Andrew Campbell
9 papers · 2021–2026 · 4 conferences · across top CS/AI conferences
Achievements
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๐ Cross-Pollinator (15) ๐ฃ Hot Topic Early Bird ๐ Conference Polyglot (3) ๐ Interdisciplinary Bridge ๐บ๏ธ Taxonomy Completionist (18)
๐งญ
Keyword Pioneer
๐ฅ
Unstoppable
(5)
๐
Trend Setter
Conferences
NIPS (5)
ICML (2)
ACL (1)
ICLR (1)
Top co-authors
Keywords
diffusion model
(3)
variational inference
(3)
denoising diffusion model
(2)
generative model
(2)
hyperparameter optimization
(1)
video generation
(1)
image generation
(1)
target distribution
(1)
state estimation
(1)
markov chain
(1)
parameter learning
(1)
hamiltonian monte carlo
(1)
continuous time
(1)
markov chain monte carlo
(1)
score function
(1)
optimal transport
(1)
state-space model
(1)
sequential datum
(1)
online learning
(1)
stochastic gradient descent
(1)
Papers
LENS: LLM-Enabled Narrative Synthesis for Mental Health by Aligning Multimodal Sensing with Language Models
ACL 2026
Think while You Generate: Discrete Diffusion with Planned Denoising
ICLR 2025
Score-Optimal Diffusion Schedules
NIPS 2024
Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design
ICML 2024
Trans-Dimensional Generative Modeling via Jump Diffusion Models
NIPS 2023
Diffusion Schrรถdinger Bridge Matching
NIPS 2023
A Continuous Time Framework for Discrete Denoising Models
NIPS 2022
Online Variational Filtering and Parameter Learning
NIPS 2021
A Gradient Based Strategy for Hamiltonian Monte Carlo Hyperparameter Optimization
ICML 2021