Nicholas Ruozzi
24 papers · 2012–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (9) π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (16) π Interdisciplinary Bridge π Academic Marathon (13)
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Academic Marathon
(13)
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(15)
π
Renaissance Researcher
(7)
πΊ
Lone Wolf
(3)
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Keyword Champion
π₯
Unstoppable
(7)
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Conference Pioneer
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Century Club
(23)
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Keyword Collector
(99)
Conferences
AISTATS (6)
NIPS (6)
IJCAI (4)
AAAI (2)
UAI (2)
ICCV (1)
ICML (1)
JMLR (1)
RSS (1)
Top co-authors
Keywords
graphical model
(8)
variational inference
(6)
markov random field
(5)
partition function
(5)
belief propagation
(5)
approximate inference
(4)
structured prediction
(3)
lifted inference
(3)
probabilistic inference
(3)
graph cover
(2)
markov logic network
(2)
maximum likelihood estimation
(2)
cutset network
(2)
neural network
(2)
message passing
(2)
map inference
(2)
bethe approximation
(2)
probabilistic graphical model
(2)
video segmentation
(1)
density estimation
(1)
Papers
A Novel Approach to Evaluating Evaluation Metrics for Multi-Output Structured Prediction
AAAI 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
NIPS 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
NIPS 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
Marginal Inference in Continuous Markov Random Fields Using Mixtures
AAAI 2019
Correlated Variational Auto-Encoders
ICML 2019
Lifted Message Passing for Hybrid Probabilistic Inference
IJCAI 2019
One-Shot Marginal MAP Inference in Markov Random Fields
UAI 2019
Sparse Approximate Conic Hulls
NIPS 2017
Efficient Inference for Untied MLNs
IJCAI 2017
A Lower Bound on the Partition Function of Attractive Graphical Models in the Continuous Case
AISTATS 2017
Bethe Learning of Graphical Models via MAP Decoding
AISTATS 2016
Exactness of Approximate MAP Inference in Continuous MRFs
NIPS 2015
Making Pairwise Binary Graphical Models Attractive
NIPS 2014
Message-Passing Algorithms for Quadratic Minimization
JMLR 2013
The Bethe Partition Function of Log-supermodular Graphical Models
NIPS 2012