Andrew Campbell
9 papers · 2021–2026 · 4 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (21) 🐣 Hot Topic Early Bird
🧭
Keyword Pioneer
🏆
Keyword Champion
(2)
🧬
Topic Evolution
🔥
Unstoppable · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(8)
Deep Learning
(6)
Models
(6)
Optimization & Theory
(6)
Mathematics & Optimization
(3)
Learning Types
(3)
Optimization
(3)
Artificial Intelligence
(2)
Healthcare & Medicine
(1)
Natural Language Processing
(1)
Application Areas
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Clinical
(1)
Core AI
(1)
Keywords
variational inference
(3)
diffusion model
(3)
continuous-time markov chain
(2)
generative model
(2)
discrete diffusion
(2)
denoising diffusion model
(2)
video generation
(1)
hyperparameter optimization
(1)
image generation
(1)
markov chain monte carlo
(1)
state estimation
(1)
markov chain
(1)
parameter learning
(1)
hamiltonian monte carlo
(1)
language modeling
(1)
state space model
(1)
score function
(1)
text generation
(1)
continuous time
(1)
optimal transport
(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
Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design
ICML 2024
Score-Optimal Diffusion Schedules
NeurIPS 2024
Diffusion Schrödinger Bridge Matching
NeurIPS 2023
Trans-Dimensional Generative Modeling via Jump Diffusion Models
NeurIPS 2023
A Continuous Time Framework for Discrete Denoising Models
NeurIPS 2022
A Gradient Based Strategy for Hamiltonian Monte Carlo Hyperparameter Optimization
ICML 2021
Online Variational Filtering and Parameter Learning
NeurIPS 2021