← Authors

Radu Marinescu

30 papers · 2015–2026 · 6 conferences · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (8) πŸƒ Academic Marathon (10) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (15) πŸ—ΊοΈ Taxonomy Completionist (50) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (6) 🧬 Topic Evolution πŸ”¬ Deep Specialist (12) πŸ† Keyword Champion (8) πŸ—ƒοΈ Keyword Collector (114) πŸš€ Conference Pioneer πŸ’Ž Century Club (29) πŸ”₯ Unstoppable (9) ⚑ Prolific Year (5)

Conferences

AAAI (8) NIPS (8) IJCAI (7) UAI (4) EMNLP (2) ACL (1)

Top co-authors

Akihiro Kishimoto (9) Rina Dechter (9) Debarun Bhattacharjya (8) Junkyu Lee (8) Adi Botea (7) Alexander Ihler (6) Yufang Hou (3) Michael Glass (2) Balaji Ganesan (2) Alexander Gray (2)

Keywords

marginal map (8) graphical model (8) bayesian network (5) influence diagram (4) and/or search (4) probabilistic inference (3) best-first search (3) approximate inference (3) and or search (3) exact inference (3) maximum expected utility (3) hyperparameter optimization (3) large language model (3) credal network (3) anytime algorithm (2) belief propagation (2) probabilistic graphical model (2) search algorithm (2) branch and bound (2) variable elimination (2)

Papers

AutoTuneX: Interactive Automated Fine-Tuning for Large Language Models AAAI 2026
FactReasoner: A Probabilistic Approach to Long-Form Factuality Assessment for Large Language Models EMNLP 2025
The Consistency Hypothesis in Uncertainty Quantification for Large Language Models UAI 2025
SIMBA UQ: Similarity-Based Aggregation for Uncertainty Quantification in Large Language Models EMNLP 2025
Abductive Reasoning in Logical Credal Networks NIPS 2024
WikiContradict: A Benchmark for Evaluating LLMs on Real-World Knowledge Conflicts from Wikipedia NIPS 2024
Approximate Inference in Logical Credal Networks IJCAI 2023
Credal Marginal MAP NIPS 2023
Boosting AND/OR-based computational protein design: dynamic heuristics and generalizable UFO UAI 2023
An Ensemble Approach for Automated Theorem Proving Based on Efficient Name Invariant Graph Neural Representations IJCAI 2023
Finding Sub-task Structure with Natural Language Instruction ACL 2022
Logical Credal Networks NIPS 2022
Hedging as Reward Augmentation in Probabilistic Graphical Models NIPS 2022
Bandit Limited Discrepancy Search and Application to Machine Learning Pipeline Optimization AAAI 2022
AND/OR branch-and-bound for computational protein design optimizing K* UAI 2022
Searching for Machine Learning Pipelines Using a Context-Free Grammar AAAI 2021
A New Bounding Scheme for Influence Diagrams AAAI 2021
Submodel Decomposition Bounds for Influence Diagrams AAAI 2021
Learning the Parameters of Bayesian Networks from Uncertain Data AAAI 2021
Parallel AND/OR Search for Marginal MAP AAAI 2020
Counting the Optimal Solutions in Graphical Models NIPS 2019
Depth-First Memory-Limited AND/OR Search and Unsolvability in Cyclic Search Spaces IJCAI 2019
A Weighted Mini-Bucket Bound for Solving Influence Diagram UAI 2019
Anytime Recursive Best-First Search for Bounding Marginal MAP AAAI 2019
From Stochastic Planning to Marginal MAP NIPS 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
Pushing Forward Marginal MAP with Best-First Search IJCAI 2015
Parallel Recursive Best-First AND/OR Search for Exact MAP Inference in Graphical Models NIPS 2015