Radu Marinescu
31 papers · 2015–2026 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (46) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Keyword Champion
(8)
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Keyword Pioneer
π§¬
Topic Evolution
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Deep Specialist
(12)
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Century Club Β· Bronze
π₯
Unstoppable Β· Silver
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Conference Pioneer
β‘
Prolific Year Β· Productive
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Renaissance Researcher
(6)
ποΈ
Keyword Collector
(122)
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Trend Setter
Top co-authors
Research topics
Artificial Intelligence
(25)
Machine Learning
(22)
Core AI
(20)
Optimization & Theory
(16)
Bayesian & Probabilistic Β· Artificial Intelligence
(12)
Mathematics & Optimization
(8)
Bayesian & Probabilistic Β· Machine Learning
(8)
Optimization
(8)
Computer Science
(4)
Core Methods
(4)
Knowledge & Reasoning
(3)
Natural Language Processing
(3)
Applications
(3)
Foundations
(3)
Learning Types
(3)
Keywords
marginal map
(8)
graphical model
(8)
bayesian network
(5)
influence diagram
(4)
best-first search
(4)
large language model
(4)
and/or search
(4)
probabilistic inference
(3)
credal network
(3)
and or search
(3)
exact inference
(3)
approximate inference
(3)
maximum expected utility
(3)
hyperparameter optimization
(3)
probabilistic graphical model
(2)
anytime algorithm
(2)
belief propagation
(2)
branch and bound
(2)
map inference
(2)
heuristic search
(2)
Papers
AutoTuneX: Interactive Automated Fine-Tuning for Large Language Models
AAAI 2026
FactCorrector: A Graph-Inspired Approach to Long-Form Factuality Correction of Large Language Models
ACL 2026
FactReasoner: A Probabilistic Approach to Long-Form Factuality Assessment for Large Language Models
EMNLP 2025
SIMBA UQ: Similarity-Based Aggregation for Uncertainty Quantification in Large Language Models
EMNLP 2025
The Consistency Hypothesis in Uncertainty Quantification for Large Language Models
UAI 2025
Abductive Reasoning in Logical Credal Networks
NeurIPS 2024
WikiContradict: A Benchmark for Evaluating LLMs on Real-World Knowledge Conflicts from Wikipedia
NeurIPS 2024
An Ensemble Approach for Automated Theorem Proving Based on Efficient Name Invariant Graph Neural Representations
IJCAI 2023
Approximate Inference in Logical Credal Networks
IJCAI 2023
Boosting AND/OR-based computational protein design: dynamic heuristics and generalizable UFO
UAI 2023
Credal Marginal MAP
NeurIPS 2023
AND/OR branch-and-bound for computational protein design optimizing K*
UAI 2022
Bandit Limited Discrepancy Search and Application to Machine Learning Pipeline Optimization
AAAI 2022
Finding Sub-task Structure with Natural Language Instruction
ACL 2022
Hedging as Reward Augmentation in Probabilistic Graphical Models
NeurIPS 2022
Logical Credal Networks
NeurIPS 2022
A New Bounding Scheme for Influence Diagrams
AAAI 2021
Learning the Parameters of Bayesian Networks from Uncertain Data
AAAI 2021
Searching for Machine Learning Pipelines Using a Context-Free Grammar
AAAI 2021
Submodel Decomposition Bounds for Influence Diagrams
AAAI 2021
Parallel AND/OR Search for Marginal MAP
AAAI 2020
Anytime Recursive Best-First Search for Bounding Marginal MAP
AAAI 2019
A Weighted Mini-Bucket Bound for Solving Influence Diagram
UAI 2019
Counting the Optimal Solutions in Graphical Models
NeurIPS 2019
Depth-First Memory-Limited AND/OR Search and Unsolvability in Cyclic Search Spaces
IJCAI 2019
From Stochastic Planning to Marginal MAP
NeurIPS 2018
Stochastic Anytime Search for Bounding Marginal MAP
IJCAI 2018
Efficient Optimal Search under Expensive Edge Cost Computation
IJCAI 2017
Computing Possibly Optimal Solutions for Multi-Objective Constraint Optimisation with Tradeoffs
IJCAI 2015
Parallel Recursive Best-First AND/OR Search for Exact MAP Inference in Graphical Models
NeurIPS 2015
Pushing Forward Marginal MAP with Best-First Search
IJCAI 2015