS 2024
Variational Flow Matching for Graph Generation
NeurIPS 2024
VISA: Variational Inference with Sequential Sample-Average Approximations
NeurIPS 2024
variational combinatorial sequential monte carlo methods for bayesian phylogenetic inference
UAI 2021