Marinescu, Radu

46 publications

TMLR 2025 AT4TS : Autotune for Time Series Foundation Models Shivani Tomar, Seshu Tirupathi, Radu Marinescu, Elizabeth M. Daly, Ivana Dusparic
ICLRW 2025 Assessing Confidence in Large Language Models by Classifying Task Correctness Using Similarity Features Debarun Bhattacharjya, Balaji Ganesan, Junkyu Lee, Radu Marinescu
ISIPTA 2025 Dealing with Cycles in Graph-Based Probabilistic Models: The Case of Logical Credal Networks Fabio G. Cozman, Radu Marinescu, Junkyu Lee, Alexander Gray, Denis D. Mauá
UAI 2025 The Consistency Hypothesis in Uncertainty Quantification for Large Language Models Quan Xiao, Debarun Bhattacharjya, Balaji Ganesan, Radu Marinescu, Katya Mirylenka, Nhan H Pham, Michael Glass, Junkyu Lee
NeurIPS 2024 Abductive Reasoning in Logical Credal Networks Radu Marinescu, Junkyu Lee, Debarun Bhattacharjya, Fabio Cozman, Alexander Gray
NeurIPS 2024 WikiContradict: A Benchmark for Evaluating LLMs on Real-World Knowledge Conflicts from Wikipedia Yufang Hou, Alessandra Pascale, Javier Carnerero-Cano, Tigran Tchrakian, Radu Marinescu, Elizabeth Daly, Inkit Padhi, Prasanna Sattigeri
IJCAI 2023 An Ensemble Approach for Automated Theorem Proving Based on Efficient Name Invariant Graph Neural Representations Achille Fokoue, Ibrahim Abdelaziz, Maxwell Crouse, Shajith Ikbal, Akihiro Kishimoto, Guilherme Lima, Ndivhuwo Makondo, Radu Marinescu
IJCAI 2023 Approximate Inference in Logical Credal Networks Radu Marinescu, Haifeng Qian, Alexander G. Gray, Debarun Bhattacharjya, Francisco Barahona, Tian Gao, Ryan Riegel
UAI 2023 Boosting AND/OR-Based Computational Protein Design: Dynamic Heuristics and Generalizable UFO Bobak Pezeshki, Radu Marinescu, Alexander Ihler, Rina Dechter
NeurIPS 2023 Credal Marginal MAP Radu Marinescu, Debarun Bhattacharjya, Junkyu Lee, Fabio Cozman, Alexander G. Gray
UAI 2022 AND/OR Branch-and-Bound for Computational Protein Design Optimizing K* Bobak Pezeshki, Radu Marinescu, Alexander Ihler, Rina Dechter
AAAI 2022 Bandit Limited Discrepancy Search and Application to Machine Learning Pipeline Optimization Akihiro Kishimoto, Djallel Bouneffouf, Radu Marinescu, Parikshit Ram, Ambrish Rawat, Martin Wistuba, Paulito P. Palmes, Adi Botea
NeurIPS 2022 Hedging as Reward Augmentation in Probabilistic Graphical Models Debarun Bhattacharjya, Radu Marinescu
NeurIPS 2022 Logical Credal Networks Radu Marinescu, Haifeng Qian, Alexander G. Gray, Debarun Bhattacharjya, Francisco Barahona, Tian Gao, Ryan Riegel, Pravinda Sahu
AAAI 2021 A New Bounding Scheme for Influence Diagrams Radu Marinescu, Junkyu Lee, Rina Dechter
ICMLW 2021 Bandit Limited Discrepancy Search and Application to Machine Learning Pipeline Optimization Akihiro Kishimoto, Djallel Bouneffouf, Radu Marinescu, Parikshit Ram, Ambrish Rawat, Martin Wistuba, Paulito Pedregosa Palmes, Adi Botea
AAAI 2021 Learning the Parameters of Bayesian Networks from Uncertain Data Segev Wasserkrug, Radu Marinescu, Sergey Zeltyn, Evgeny Shindin, Yishai A. Feldman
AAAI 2021 Searching for Machine Learning Pipelines Using a Context-Free Grammar Radu Marinescu, Akihiro Kishimoto, Parikshit Ram, Ambrish Rawat, Martin Wistuba, Paulito P. Palmes, Adi Botea
