Nicholas Ruozzi
25 papers · 2012–2026 · 10 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (42) π Academic Marathon Β· Half π Conference Polyglot Β· Gold π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Deep Specialist
(10)
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Keyword Champion
(2)
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Renaissance Researcher
(5)
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Trend Setter
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Conference Pioneer
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Unstoppable Β· Bronze
ποΈ
Keyword Collector
(111)
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Century Club Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(21)
Core Methods
(13)
Optimization & Theory
(13)
Artificial Intelligence
(12)
Bayesian & Probabilistic Β· Machine Learning
(10)
Bayesian & Probabilistic Β· Artificial Intelligence
(9)
Mathematics & Optimization
(8)
Optimization
(6)
Deep Learning
(5)
Computer Vision
(4)
Analysis
(4)
Learning Types
(4)
Mathematics
(4)
Core AI
(3)
Models
(3)
Keywords
graphical model
(8)
variational inference
(6)
markov random field
(5)
partition function
(5)
belief propagation
(5)
approximate inference
(4)
structured prediction
(3)
probabilistic inference
(3)
lifted inference
(3)
neural network
(2)
markov logic network
(2)
probabilistic graphical model
(2)
tractable probabilistic model
(2)
cutset network
(2)
graph cover
(2)
message passing
(2)
bethe approximation
(2)
map inference
(2)
maximum likelihood estimation
(2)
particle filtering
(1)
Papers
A Novel Approach to Evaluating Evaluation Metrics for Multi-Output Structured Prediction
AAAI 2026
Learnability-Driven Submodular Optimization for Active Roadside 3D Detection
CVPR 2026
CMB-ML: A Cosmic Microwave Background Dataset for the Oldest Possible Computer Vision Task
ICCV 2025
CaptainCook4D: A Dataset for Understanding Errors in Procedural Activities
NeurIPS 2024
Learning Distributionally Robust Tractable Probabilistic Models in Continuous Domains
UAI 2024
A New Modeling Framework for Continuous, Sequential Domains
AISTATS 2023
Self-Supervised Unseen Object Instance Segmentation via Long-Term Robot Interaction
RSS 2023
Boosting the Performance of Generic Deep Neural Network Frameworks with Log-supermodular CRFs
NeurIPS 2022
Conditionally Tractable Density Estimation using Neural Networks
AISTATS 2022
Relational Neural Markov Random Fields
AISTATS 2022
Dynamic Cutset Networks
AISTATS 2021
General Purpose MRF Learning with Neural Network Potentials
IJCAI 2020
Lifted Hybrid Variational Inference
IJCAI 2020
Correlated Variational Auto-Encoders
ICML 2019
Lifted Message Passing for Hybrid Probabilistic Inference
IJCAI 2019
Marginal Inference in Continuous Markov Random Fields Using Mixtures
AAAI 2019
One-Shot Marginal MAP Inference in Markov Random Fields
UAI 2019
A Lower Bound on the Partition Function of Attractive Graphical Models in the Continuous Case
AISTATS 2017
Efficient Inference for Untied MLNs
IJCAI 2017
Sparse Approximate Conic Hulls
NeurIPS 2017
Bethe Learning of Graphical Models via MAP Decoding
AISTATS 2016
Exactness of Approximate MAP Inference in Continuous MRFs
NeurIPS 2015
Making Pairwise Binary Graphical Models Attractive
NeurIPS 2014
Message-Passing Algorithms for Quadratic Minimization
JMLR 2013
The Bethe Partition Function of Log-supermodular Graphical Models
NeurIPS 2012