Radu Marinescu

104 papers A* 30A 22B 6Misc 2Journal 34Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	AutoTuneX: Interactive Automated Fine-Tuning for Large Language Models. AAAI Daniel Karl I. Weidele, Priyanshu Rai, Frederico Araujo, Teryl Taylor, Radu Marinescu
2026	J	`jnl`	FactCorrector: A Graph-Inspired Approach to Long-Form Factuality Correction of Large Language Models. CoRR Javier Carnerero-Cano, Massimiliano Pronesti, Radu Marinescu, Tigran T. Tchrakian, James Barry, Jasmina Gajcin, Yufang Hou, Alessandra Pascale, Elizabeth Daly
2025	J	`jnl`	AT4TS : Autotune for Time Series Foundation Models. Trans. Mach. Learn. Res. Shivani Tomar, Seshu Tirupathi, Radu Marinescu, Elizabeth M. Daly, Ivana Dusparic
2025	—	`conf`	Dealing with cycles in graph-based probabilistic models: the case of Logical Credal Networks. ISIPTA Fábio G. Cozman, Radu Marinescu, Junkyu Lee, Alexander Gray, Denis Deratani Mauá
2025	—	`conf`	FactReasoner: A Probabilistic Approach to Long-Form Factuality Assessment for Large Language Models. EMNLP (Findings) Radu Marinescu, Debarun Bhattacharjya, Junkyu Lee, Tigran T. Tchrakian, Javier Carnerero-Cano, Yufang Hou, Elizabeth M. Daly, Alessandra Pascale
2025	J	`jnl`	FactReasoner: A Probabilistic Approach to Long-Form Factuality Assessment for Large Language Models. CoRR Radu Marinescu, Debarun Bhattacharjya, Junkyu Lee, Tigran T. Tchrakian, Javier Carnerero-Cano, Yufang Hou, Elizabeth Daly, Alessandra Pascale
2025	J	`jnl`	Interpreting LLM-as-a-Judge Policies via Verifiable Global Explanations. CoRR Jasmina Gajcin, Erik Miehling, Rahul Nair, Elizabeth Daly, Radu Marinescu, Seshu Tirupathi
2025	J	`jnl`	Multilinear and Linear Programs for Partially Identifiable Queries in Quasi-Markovian Structural Causal Models. CoRR João P. Arroyo, João G. Rodrigues, Daniel Angelo Esteves Lawand, Denis Deratani Mauá, Junkyu Lee, Radu Marinescu, Alexander G. Gray, Eduardo R. Laurentino, Fábio G. Cozman
2025	A	`conf`	Optimistic Exploration for Risk-Averse Constrained Reinforcement Learning. ECAI James McCarthy, Radu Marinescu, Elizabeth Daly, Ivana Dusparic
2025	J	`jnl`	Optimistic Exploration for Risk-Averse Constrained Reinforcement Learning. CoRR James McCarthy, Radu Marinescu, Elizabeth Daly, Ivana Dusparic
2025	—	`conf`	SIMBA UQ: Similarity-Based Aggregation for Uncertainty Quantification in Large Language Models. EMNLP (Findings) Debarun Bhattacharjya, Balaji Ganesan, Junkyu Lee, Radu Marinescu, Katsiaryna Mirylenka, Michael R. Glass, Xiao Shou
2025	J	`jnl`	SIMBA UQ: Similarity-Based Aggregation for Uncertainty Quantification in Large Language Models. CoRR Debarun Bhattacharjya, Balaji Ganesan, Junkyu Lee, Radu Marinescu, Katsiaryna Mirylenka, Michael R. Glass, Xiao Shou
2025	A	`conf`	The Consistency Hypothesis in Uncertainty Quantification for Large Language Models. UAI Quan Xiao, Debarun Bhattacharjya, Balaji Ganesan, Radu Marinescu, Katsiaryna Mirylenka, Nhan H. Pham, Michael R. Glass, Junkyu Lee
2025	J	`jnl`	The Consistency Hypothesis in Uncertainty Quantification for Large Language Models. CoRR Quan Xiao, Debarun Bhattacharjya, Balaji Ganesan, Radu Marinescu, Katsiaryna Mirylenka, Nhan H. Pham, Michael R. Glass, Junkyu Lee
2024	A*	`conf`	Abductive Reasoning in Logical Credal Networks. NeurIPS Radu Marinescu, Junkyu Lee, Debarun Bhattacharjya, Fábio G. Cozman, Alexander G. Gray
