


Остановите войну!
for scientists:


default search action
Adnan Darwiche
Person information

- affiliation: University of California, Los Angeles, USA
Refine list

refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
- [j42]Adnan Darwiche
, Auguste Hirth:
On the (Complete) Reasons Behind Decisions. J. Log. Lang. Inf. 32(1): 63-88 (2023) - [j41]Young Kyu Choi
, Carlos Santillana
, Yujia Shen
, Adnan Darwiche
, Jason Cong
:
FPGA Acceleration of Probabilistic Sentential Decision Diagrams with High-level Synthesis. ACM Trans. Reconfigurable Technol. Syst. 16(2): 18:1-18:22 (2023) - [c142]Haiying Huang, Adnan Darwiche:
An Algorithm and Complexity Results for Causal Unit Selection. CLeaR 2023: 1-26 - [c141]Yunqiu Han, Yizuo Chen, Adnan Darwiche:
On the Complexity of Counterfactual Reasoning. IJCAI 2023: 5676-5684 - [c140]Chunxi Ji
, Adnan Darwiche
:
A New Class of Explanations for Classifiers with Non-binary Features. JELIA 2023: 106-122 - [c139]Adnan Darwiche:
Logic for Explainable AI. LICS 2023: 1-11 - [i59]Haiying Huang, Adnan Darwiche:
An Algorithm and Complexity Results for Causal Unit Selection. CoRR abs/2302.14412 (2023) - [i58]Chunxi Ji, Adnan Darwiche:
A New Class of Explanations for Classifiers with Non-Binary Features. CoRR abs/2304.14760 (2023) - [i57]Adnan Darwiche:
Logic for Explainable AI. CoRR abs/2305.05172 (2023) - [i56]David Huber, Yizuo Chen, Alessandro Antonucci, Adnan Darwiche, Marco Zaffalon:
Tractable Bounding of Counterfactual Queries by Knowledge Compilation. CoRR abs/2310.03352 (2023) - 2022
- [c138]Adnan Darwiche, Chunxi Ji:
On the Computation of Necessary and Sufficient Explanations. AAAI 2022: 5582-5591 - [c137]Adnan Darwiche, Pierre Marquis
:
On Quantifying Literals in Boolean Logic and its Applications to Explainable AI (Extended Abstract). IJCAI 2022: 5718-5721 - [c136]Yizuo Chen, Adnan Darwiche:
On the definition and computation of causal treewidth. UAI 2022: 368-377 - [i55]Adnan Darwiche:
Causal Inference Using Tractable Circuits. CoRR abs/2202.02891 (2022) - [i54]Adnan Darwiche:
Tractable Boolean and Arithmetic Circuits. CoRR abs/2202.02942 (2022) - [i53]Adnan Darwiche, Chunxi Ji:
On the Computation of Necessary and Sufficient Explanations. CoRR abs/2203.10451 (2022) - [i52]Yunqiu Han, Yizuo Chen, Adnan Darwiche:
On the Complexity of Counterfactual Reasoning. CoRR abs/2211.13447 (2022) - 2021
- [j40]Ismail Ilkan Ceylan
, Adnan Darwiche, Guy Van den Broeck
:
Open-world probabilistic databases: Semantics, algorithms, complexity. Artif. Intell. 295: 103474 (2021) - [j39]Adnan Darwiche, Pierre Marquis
:
On Quantifying Literals in Boolean Logic and its Applications to Explainable AI. J. Artif. Intell. Res. 72: 285-328 (2021) - [c135]Haiying Huang, Adnan Darwiche:
On Recovering from Modeling Errors Using Testing Bayesian Networks. ICML 2021: 4402-4411 - [p4]Adnan Darwiche, Knot Pipatsrisawat:
Complete Algorithms. Handbook of Satisfiability 2021: 101-132 - [p3]Adnan Darwiche:
Tractable Boolean and Arithmetic Circuits. Neuro-Symbolic Artificial Intelligence 2021: 146-172 - [i51]Adnan Darwiche, Pierre Marquis:
On Quantifying Literals in Boolean Logic and Its Applications to Explainable AI. CoRR abs/2108.09876 (2021) - 2020
- [c134]Adnan Darwiche, Auguste Hirth:
On the Reasons Behind Decisions. ECAI 2020: 712-720 - [c133]Adnan Darwiche:
An Advance on Variable Elimination with Applications to Tensor-Based Computation. ECAI 2020: 2559-2568 - [c132]Weijia Shi, Andy Shih, Adnan Darwiche, Arthur Choi:
On Tractable Representations of Binary Neural Networks. KR 2020: 882-892 - [c131]Yizuo Chen, Arthur Choi, Adnan Darwiche:
Supervised Learning with Background Knowledge. PGM 2020: 89-100 - [c130]Yujia Shen, Arthur Choi, Adnan Darwiche:
A New Perspective on Learning Context-Specific Independence. PGM 2020: 425-436 - [c129]Adnan Darwiche:
Three Modern Roles for Logic in AI. PODS 2020: 229-243 - [i50]Adnan Darwiche, Auguste Hirth:
On The Reasons Behind Decisions. CoRR abs/2002.09284 (2020) - [i49]Adnan Darwiche:
An Advance on Variable Elimination with Applications to Tensor-Based Computation. CoRR abs/2002.09320 (2020) - [i48]Weijia Shi, Andy Shih, Adnan Darwiche, Arthur Choi:
On Tractable Representations of Binary Neural Networks. CoRR abs/2004.02082 (2020) - [i47]Adnan Darwiche:
Three Modern Roles for Logic in AI. CoRR abs/2004.08599 (2020) - [i46]Yujia Shen, Arthur Choi, Adnan Darwiche:
A New Perspective on Learning Context-Specific Independence. CoRR abs/2006.06896 (2020) - [i45]Arthur Choi, Andy Shih, Anchal Goyanka, Adnan Darwiche:
On Symbolically Encoding the Behavior of Random Forests. CoRR abs/2007.01493 (2020)
2010 – 2019
- 2019
- [j38]Arthur Choi, Ruocheng Wang, Adnan Darwiche:
On the relative expressiveness of Bayesian and neural networks. Int. J. Approx. Reason. 113: 303-323 (2019) - [c128]Yujia Shen, Anchal Goyanka, Adnan Darwiche, Arthur Choi:
Structured Bayesian Networks: From Inference to Learning with Routes. AAAI 2019: 7957-7965 - [c127]Andy Shih, Arthur Choi, Adnan Darwiche:
Compiling Bayesian Network Classifiers into Decision Graphs. AAAI 2019: 7966-7974 - [c126]Yujia Shen, Haiying Huang, Arthur Choi, Adnan Darwiche:
Conditional Independence in Testing Bayesian Networks. ICML 2019: 5701-5709 - [c125]Andy Shih, Adnan Darwiche, Arthur Choi:
Verifying Binarized Neural Networks by Angluin-Style Learning. SAT 2019: 354-370 - 2018
- [j37]Adnan Darwiche:
Human-level intelligence or animal-like abilities? Commun. ACM 61(10): 56-67 (2018) - [j36]Eunice Yuh-Jie Chen, Adnan Darwiche, Arthur Choi:
On pruning with the MDL Score. Int. J. Approx. Reason. 92: 363-375 (2018) - [j35]Umut Oztok, Adnan Darwiche:
An Exhaustive DPLL Algorithm for Model Counting. J. Artif. Intell. Res. 62: 1-32 (2018) - [c124]Yujia Shen, Arthur Choi, Adnan Darwiche:
Conditional PSDDs: Modeling and Learning With Modular Knowledge. AAAI 2018: 6433-6442 - [c123]Andy Shih, Arthur Choi, Adnan Darwiche:
A Symbolic Approach to Explaining Bayesian Network Classifiers. IJCAI 2018: 5103-5111 - [c122]Arthur Choi, Adnan Darwiche:
On the Relative Expressiveness of Bayesian and Neural Networks. PGM 2018: 157-168 - [c121]Andy Shih, Arthur Choi, Adnan Darwiche:
Formal Verification of Bayesian Network Classifiers. PGM 2018: 427-438 - [i44]Andy Shih, Arthur Choi, Adnan Darwiche:
A Symbolic Approach to Explaining Bayesian Network Classifiers. CoRR abs/1805.03364 (2018) - [i43]Arthur Choi, Ruocheng Wang, Adnan Darwiche:
On the Relative Expressiveness of Bayesian and Neural Networks. CoRR abs/1812.08957 (2018) - 2017
- [j34]Tiansheng Yao, Arthur Choi, Adnan Darwiche:
Learning Bayesian network parameters under equivalence constraints. Artif. Intell. 244: 239-257 (2017) - [c120]Arthur Choi, Adnan Darwiche:
On Relaxing Determinism in Arithmetic Circuits. ICML 2017: 825-833 - [c119]YooJung Choi
, Adnan Darwiche, Guy Van den Broeck
:
Optimal Feature Selection for Decision Robustness in Bayesian Networks. IJCAI 2017: 1554-1560 - [c118]Ismail Ilkan Ceylan, Adnan Darwiche, Guy Van den Broeck:
Open-World Probabilistic Databases: An Abridged Report. IJCAI 2017: 4796-4800 - [c117]Arthur Choi, Yujia Shen, Adnan Darwiche:
Tractability in Structured Probability Spaces. NIPS 2017: 3477-3485 - [c116]Yujia Shen, Arthur Choi, Adnan Darwiche:
A Tractable Probabilistic Model for Subset Selection. UAI 2017 - [i42]Adnan Darwiche:
Human-Level Intelligence or Animal-Like Abilities? CoRR abs/1707.04327 (2017) - [i41]Arthur Choi, Adnan Darwiche:
On Relaxing Determinism in Arithmetic Circuits. CoRR abs/1708.06846 (2017) - [i40]Umut Oztok, Adnan Darwiche:
On Compiling DNNFs without Determinism. CoRR abs/1709.07092 (2017) - [i39]Adnan Darwiche, Pierre Marquis, Dan Suciu, Stefan Szeider:
Recent Trends in Knowledge Compilation (Dagstuhl Seminar 17381). Dagstuhl Reports 7(9): 62-85 (2017) - 2016
- [j33]Stefano V. Albrecht, Bruno Bouchard, John S. Brownstein, David L. Buckeridge, Cornelia Caragea
, Kevin M. Carter, Adnan Darwiche, Blaz Fortuna, Yannick Francillette, Sébastien Gaboury, C. Lee Giles
, Marko Grobelnik, Estevam R. Hruschka Jr., Jeffrey O. Kephart, Parisa Kordjamshidi, Viliam Lisý, Daniele Magazzeni, João Marques-Silva, Pierre Marquis, David R. Martinez, Marek P. Michalowski, Arash Shaban-Nejad
, Zeinab Noorian, Enrico Pontelli
, Alex Rogers, Stephanie Rosenthal, Dan Roth, Arunesh Sinha
, William W. Streilein, Sylvie Thiébaux, Tran Cao Son, Byron C. Wallace, Toby Walsh, Michael Witbrock, Jie Zhang:
Reports of the 2016 AAAI Workshop Program. AI Mag. 37(3): 99-108 (2016) - [c115]Arthur Choi, Nazgol Tavabi, Adnan Darwiche:
Structured Features in Naive Bayes Classification. AAAI 2016: 3233-3240 - [c114]Adnan Darwiche, João Marques-Silva, Pierre Marquis:
Preface: The Beyond NP Workshop. AAAI Workshop: Beyond NP 2016 - [c113]Eunice Yuh-Jie Chen, Arthur Choi, Adnan Darwiche:
Enumerating Equivalence Classes of Bayesian Networks using EC Graphs. AISTATS 2016: 591-599 - [c112]Ismail Ilkan Ceylan, Adnan Darwiche, Guy Van den Broeck:
Open World Probabilistic Databases (Extended Abstract). Description Logics 2016 - [c111]Umut Oztok, Arthur Choi, Adnan Darwiche:
Solving PPPP-Complete Problems Using Knowledge Compilation. KR 2016: 94-103 - [c110]Ismail Ilkan Ceylan, Adnan Darwiche, Guy Van den Broeck:
Open-World Probabilistic Databases. KR 2016: 339-348 - [c109]Eunice Yuh-Jie Chen, Yujia Shen, Arthur Choi, Adnan Darwiche:
Learning Bayesian networks with ancestral constraints. NIPS 2016: 2325-2333 - [c108]Yujia Shen, Arthur Choi, Adnan Darwiche:
Tractable Operations for Arithmetic Circuits of Probabilistic Models. NIPS 2016: 3936-3944 - [c107]Eunice Yuh-Jie Chen, Arthur Choi, Adnan Darwiche:
On Pruning with the MDL Score. Probabilistic Graphical Models 2016: 98-109 - [e2]Adnan Darwiche:
Beyond NP, Papers from the 2016 AAAI Workshop, Phoenix, Arizona, USA, February 12, 2016. AAAI Technical Report WS-16-05, AAAI Press 2016 [contents] - 2015
- [c106]Guy Van den Broeck, Adnan Darwiche:
On the Role of Canonicity in Knowledge Compilation. AAAI 2015: 1641-1648 - [c105]Suming Jeremiah Chen, Arthur Choi, Adnan Darwiche:
Value of Information Based on Decision Robustness. AAAI 2015: 3503-3510 - [c104]Arthur Choi, Guy Van den Broeck, Adnan Darwiche:
Probability Distributions over Structured Spaces. AAAI Spring Symposia 2015 - [c103]Eunice Yuh-Jie Chen, Arthur Choi, Adnan Darwiche:
Learning Bayesian Networks with Non-Decomposable Scores. GKR 2015: 50-71 - [c102]Arthur Choi, Guy Van den Broeck, Adnan Darwiche:
Tractable Learning for Structured Probability Spaces: A Case Study in Learning Preference Distributions. IJCAI 2015: 2861-2868 - [c101]Umut Oztok, Adnan Darwiche:
A Top-Down Compiler for Sentential Decision Diagrams. IJCAI 2015: 3141-3148 - [c100]Khaled S. Refaat, Adnan Darwiche:
Data Compression for Learning MRF Parameters. IJCAI 2015: 3784-3790 - [c99]Jessa Bekker, Jesse Davis, Arthur Choi, Adnan Darwiche, Guy Van den Broeck:
Tractable Learning for Complex Probability Queries. NIPS 2015: 2242-2250 - [c98]Suming Jeremiah Chen, Arthur Choi, Adnan Darwiche:
Computer Adaptive Testing Using the Same-Decision Probability. BMA@UAI 2015: 34-43 - [c97]Guy Van den Broeck, Karthika Mohan, Arthur Choi, Adnan Darwiche, Judea Pearl:
Efficient Algorithms for Bayesian Network Parameter Learning from Incomplete Data. UAI 2015: 161-170 - [c96]Khaled S. Refaat, Adnan Darwiche:
An Upper Bound on the Global Optimum in Parameter Estimation. UAI 2015: 772-781 - [i38]Arthur Choi, Adnan Darwiche:
Dual Decomposition from the Perspective of Relax, Compensate and then Recover. CoRR abs/1504.01173 (2015) - 2014
- [j32]Suming Jeremiah Chen, Arthur Choi, Adnan Darwiche:
Algorithms and Applications for the Same-Decision Probability. J. Artif. Intell. Res. 49: 601-633 (2014) - [c95]Umut Oztok, Adnan Darwiche:
On Compiling CNF into Decision-DNNF. CP 2014: 42-57 - [c94]Umut Oztok, Adnan Darwiche:
CV-width: A New Complexity Parameter for CNFs. ECAI 2014: 675-680 - [c93]Guy Van den Broeck, Wannes Meert, Adnan Darwiche:
Skolemization for Weighted First-Order Model Counting. KR 2014 - [c92]Doga Kisa, Guy Van den Broeck, Arthur Choi, Adnan Darwiche:
Probabilistic Sentential Decision Diagrams. KR 2014 - [c91]Khaled S. Refaat, Arthur Choi, Adnan Darwiche:
Decomposing Parameter Estimation Problems. NIPS 2014: 1565-1573 - [p2]Adnan Darwiche:
Tractable Knowledge Representation Formalisms. Tractability 2014: 141-172 - [i37]Guy Van den Broeck, Adnan Darwiche:
On the Role of Canonicity in Bottom-up Knowledge Compilation. CoRR abs/1404.4089 (2014) - [i36]Adnan Darwiche, Gregory M. Provan:
Query DAGs: A Practical Paradigm for Implementing Belief Network Inference. CoRR abs/1408.1480 (2014) - [i35]Hei Chan, Adnan Darwiche:
When do Numbers Really Matter? CoRR abs/1408.1692 (2014) - 2013
- [j31]Johann Schumann, Timmy Mbaya, Ole J. Mengshoel, Knot Pipatsrisawat, Ashok N. Srivastava, Arthur Choi, Adnan Darwiche:
Software health management with Bayesian networks. Innov. Syst. Softw. Eng. 9(4): 271-292 (2013) - [c90]Arthur Choi, Adnan Darwiche:
Dynamic Minimization of Sentential Decision Diagrams. AAAI 2013: 187-194 - [c89]Arthur Choi, Doga Kisa, Adnan Darwiche:
Compiling Probabilistic Graphical Models Using Sentential Decision Diagrams. ECSQARU 2013: 121-132 - [c88]Suming Jeremiah Chen, Arthur Choi, Adnan Darwiche:
An Exact Algorithm for Computing the Same-Decision Probability. IJCAI 2013: 2525-2531 - [c87]Khaled S. Refaat, Arthur Choi, Adnan Darwiche:
EDML for Learning Parameters in Directed and Undirected Graphical Models. NIPS 2013: 1502-1510 - [c86]Guy Van den Broeck, Adnan Darwiche:
On the Complexity and Approximation of Binary Evidence in Lifted Inference. NIPS 2013: 2868-2876 - [i34]James D. Park, Adnan Darwiche:
Approximating MAP using Local Search. CoRR abs/1301.2299 (2013) - [i33]Adnan Darwiche:
A Differential Approach to Inference in Bayesian Networks. CoRR abs/1301.3847 (2013) - [i32]Adnan Darwiche:
Any-Space Probabilistic Inference. CoRR abs/1301.3848 (2013) - [i31]Adnan Darwiche, Nir Friedman:
Proceedings of the Eighteenth Conference on Uncertainty in Artificial Intelligence (2002). CoRR abs/1301.4608 (2013) - [i30]Adnan Darwiche:
Dynamic Jointrees. CoRR abs/1301.7369 (2013) - [i29]Adnan Darwiche, Gregory M. Provan:
A Standard Approach for Optimizing Belief Network Inference using Query DAGs. CoRR abs/1302.1532 (2013) - [i28]Adnan Darwiche:
Conditioning Methods for Exact and Approximate Inference in Causal Networks. CoRR abs/1302.4939 (2013) - [i27]Adnan Darwiche, Moisés Goldszmidt:
Action Networks: A Framework for Reasoning about Actions and Change under Uncertainty. CoRR abs/1302.6796 (2013) - [i26]Adnan Darwiche, Moisés Goldszmidt:
On the Relation between Kappa Calculus and Probabilistic Reasoning. CoRR abs/1302.6797 (2013) - [i25]Adnan Darwiche:
Argument Calculus and Networks. CoRR abs/1303.1504 (2013) - [i24]Adnan Darwiche:
Objection-Based Causal Networks. CoRR abs/1303.5400 (2013) - [i23]Guy Van den Broeck, Adnan Darwiche:
On the Complexity and Approximation of Binary Evidence in Lifted Inference. CoRR abs/1311.6591 (2013) - [i22]Guy Van den Broeck, Wannes Meert, Adnan Darwiche:
Skolemization for Weighted First-Order Model Counting. CoRR abs/1312.5378 (2013) - 2012
- [j30]Arthur Choi, Yexiang Xue, Adnan Darwiche:
Same-decision probability: A confidence measure for threshold-based decisions. Int. J. Approx. Reason. 53(9): 1415-1428 (2012) - [c85]Yexiang Xue, Arthur Choi, Adnan Darwiche:
Basing Decisions on Sentences in Decision Diagrams. AAAI 2012: 842-849 - [c84]Adnan Darwiche:
Generalized Decision Diagrams: The game is not over yet! ECAI 2012: 4 - [c83]Guy Van den Broeck, Arthur Choi, Adnan Darwiche:
Lifted Relax, Compensate and then Recover: From Approximate to Exact Lifted Probabilistic Inference. UAI 2012: 131-141 - [c82]Khaled S. Refaat, Arthur Choi, Adnan Darwiche:
New Advances and Theoretical Insights into EDML. UAI 2012: 705-714 - [i21]Arthur Choi, Khaled S. Refaat, Adnan Darwiche:
EDML: A Method for Learning Parameters in Bayesian Networks. CoRR abs/1202.3709 (2012) - [i20]Arthur Choi, Adnan Darwiche:
Approximating the Partition Function by Deleting and then Correcting for Model Edges. CoRR abs/1206.3241 (2012) - [i19]Arthur Choi, Mark Chavira, Adnan Darwiche:
Node Splitting: A Scheme for Generating Upper Bounds in Bayesian Networks. CoRR abs/1206.5251 (2012) - [i18]Arthur Choi, Adnan Darwiche:
A Variational Approach for Approximating Bayesian Networks by Edge Deletion. CoRR abs/1206.6817 (2012) - [i17]Hei Chan, Adnan Darwiche:
On the Robustness of Most Probable Explanations. CoRR abs/1206.6819 (2012) - [i16]Arthur Choi, Hei Chan, Adnan Darwiche:
On Bayesian Network Approximation by Edge Deletion. CoRR abs/1207.1370 (2012) - [i15]Mark Chavira, David Allen, Adnan Darwiche:
Exploiting Evidence in Probabilistic Inference. CoRR abs/1207.1372 (2012) - [i14]Hei Chan, Adnan Darwiche:
Sensitivity Analysis in Bayesian Networks: From Single to Multiple Parameters. CoRR abs/1207.4124 (2012) - [i13]Guy Van den Broeck, Arthur Choi, Adnan Darwiche:
Lifted Relax, Compensate and then Recover: From Approximate to Exact Lifted Probabilistic Inference. CoRR abs/1210.4840 (2012) - [i12]Khaled S. Refaat, Arthur Choi, Adnan Darwiche:
New Advances and Theoretical Insights into EDML. CoRR abs/1210.4910 (2012) - [i11]