AAAI 2021 Submodel Decomposition Bounds for Influence Diagrams Junkyu Lee, Radu Marinescu, Rina Dechter
AAAI 2020 Parallel AND/OR Search for Marginal MAP Radu Marinescu, Akihiro Kishimoto, Adi Botea
UAI 2019 A Weighted Mini-Bucket Bound for Solving Influence Diagram Junkyu Lee, Radu Marinescu, Alexander Ihler, Rina Dechter
AAAI 2019 Anytime Recursive Best-First Search for Bounding Marginal MAP Radu Marinescu, Akihiro Kishimoto, Adi Botea, Rina Dechter, Alexander Ihler
NeurIPS 2019 Counting the Optimal Solutions in Graphical Models Radu Marinescu, Rina Dechter
IJCAI 2019 Depth-First Memory-Limited AND/OR Search and Unsolvability in Cyclic Search Spaces Akihiro Kishimoto, Adi Botea, Radu Marinescu
JAIR 2018 AND/OR Search for Marginal MAP Radu Marinescu, Junkyu Lee, Rina Dechter, Alexander Ihler
NeurIPS 2018 From Stochastic Planning to Marginal MAP Hao Cui, Radu Marinescu, Roni Khardon
IJCAI 2018 Stochastic Anytime Search for Bounding Marginal MAP Radu Marinescu, Rina Dechter, Alexander Ihler
AAAI 2017 Anytime Best+Depth-First Search for Bounding Marginal MAP Radu Marinescu, Junkyu Lee, Alexander Ihler, Rina Dechter
IJCAI 2017 Efficient Optimal Search Under Expensive Edge Cost Computation Masataro Asai, Akihiro Kishimoto, Adi Botea, Radu Marinescu, Elizabeth M. Daly, Spyros Kotoulas
AAAI 2017 Multi-Objective Influence Diagrams with Possibly Optimal Policies Radu Marinescu, Abdul Razak, Nic Wilson
AAAI 2016 From Exact to Anytime Solutions for Marginal MAP Junkyu Lee, Radu Marinescu, Rina Dechter, Alexander Ihler
JAIR 2016 Searching for the M Best Solutions in Graphical Models Natalia Flerova, Radu Marinescu, Rina Dechter
IJCAI 2015 Computing Possibly Optimal Solutions for Multi-Objective Constraint Optimisation with Tradeoffs Nic Wilson, Abdul Razak, Radu Marinescu
NeurIPS 2015 Parallel Recursive Best-First AND/OR Search for Exact MAP Inference in Graphical Models Akihiro Kishimoto, Radu Marinescu, Adi Botea
IJCAI 2015 Pushing Forward Marginal MAP with Best-First Search Radu Marinescu, Rina Dechter, Alexander Ihler
UAI 2014 AND/OR Search for Marginal MAP Radu Marinescu, Rina Dechter, Alexander Ihler
UAI 2014 Recursive Best-First AND/OR Search for Optimization in Graphical Models Akihiro Kishimoto, Radu Marinescu
UAI 2012 Multi-Objective Influence Diagrams Radu Marinescu, Abdul Razak, Nic Wilson
AAAI 2012 Search Algorithms for M Best Solutions for Graphical Models Rina Dechter, Natalia Flerova, Radu Marinescu
UAI 2011 Order-of-Magnitude Influence Diagrams Radu Marinescu, Nic Wilson
JAIR 2008 AND/OR Multi-Valued Decision Diagrams (AOMDDs) for Graphical Models Robert Mateescu, Rina Dechter, Radu Marinescu
AAAI 2007 Best-First AND/OR Search for Graphical Models Radu Marinescu, Rina Dechter
UAI 2007 Best-First AND/OR Search for Most Probable Explanations Radu Marinescu, Rina Dechter
AAAI 2006 Memory Intensive Branch-and-Bound Search for Graphical Models Radu Marinescu, Rina Dechter
IJCAI 2005 AND/OR Branch-and-Bound for Graphical Models Radu Marinescu, Rina Dechter
UAI 2003 Systematic vs. Non-Systematic Algorithms for Solving the MPE Task Radu Marinescu, Kalev Kask, Rina Dechter