2024	J	`jnl`	Foundation Model Sherpas: Guiding Foundation Models through Knowledge and Reasoning. CoRR Debarun Bhattacharjya, Junkyu Lee, Don Joven Agravante, Balaji Ganesan, Radu Marinescu
2024	J	`jnl`	Markov conditions and factorization in logical credal networks. Int. J. Approx. Reason. Fábio G. Cozman, Radu Marinescu, Junkyu Lee, Alexander G. Gray, Ryan Riegel, Debarun Bhattacharjya
2024	A*	`conf`	WikiContradict: A Benchmark for Evaluating LLMs on Real-World Knowledge Conflicts from Wikipedia. NeurIPS Yufang Hou, Alessandra Pascale, Javier Carnerero-Cano, Tigran T. Tchrakian, Radu Marinescu, Elizabeth Daly, Inkit Padhi, Prasanna Sattigeri
2024	J	`jnl`	WikiContradict: A Benchmark for Evaluating LLMs on Real-World Knowledge Conflicts from Wikipedia. CoRR Yufang Hou, Alessandra Pascale, Javier Carnerero-Cano, Tigran T. Tchrakian, Radu Marinescu, Elizabeth Daly, Inkit Padhi, Prasanna Sattigeri
2023	A*	`conf`	An Ensemble Approach for Automated Theorem Proving Based on Efficient Name Invariant Graph Neural Representations. IJCAI Achille Fokoue, Ibrahim Abdelaziz, Maxwell Crouse, Shajith Ikbal, Akihiro Kishimoto, Guilherme Lima, Ndivhuwo Makondo, Radu Marinescu
2023	J	`jnl`	An Ensemble Approach for Automated Theorem Proving Based on Efficient Name Invariant Graph Neural Representations. CoRR Achille Fokoue, Ibrahim Abdelaziz, Maxwell Crouse, Shajith Ikbal, Akihiro Kishimoto, Guilherme Lima, Ndivhuwo Makondo, Radu Marinescu
2023	A*	`conf`	Approximate Inference in Logical Credal Networks. IJCAI Radu Marinescu, Haifeng Qian, Alexander G. Gray, Debarun Bhattacharjya, Francisco Barahona, Tian Gao, Ryan Riegel
2023	A	`conf`	AutoDOViz: Human-Centered Automation for Decision Optimization. IUI Daniel Karl I. Weidele, Shazia Afzal, Abel N. Valente, Cole Makuch, Owen Cornec, Long Vu, Dharmashankar Subramanian, Werner Geyer, Rahul Nair, Inge Vejsbjerg, Radu Marinescu, Paulito P. Palmes, Elizabeth M. Daly, Loraine Franke, Daniel Haehn
2023	J	`jnl`	AutoDOViz: Human-Centered Automation for Decision Optimization. CoRR Daniel Karl I. Weidele, Shazia Afzal, Abel N. Valente, Cole Makuch, Owen Cornec, Long Vu, Dharmashankar Subramanian, Werner Geyer, Rahul Nair, Inge Vejsbjerg, Radu Marinescu, Paulito P. Palmes, Elizabeth M. Daly, Loraine Franke, Daniel Haehn
2023	J	`jnl`	Boosting AND/OR-Based Computational Protein Design: Dynamic Heuristics and Generalizable UFO. CoRR Bobak Pezeshki, Radu Marinescu, Alexander Ihler, Rina Dechter
2023	A	`conf`	Boosting AND/OR-based computational protein design: dynamic heuristics and generalizable UFO. UAI Bobak Pezeshki, Radu Marinescu, Alexander Ihler, Rina Dechter
2023	A*	`conf`	Credal Marginal MAP. NeurIPS Radu Marinescu, Debarun Bhattacharjya, Junkyu Lee, Fábio G. Cozman, Alexander G. Gray
2023	A	`conf`	Iterative Reward Shaping Using Human Feedback for Correcting Reward Misspecification. ECAI Jasmina Gajcin, James McCarthy, Rahul Nair, Radu Marinescu, Elizabeth Daly, Ivana Dusparic
2023	J	`jnl`	Iterative Reward Shaping using Human Feedback for Correcting Reward Misspecification. CoRR Jasmina Gajcin, James McCarthy, Rahul Nair, Radu Marinescu, Elizabeth Daly, Ivana Dusparic
2022	A	`conf`	AND/OR branch-and-bound for computational protein design optimizing K. UAI Bobak Pezeshki, Radu Marinescu, Alexander Ihler, Rina Dechter
