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

  Beyond tree-shaped credal probabilistic circuits

  Montalvan Hernandez, D. (Corresponding author), Centen, T. W. G., Krak, T., Quaeghebeur, E. & de Campos, C. P., aug. 2024, In: International Journal of Approximate Reasoning. 171, 18 blz., 109047.

  Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review

  Open Access

  Bestand

  • Approximation (Algorithm) 100%
  • Polynomial Time 100%
  • Efficient Algorithm 50%
  • Time Complexity 50%
  • Structure Model 50%
  1 Citaat (Scopus)

  6 Downloads (Pure)

• Effective Risk Detection for Natural Gas Pipelines Using Low-Resolution Satellite Images

  Ochs, D. (Corresponding author), Wiertz, K., Bußmann, S., Kersting, K. & Dhami, D. S., jan. 2024, In: Remote Sensing. 16, 2, 13 blz., 266.

  Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review

  Open Access

  Bestand

  • Tasks 100%
  • Natural Gas Pipeline 100%
  • Deep Learning 100%
  • Satellite Image 100%
  • Natural Gas Pipelines 100%
  2 Downloads (Pure)

• Investigating data-driven surrogates for the Ainslie wake model

  Morabito, N., Quaeghebeur, E. & Bliek, L., 2024, In: Journal of Physics: Conference Series. 2767, 8, 10 blz., 082002.

  Onderzoeksoutput: Bijdrage aan tijdschrift › Congresartikel › peer review

  Open Access

  Bestand

  • Perceptron 100%
  • Multilayer Perceptron 100%
  • Decision Trees 75%
  • Wind Turbine 50%
  • Complex Model 25%
  13 Downloads (Pure)

• Learning Large DAGs is Harder than you Think: Many Losses are Minimal for the Wrong DAG.

  Seng, J., Zecevic, M., Dhami, D. S. & Kersting, K., 2024.

  Onderzoeksoutput: Bijdrage aan congres › Paper › Academic

• Mission Design for Unmanned Aerial Vehicles using Hybrid Probabilistic Logic Program.

  Kohaut, S., Flade, B., Dhami, D. S., Eggert, J. & Kersting, K., 2024

  Onderzoeksoutput: Andere bijdrage › Overige bijdrage › Academic

• Pix2Code: Learning to Compose Neural Visual Concepts as Programs.

  Wüst, A., Stammer, W., Delfosse, Q., Dhami, D. S. & Kersting, K., 2024

  Onderzoeksoutput: Andere bijdrage › Overige bijdrage › Academic

• 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%

• Structural causal models reveal confounder bias in linear program modelling

  Zečević, M., Dhami, D. S. (Corresponding author) & Kersting, K., mrt. 2024, In: Machine Learning. 113, 3, blz. 1329-1349 21 blz.

  Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review

  Open Access

  Bestand

  • Causal Model 100%
  • Linear Program 100%
  • Confounders 100%
  • Combinatorial Problem 12%
  • Confounding 12%
  2 Downloads (Pure)

• Towards Probabilistic Clearance, Explanation and Optimization.

  Kohaut, S., Flade, B., Dhami, D. S., Eggert, J. & Kersting, K., 2024

  Onderzoeksoutput: Andere bijdrage › Overige bijdrage › Academic
• 2023

  A comparison of eight optimization methods applied to a wind farm layout optimization problem

  Thomas, J. J. (Corresponding author), Baker, N. F., Malisani, P., Quaeghebeur, E., Sanchez Perez-Moreno, S., Jasa, J., Bay, C., Tilli, F., Bieniek, D., Robinson, N., Stanley, A. P. J., Holt, W. & Ning, A., jun. 2023, In: Wind Energy Science. 8, 5, blz. 865-891 27 blz.

  Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review

  Open Access

  Bestand

  • Optimization Method 100%
  • Optimisation Problem 100%
  • Layout Optimization 100%
  • Wind Turbine 100%
  • Optimization Problem 100%
  7 Citaten (Scopus)

  36 Downloads (Pure)

• 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)

• Bayesian uncertainty quantification for transient heat conduction problems with temperature-dependent conductivity

  Silva, R. L. S., Verhoosel, C. V. & Quaeghebeur, E., 2023.

  Onderzoeksoutput: Bijdrage aan congres › Abstract › Academic

  Open Access

  Bestand

  • Bayesian 100%
  • Heat Conduction 100%
  • Uncertainty Quantification 100%
  • Transients 100%
  • Heat Conduction Problem 100%
  36 Downloads (Pure)

• Continual Causality: A Retrospective of the Inaugural AAAI-23 Bridge Program.

  Mundt, M., Cooper, K. W., Dhami, D. S., Ribeiro, A. H., Smith, J. S., Bellot, A. & Hayes, T. L., 2023, blz. 1-10. 10 blz.

  Onderzoeksoutput: Bijdrage aan congres › Paper › Academic

  • Artificial Intelligence 100%
  • Complex Environment 100%
  • Fundamental Component 100%
  • Human Cognition 100%
  • Causal Model 100%

• 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)

• Do Not Marginalize Mechanisms, Rather Consolidate!

  Willig, M., Zecevic, M., Dhami, D. S. & Kersting, K., 2023.

  Onderzoeksoutput: Bijdrage aan congres › Paper › Academic

• FastDTI: Drug-Target Interaction Prediction using Multimodality and Transformers

  Boezer, M., Tavakol, M. & Sajadi, Z., 23 jan. 2023.

  Onderzoeksoutput: Bijdrage aan congres › Paper › Professioneel

  Open Access

• Insights on Learning Tractable Probabilistic Graphical Models

  Chaim Correia, A. H., 22 jun. 2023, Eindhoven: Eindhoven University of Technology. 198 blz.

  Onderzoeksoutput: Scriptie › Dissertatie 1 (Onderzoek TU/e / Promotie TU/e)

  Open Access

  Bestand
  312 Downloads (Pure)

• International Symposium on Imprecise Probability: Theories and Applications, 11-14 July 2023, Oviedo, