Uncertainty in Artificial Intelligence

Onderzoeksoutput

Onderzoeksoutput per jaar 2012 2019 2020 2021 2022 2023 2024

• 36 Conferentiebijdrage
• 36 Paper
• 18 Tijdschriftartikel
• 5 Hoofdstuk
• 18 Meer
  • 5 Overige bijdrage
  • 3 Voorwoord/editorial
  • 2 Boekredactie
  • 2 EngD Thesis
  • 1 Abstract
  • 1 Congresartikel
  • 1 Artikel recenseren
  • 1 computerprogramma software
  • 1 Dissertatie 1 (Onderzoek TU/e / Promotie TU/e)
  • 1 Preprint

Onderzoeksoutput per jaar

Onderzoeksoutput per jaar

Zoekresultaten

• 2024

  Probabilistic Integral Circuits

  Gala, G., de Campos, C., Peharz, R., Vergari, A. & Quaeghebeur, E., 2024, Proceedings of The 27th International Conference on Artificial Intelligence and Statistics. blz. 2143-2151 9 blz. (Proceedings of Machine Learning Research; vol. 238).

  Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

  Open Access

  • Latent Variable Model 100%
  • Simplest Case 100%
  • Neural Net 100%
  • Continuous Latent Variable 100%
  • Generative Model 33%
• 2023

  Bayesian Structure Scores for Probabilistic Circuits

  Yang, Y., Gala, G. & Peharz, R., 2023, International Conference on Artificial Intelligence and Statistics. PMLR, blz. 563-575 13 blz. (Proceedings of Machine Learning Research; vol. 206).

  Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

  • Bayesian 100%
  • structure learning 66%
  • Model Fit 33%
  • Probability Distribution 33%
  • Log Likelihood 33%
  1 Citaat (Scopus)

• Continuous mixtures of tractable probabilistic models

  Correia, A. H. C., Gala, G., Quaeghebeur, E., de Campos, C. P. & Peharz, R., 26 jun. 2023, Proceedings of the 37th AAAI Conference on Artificial Intelligence. Williams, B., Chen, Y. & Neville, J. (uitgave). AAAI Press, blz. 7244-7252 9 blz. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 37, nr. 6).

  Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

  Open Access

  Bestand

  • Mixture Model 100%
  • Finite Set 100%
  • Integration Point 100%
  • Space Model 50%
  • Conditionals 50%
  8 Citaten (Scopus)

  55 Downloads (Pure)

• Portfolio Optimization via Credal Probabilistic Circuits

  Montalvan Hernandez, D. & de Campos, C. P., 25 nov. 2023, ICAIF 2023 - 4th ACM International Conference on AI in Finance. Association for Computing Machinery, Inc, blz. 646-654 9 blz.

  Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Professioneel

  Open Access

  Bestand

  • Probability Theory 100%
  • Probabilistic Inference 100%
  • Circuit Model 100%
  • Epistemic Uncertainty 100%
  • Stock Market 100%
  48 Downloads (Pure)

• Toward Robust Uncertainty Estimation with Random Activation Functions

  Stoyanova, Y., Ghandi, S. & Tavakol, M., 27 jun. 2023, Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023: AAAI-23 Special Tracks. Williams, B., Chen, Y. & Neville, J. (uitgave). AAAI Press, blz. 15152-15160 9 blz.

  Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

  Open Access

  Bestand

  • Uncertainty Estimation 100%
  • Activation Function 100%
  • Neural Network 100%
  • Learning System 50%
  • Deep Neural Network 50%
  12 Downloads (Pure)
• 2022

  MuseBar: Alleviating Posterior Collapse in Recurrent VAEs Toward Music Generation

  Wu, H. & Tavakol, M., 2022, Advances in Intelligent Data Analysis XX - 20th International Symposium on Intelligent Data Analysis, IDA 2022, Proceedings. Bouadi, T., Fromont, E. & Hüllermeier, E. (uitgave). Springer, blz. 365-377 13 blz. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13205 LNCS).

  Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

  • Machine Learning 100%
  • Specific Industry 100%
  • Kullback-Leibler Divergence 100%
  • Music Generation 100%
  • Hidden State 100%

• On-The-Fly Solving for Symbolic Parity Games

  Laveaux, M., Wesselink, W. & Willemse, T. A. C., 2022, Tools and Algorithms for the Construction and Analysis of Systems - 28th International Conference, TACAS 2022, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2022, Proceedings. Fisman, D. & Rosu, G. (uitgave). Springer, blz. 137-155 19 blz. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13244 LNCS).

  Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

  Open Access

  • Decision Problem 100%
  • Designated Vertex 100%
  • high-order logic 50%
  2 Citaten (Scopus)
• 2021

  An Actor-Critic Ensemble Aggregation Model for Time-Series Forecasting

  Saadallah, A., Tavakol, M. & Morik, K., 22 jun. 2021, Proceedings - 2021 IEEE 37th International Conference on Data Engineering, ICDE 2021. blz. 2255-2260 6 blz. 9458798

  Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

  • Research Question 100%
  • Learning Framework 100%
  • Temporal Behavior 100%
  • Sequential Decision Making 100%
  • Individual Model 100%
  7 Citaten (Scopus)

• Bayesian Independence Test with Mixed-type Variables

  Benavoli, A. & Campos, C. D., 2021, IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA). IEEE Press

  Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

  Open Access

  • Bayesian 100%
  • Variable Type 100%
  • Probability Theory 20%
  • Frequentist Approach 20%
  • Text Variable 20%
  1 Citaat (Scopus)

• Learning Gradient Boosted Multi-label Classification Rules

  Rapp, M., Mencía, E. L., Fürnkranz, J., Nguyen, V.-L. & Hüllermeier, E., 2021, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2020, Proceedings. Hutter, F., Kersting, K., Lijffijt, J. & Valera, I. (uitgave). Springer, blz. 124-140 17 blz. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12459 LNAI).

  Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

  • Classification Rule 100%
  • Performance Measure 50%
  • Decision Trees 50%
  • Gradient Boosting 50%
  • Predictive Performance 50%
  14 Citaten (Scopus)

• PS3: Partition-Based Skew-Specialized Sampling for Batch Mode Active Learning in Imbalanced Text Data

  Fajri, R., Khoshrou, S., Peharz, R. & Pechenizkiy, M., 2021, Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track - European Conference, ECML PKDD 2020, Proceedings. Dong, Y., Mladenic, D. & Saunders, C. (uitgave). Springer, blz. 68-84 17 blz. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12461 LNAI).

  Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

  • Active Learning 100%
  • Online Content 50%
  • Speech Detection 50%
  • Learning Framework 25%
  • Small Fraction 25%
  1 Citaat (Scopus)

• Sum-Product Laws and Efficient Algorithms for Imprecise Markov Chains

  De Bock, J., Erreygers, A. & Krak, T., 2021, (Geaccepteerd/In druk) Proceedings of UAI 2021. (Proceedings of Machine Learning Research).

  Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review
• 2020

  Almost No News on the Complexity of MAP in Bayesian Networks

  de Campos, C. P., nov. 2020, Proceedings of the 10th International Conference on Probabilistic Graphical Models. Jaeger, M. & Nielsen, T. D. (uitgave). PMLR, Vol. 138. blz. 149-160 12 blz. (Proceedings of Machine Learning Research).

  Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

  • Bayesian Networks 100%
  • Empirical 100%
  • Proof 100%
  • Bayesian Network 100%
  • State of the Art 100%
  3 Citaten (Scopus)

• Distantly Supervised Question Parsing

  Zafar, H., Tavakol, M. & Lehmann, J., 24 aug. 2020, ECAI 2020 - 24th European Conference on Artificial Intelligence, including 10th Conference on Prestigious Applications of Artificial Intelligence, PAIS 2020 - Proceedings. De Giacomo, G., Catala, A., Dilkina, B., Milano, M., Barro, S., Bugarin, A. & Lang, J. (uitgave). IOS Press, blz. 2290-2297 8 blz. (Frontiers in Artificial Intelligence and Applications; vol. 325).

  Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

  • Parsing 100%
  • question answering system 60%
  • Learning Framework 20%
  • Annotation 20%
  • Supervised Learning 20%
  2 Citaten (Scopus)

• Fair Classification with Counterfactual Learning

  Tavakol, M., 25 jul. 2020, SIGIR '20: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval. blz. 2073-2076 4 blz.

  Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

  • Machine Learning 100%
  • Counterfactual Reasoning 100%
  • Classification Performance 100%
  • Fair Model 100%
  5 Citaten (Scopus)

• HyperUCB - Hyperparameter Optimization Using Contextual Bandits

  Tavakol, M., Mair, S. & Morik, K., 2020, Machine Learning and Knowledge Discovery in Databases - International Workshops of ECML PKDD 2019, Proceedings. Cellier, P. & Driessens, K. (uitgave). Springer, blz. 44-50 7 blz. (Communications in Computer and Information Science; vol. 1167 CCIS).

  Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

  • Exploratory 100%
  • Bayesian Optimisation 100%
  • Grid Search 100%
  • Learning Algorithm 100%
  • Computational Resource 100%

• Joints in Random Forests

  Correia, A., Peharz, R. & de Campos, C. P., 2020, Advances in Neural Information Processing Systems. Larochelle, H., Ranzato, M., Hadsell, R., Balcan, M. F. & Lin, H. (uitgave). Curran Associates, blz. 11404-11415 12 blz. (Advances in Neural Information Processing Systems; vol. 33).

  Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

  Open Access

  • Random Decision Forest 100%
  • Decision Trees 100%
  • Decision Tree 100%
  • Random Forest 100%
  • Generative Model 40%
  18 Citaten (Scopus)

• On Pruning for Score-Based Bayesian Network Structure Learning

  Correia, A. H. C., Cussens, J. & de Campos, C. P., 2020, International Conference on Artificial Intelligence and Statistics, 26-28 August 2020. blz. 2709-2718 (Proceedings of Machine Learning Research; vol. 108).

  Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

  Open Access

  Bestand

  • Bayesian 100%
  • Bayesian Network 100%
  • structure learning 100%
  • bayesian network structure 100%
  • Upper Bound 33%
  6 Citaten (Scopus)

  77 Downloads (Pure)

• Towards Robust Classification with Deep Generative Forests

  Correia, A. H. C., Peharz, R. & Campos, C. D., 11 jul. 2020, ICML 2020 Workshop on Uncertainty and Robustness in Deep Learning.

  Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

  Bestand

  • Random Decision Forest 100%
  • Machine Learning 50%
  • Feature Space 50%
  • Art Performance 50%
  • Decision Trees 50%
  54 Downloads (Pure)
• 2019

  An experimental study of prior dependence in Bayesian network structure learning

  Correia, A. H. C., de Campos, C. P. & van der Gaag, L. C., 2019, Proceedings of the Eleventh International Symposium on Imprecise Probabilities: Theories and Applications. De Bock, J., de Campos, C. P., de Cooman, G., Quaeghebeur, E. & Wheeler, G. (uitgave). PMLR, blz. 78-81 4 blz. (Proceedings of Machine Learning Research; vol. 103).

  Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

  Open Access

  • Bayesian 100%
  • Bayesian Network 100%
  • structure learning 100%
  • bayesian network structure 100%
  • Big Data 100%
  4 Citaten (Scopus)

• A Recursive Algorithm for Computing Inferences in Imprecise Markov Chains

  T'Joens, N., Krak, T., De Bock, J. & de Cooman, G., 2019, Symbolic and Quantitative Approaches to Reasoning with Uncertainty - 15th European Conference, ECSQARU 2019, Proceedings. Kern-Isberner, G. & Ognjanović, Z. (uitgave). Springer, blz. 455-465 11 blz. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11726 LNAI).

  Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

  • Markov Chain 100%
  • Recursive Algorithm 100%
  • Probability Theory 66%
  • time point η 33%
  • Hitting Time 33%
  11 Citaten (Scopus)

• Automatic Bayesian Density Analysis

  Vergari, A., Molina, A., Peharz, R., Ghahramani, Z., Kersting, K. & Valera, I., 2019, Proceedings of The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19). AAAI Press, blz. 5207-5215 8 blz.

  Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

  Open Access

  • Artificial Intelligence 100%
  • Data Type 100%
  • Interaction Model 100%
  • Anomaly Detection 100%
  • Statistical Data 100%

• Bayesian Learning of Sum-Product Networks

  Trapp, M., Peharz, R., Ge, H., Pernkopf, F. & Ghahramani, Z., 26 mei 2019, Advances in Neural Information Processing Systems (NeurIPS). Curran Associates, blz. 6347-6358 (Advances in Neural Information Processing Systems; vol. 32).

  Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

  • Bayesian Learning 100%
  • Network Structures 100%
  • structure learning 100%
  • Bayesian 100%
  • Product Sum 100%
  27 Citaten (Scopus)

• Faster attend-infer-repeat with tractable probabilistic models

  Stelzner, K., Peharz, R. & Kersting, K., 1 jan. 2019, 36th International Conference on Machine Learning, ICML 2019. blz. 10455-10466 12 blz. (Proceedings of Machine Learning Research).

  Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

  • Opts _ _ _ 100%
  • Bayesian 100%
  • Product Sum 100%
  • Individual Object 100%
  • Scene Understanding 100%
  14 Citaten (Scopus)

• Hierarchical decompositional mixtures of variational autoencoders

  Tan, P. L. & Peharz, R., 1 jan. 2019, 36th International Conference on Machine Learning, ICML 2019. blz. 10701-10711 11 blz. (Proceedings of Machine Learning Research).

  Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

  • Product Sum 100%
  • Mixture Model 100%
  • Higher Dimensions 100%
  • Autoencoder 100%
  • Learning Problem 20%
  2 Citaten (Scopus)

• Hitting Times and Probabilities for Imprecise Markov Chains

  Krak, T., T'Joens, N. & De Bock, J., 2019, Proceedings of ISIPTA 2019. blz. 265-275 (Proceedings of Machine Learning Research).

  Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

  13 Citaten (Scopus)

• Human-in-the-loop feature selection

  Correia, A. H. C. & Lecue, F., 23 jul. 2019, 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019. Palo Alto: AAAI Press, blz. 2438-2445 8 blz.

  Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

  Open Access

  • Human-in-the-Loop 100%
  • Feature Selection 100%
  • Machine Learning 33%
  • Driven Approach 33%
  • Human Decision Making 33%
  17 Citaten (Scopus)

  1 Downloads (Pure)

• Minimal random code learning: Getting bits back from compressed model parameters

  Havasi, M., Peharz, R. & Hernández-Lobato, J. M., 1 jan. 2019, International Conference on Learning Representations.

  Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

  • Compression Rate 100%
  • Test Performance 66%
  • Leibler Divergence 66%
  • Deep Neural Network 33%
  • Quantization 33%

• Random sum-product networks: A simple and effective approach to probabilistic deep learning

  Peharz, R., Vergari, A., Stelzner, K., Molina, A., Shao, X., Trapp, M., Kersting, K. & Ghahramani, Z., 2019, Conference on Uncertainty in Artificial Intelligence (UAI).

  Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

  • Deep Learning 100%
  • Effective Approach 100%
  • Network Structures 66%
  • Deep Neural Network 33%
  • Learning Framework 33%
  30 Citaten (Scopus)

• Robustness in sum-product networks with continuous and categorical data

  de Wit, R. C., de Campos, C. P., Conaty, D. & Martínez del Rincon, J., 2019, Proceedings of the Eleventh International Symposium on Imprecise Probabilities: Theories and Applications. De Bock, J., de Campos, C. P., de Cooman, G., Quaeghebeur, E. & Wheeler, G. (uitgave). PMLR, blz. 156-158 3 blz. (Proceedings of Machine Learning Research; vol. 103).

  Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

  Open Access

  • Continuous Data 100%
  • Graphical Model 100%
  • Fraudulent Case 100%
  • Continuous Variable 100%
  • Polynomial Time 100%

• Towards scalable and robust sum-product networks

  Correia, A. H. C. & de Campos, C. P., 2019, Scalable Uncertainty Management - 13th International Conference, SUM 2019, Proceedings. Ben Amor, N., Quost, B. & Theobald, M. (uitgave). Cham: Springer, blz. 409-422 14 blz. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11940 LNAI).

  Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

  • Machine Learning 100%
  • Ensemble Modeling 100%
  • Processing Time 100%
  • Classification Task 100%
  3 Citaten (Scopus)

  10 Downloads (Pure)

• Two-State Imprecise Markov Chains for Statistical Modelling of Two-State Non-Markovian Processes

  Troffaes, M. C. M., Krak, T. & Bains, H., 2019, Proceedings of ISIPTA 2019. blz. 394-403 (Proceedings of Machine Learning Research).

  Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

  2 Citaten (Scopus)
• 2018

  An Imprecise Probabilistic Estimator for the Transition Rate Matrix of a Continuous-Time Markov Chain

  Krak, T., Erreygers, A. & De Bock, J., 2018, Proceedings of SMPS 2018. Springer, blz. 124-132

  Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review
• 2017

  Efficient Computation of Updated Lower Expectations for Imprecise Continuous-Time Hidden Markov Chains

  Krak, T., De Bock, J. & Siebes, A. P. J. M., 2017, Proceedings of ISIPTA 2017. blz. 193-204 (Proceedings of Machine Learning Research; vol. 62).

  Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review
• 2016

  Partial Data Querying Through Racing Algorithms

  Nguyen, V.-L., Destercke, S. & Masson, M.-H., 2016, Integrated Uncertainty in Knowledge Modelling and Decision Making 2016. Springer, blz. 163-174

  Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review
  1 Citaat (Scopus)
• 2015

  Exceptional Model Mining with Tree-Constrained Gradient Ascent

  Krak, T. & Feelders, A., 2015, Proceedings of SIAM SDM 2015. Society for Industrial and Applied Mathematics (SIAM), blz. 487-495

  Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

  2 Citaten (Scopus)