2022	A*	`conf`	Bandit Limited Discrepancy Search and Application to Machine Learning Pipeline Optimization. AAAI Akihiro Kishimoto, Djallel Bouneffouf, Radu Marinescu, Parikshit Ram, Ambrish Rawat, Martin Wistuba, Paulito P. Palmes, Adi Botea
2022	J	`jnl`	Boolean Decision Rules for Reinforcement Learning Policy Summarisation. CoRR James McCarthy, Rahul Nair, Elizabeth Daly, Radu Marinescu, Ivana Dusparic
2022	A*	`conf`	Hedging as Reward Augmentation in Probabilistic Graphical Models. NeurIPS Debarun Bhattacharjya, Radu Marinescu
2022	A*	`conf`	Logical Credal Networks. NeurIPS Radu Marinescu, Haifeng Qian, Alexander G. Gray, Debarun Bhattacharjya, Francisco Barahona, Tian Gao, Ryan Riegel, Pravinda Sahu
2021	A*	`conf`	A New Bounding Scheme for Influence Diagrams. AAAI Radu Marinescu, Junkyu Lee, Rina Dechter
2021	J	`jnl`	Contrastive Explanations for Comparing Preferences of Reinforcement Learning Agents. CoRR Jasmina Gajcin, Rahul Nair, Tejaswini Pedapati, Radu Marinescu, Elizabeth Daly, Ivana Dusparic
2021	B	`conf`	Counting Vertex-Disjoint Shortest Paths in Graphs. SOCS Adi Botea, Massimiliano Mattetti, Akihiro Kishimoto, Radu Marinescu, Elizabeth Daly
2021	J	`jnl`	Designing Machine Learning Pipeline Toolkit for AutoML Surrogate Modeling Optimization. CoRR Paulito P. Palmes, Akihiro Kishimoto, Radu Marinescu, Parikshit Ram, Elizabeth Daly
2021	A*	`conf`	Learning the Parameters of Bayesian Networks from Uncertain Data. AAAI Segev Wasserkrug, Radu Marinescu, Sergey Zeltyn, Evgeny Shindin, Yishai A. Feldman
2021	J	`jnl`	Logical Credal Networks. CoRR Haifeng Qian, Radu Marinescu, Alexander G. Gray, Debarun Bhattacharjya, Francisco Barahona, Tian Gao, Ryan Riegel, Pravinda Sahu
2021	A*	`conf`	Searching for Machine Learning Pipelines Using a Context-Free Grammar. AAAI Radu Marinescu, Akihiro Kishimoto, Parikshit Ram, Ambrish Rawat, Martin Wistuba, Paulito P. Palmes, Adi Botea
2021	A*	`conf`	Submodel Decomposition Bounds for Influence Diagrams. AAAI Junkyu Lee, Radu Marinescu, Rina Dechter
2020	J	`jnl`	An axiomatic framework for influence diagram computation with partially ordered preferences. Int. J. Approx. Reason. Nic Wilson, Radu Marinescu
2020	B	`conf`	Heuristic AND/OR Search for Solving Influence Diagram. SOCS Junkyu Lee, Radu Marinescu, Rina Dechter
2020	A*	`conf`	Parallel AND/OR Search for Marginal MAP. AAAI Radu Marinescu, Akihiro Kishimoto, Adi Botea
2020	A	`conf`	The Challenge of Optimal Paths in Graphs with Item Sets. ECAI Adi Botea, Akihiro Kishimoto, Radu Marinescu, Elizabeth M. Daly, Oznur Alkan
2019	A	`conf`	A Weighted Mini-Bucket Bound for Solving Influence Diagram. UAI Junkyu Lee, Radu Marinescu, Alexander Ihler, Rina Dechter
2019	A*	`conf`	Anytime Recursive Best-First Search for Bounding Marginal MAP. AAAI Radu Marinescu, Akihiro Kishimoto, Adi Botea, Rina Dechter, Alexander Ihler
2019	A*	`conf`	Counting the Optimal Solutions in Graphical Models. NeurIPS Radu Marinescu, Rina Dechter
2019	A*	`conf`	Depth-First Memory-Limited AND/OR Search and Unsolvability in Cyclic Search Spaces. IJCAI Akihiro Kishimoto, Adi Botea, Radu Marinescu
2019	J	`jnl`	Generating Dialogue Agents via Automated Planning. CoRR Adi Botea, Christian Muise, Shubham Agarwal, Oznur Alkan, Ondrej Bajgar, Elizabeth Daly, Akihiro Kishimoto, Luis A. Lastras, Radu Marinescu, Josef Ondrej, Pablo Pedemonte, Miroslav Vodolán
2018	J	`jnl`	AND/OR Search for Marginal MAP. J. Artif. Intell. Res. Radu Marinescu, Junkyu Lee, Rina Dechter, Alexander Ihler
