Marcus A Brubaker
8 papers · 2013–2024 · 2 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Gold π Academic Marathon Β· Half πΊοΈ Taxonomy Completionist (22) π£ Hot Topic Early Bird π Conference Polyglot Β· Bronze
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Keyword Pioneer
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Renaissance Researcher
(5)
Venues
Top co-authors
Research topics
Machine Learning
(6)
Core Methods
(4)
Artificial Intelligence
(3)
Computer Vision
(3)
Deep Learning
(3)
Bayesian & Probabilistic
(3)
Learning Types
(3)
Models
(3)
Mathematics & Optimization
(2)
Optimization
(2)
Optimization & Theory
(2)
Healthcare & Medicine
(1)
Interdisciplinary
(1)
Analysis
(1)
Application Areas
(1)
Keywords
variational inference
(3)
normalizing flow
(3)
cryo-electron microscopy
(2)
image generation
(1)
density estimation
(1)
hyperparameter optimization
(1)
pose estimation
(1)
wavelet transform
(1)
deep learning
(1)
marginal likelihood
(1)
gaussian process
(1)
time series
(1)
discrete optimization
(1)
sparse regression
(1)
variational free energy
(1)
gaussian process regression
(1)
sparse approximation
(1)
time series modeling
(1)
stochastic process
(1)
image reconstruction
(1)
Papers
CryoSPIN: Improving Ab-Initio Cryo-EM Reconstruction with Semi-Amortized Pose Inference
NeurIPS 2024
Non-parametric Sensor Noise Modeling and Synthesis
ECCV 2024
Watch Your Steps: Local Image and Scene Editing by Text Instructions
ECCV 2024
Residual Multiplicative Filter Networks for Multiscale Reconstruction
NeurIPS 2022
Continuous Latent Process Flows
NeurIPS 2021
Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows
NeurIPS 2020
Wavelet Flow: Fast Training of High Resolution Normalizing Flows
NeurIPS 2020
Efficient Optimization for Sparse Gaussian Process Regression
NeurIPS 2013