2018	A*	`conf`	From Stochastic Planning to Marginal MAP. NeurIPS Hao Cui, Radu Marinescu, Roni Khardon
2018	B	`conf`	On the Complexity of Quantum Circuit Compilation. SOCS Adi Botea, Akihiro Kishimoto, Radu Marinescu
2018	A*	`conf`	Stochastic Anytime Search for Bounding Marginal MAP. IJCAI Radu Marinescu, Rina Dechter, Alexander Ihler
2017	A*	`conf`	Anytime Best+Depth-First Search for Bounding Marginal MAP. AAAI Radu Marinescu, Junkyu Lee, Alexander Ihler, Rina Dechter
2017	A*	`conf`	Efficient Optimal Search under Expensive Edge Cost Computation. IJCAI Masataro Asai, Akihiro Kishimoto, Adi Botea, Radu Marinescu, Elizabeth M. Daly, Spyros Kotoulas
2017	A*	`conf`	Multi-Objective Influence Diagrams with Possibly Optimal Policies. AAAI Radu Marinescu, Abdul Razak, Nic Wilson
2017	J	`jnl`	Weighted heuristic anytime search: new schemes for optimization over graphical models. Ann. Math. Artif. Intell. Natalia Flerova, Radu Marinescu, Rina Dechter
2016	Misc	`conf`	Applying Search Based Probabilistic Inference Algorithms to Probabilistic Conformant Planning: Preliminary Results. ISAIM Junkyu Lee, Radu Marinescu, Rina Dechter
2016	A*	`conf`	From Exact to Anytime Solutions for Marginal MAP. AAAI Junkyu Lee, Radu Marinescu, Rina Dechter, Alexander Ihler
2016	A	`conf`	Scalable Exact MAP Inference in Graphical Models. ECAI Radu Marinescu, Akihiro Kishimoto, Adi Botea
2016	J	`jnl`	Searching for the M Best Solutions in Graphical Models. J. Artif. Intell. Res. Natalia Flerova, Radu Marinescu, Rina Dechter
2016	—	`conf`	Service Bundle Recommendation for Person-Centered Care Planning in Cities. MIE Spyros Kotoulas, Elizabeth Daly, Pierpaolo Tommasi, Akihiro Kishimoto, Vanessa López, Martin Stephenson, Adi Botea, Marco Luca Sbodio, Radu Marinescu, Ronan Rooney
2015	A*	`conf`	Computing Possibly Optimal Solutions for Multi-Objective Constraint Optimisation with Tradeoffs. IJCAI Nic Wilson, Abdul Razak, Radu Marinescu
2015	—	`conf`	Parallel Recursive Best-First AND/OR Search for Exact MAP Inference in Graphical Models. NIPS Akihiro Kishimoto, Radu Marinescu, Adi Botea
2015	A*	`conf`	Pushing Forward Marginal MAP with Best-First Search. IJCAI Radu Marinescu, Rina Dechter, Alexander Ihler
2014	J	`jnl`	AND/OR Multi-Valued Decision Diagrams (AOMDDs) for Graphical Models. CoRR Robert Mateescu, Rina Dechter, Radu Marinescu
2014	A	`conf`	AND/OR Search for Marginal MAP. UAI Radu Marinescu, Rina Dechter, Alexander Ihler
2014	—	`conf`	Applying Marginal MAP Search to Probabilistic Conformant Planning: Initial Results. StarAI@AAAI Junkyu Lee, Radu Marinescu, Rina Dechter
2014	B	`conf`	Evaluating Weighted DFS Branch and Bound over Graphical Models. SOCS Natalia Flerova, Radu Marinescu, Rina Dechter
2014	A	`conf`	Multi-criteria journey aware housing recommender system. RecSys Elizabeth M. Daly, Adi Botea, Akihiro Kishimoto, Radu Marinescu
2014	A	`conf`	Recursive Best-First AND/OR Search for Optimization in Graphical Models. UAI Akihiro Kishimoto, Radu Marinescu
2014	J	`jnl`	Unified framework and toolkit for commerce optimization under uncertainty. IBM J. Res. Dev. Ban Kawas, Ali Koc, Marco Laumanns, Chungmok Lee, Radu Marinescu, Martin Mevissen, Nicole Taheri, Susara Van den Heever, Rudi Verago
2014	Misc	`conf`	Weighted Best First Search for Graphical Models. ISAIM Natalia Flerova, Radu Marinescu, Rina Dechter
2013	A	`conf`	Multi-Objective Constraint Optimization with Tradeoffs. CP Radu Marinescu, Abdul Razak, Nic Wilson
2012	A*	`conf`	An Axiomatic Framework for Influence Diagram Computation with Partially Ordered Utilities. KR Nic Wilson, Radu Marinescu
2012	J	`jnl`	Best-First AND/OR Search for Most Probable Explanations CoRR Radu Marinescu, Rina Dechter
2012	J	`jnl`	Multi-objective Influence Diagrams CoRR Radu Marinescu, Abdul Razak, Nic Wilson
2012	A	`conf`	Multi-objective Influence Diagrams. UAI Radu Marinescu, Abdul Razak, Nic Wilson
2012	J	`jnl`	Order-of-Magnitude Influence Diagrams CoRR Radu Marinescu, Nic Wilson
2012	A*	`conf`	Search Algorithms for m Best Solutions for Graphical Models. AAAI Rina Dechter, Natalia Flerova, Radu Marinescu
2012	J	`jnl`	Systematic vs. Non-systematic Algorithms for Solving the MPE Task CoRR Radu Marinescu, Kalev Kask, Rina Dechter
2011	—	`conf`	Efficient Approximation Algorithms for Multi-objective Constraint Optimization. ADT Radu Marinescu
2011	A	`conf`	Order-of-Magnitude Influence Diagrams. UAI Radu Marinescu, Nic Wilson
2010	—	`conf`	Best-First vs. Depth-First AND/OR Search for Multi-objective Constraint Optimization. ICTAI (1) Radu Marinescu
2010	J	`jnl`	Evaluating the impact of AND/OR search on 0-1 integer linear programming. Constraints An Int. J. Radu Marinescu, Rina Dechter
2009	—	`conf`	A New Approach to Influence Diagrams Evaluation. SGAI Conf. Radu Marinescu
2009	J	`jnl`	AND/OR Branch-and-Bound search for combinatorial optimization in graphical models. Artif. Intell. Radu Marinescu, Rina Dechter
2009	A	`conf`	Exploiting Problem Decomposition in Multi-objective Constraint Optimization. CP Radu Marinescu
2009	J	`jnl`	Memory intensive AND/OR search for combinatorial optimization in graphical models. Artif. Intell. Radu Marinescu, Rina Dechter
2009	—	`conf`	Towards a novel early warning service for state agencies: A feasibility study. ITEE Ioannis M. Dokas, Richard J. Wallace, Radu Marinescu, Syed Imran, Franclin S. Foping
2008	J	`jnl`	AND/OR Multi-Valued Decision Diagrams (AOMDDs) for Graphical Models. J. Artif. Intell. Res. Robert Mateescu, Rina Dechter, Radu Marinescu
2008	A	`conf`	On the Practical Significance of Hypertree vs. TreeWidth. ECAI Rina Dechter, Lars Otten, Radu Marinescu
2007	A	`conf`	AND/OR Multi-valued Decision Diagrams for Constraint Optimization. CP Robert Mateescu, Radu Marinescu, Rina Dechter
2007	B	`conf`	Best-First AND/OR Search for 0/1 Integer Programming. CPAIOR Radu Marinescu, Rina Dechter
2007	A*	`conf`	Best-First AND/OR Search for Graphical Models. AAAI Radu Marinescu, Rina Dechter
2007	A	`conf`	Best-First AND/OR Search for Most Probable Explanations. UAI Radu Marinescu, Rina Dechter
2006	B	`conf`	AND/OR Branch-and-Bound Search for Pure 0/1 Integer Linear Programming Problems. CPAIOR Radu Marinescu, Rina Dechter
2006	A	`conf`	Dynamic Orderings for AND/OR Branch-and-Bound Search in Graphical Models. ECAI Radu Marinescu, Rina Dechter
2006	A*	`conf`	Memory Intensive Branch-and-Bound Search for Graphical Models. AAAI Radu Marinescu, Rina Dechter
2005	A*	`conf`	AND/OR Branch-and-Bound for Graphical Models. IJCAI Radu Marinescu, Rina Dechter
2005	A	`conf`	AND/OR Branch-and-Bound for Solving Mixed Integer Linear Programming Problems. CP Radu Marinescu, Rina Dechter
2003	A	`conf`	Systematic vs. Non-systematic Algorithms for Solving the MPE Task. UAI Radu Marinescu, Kalev Kask, Rina Dechter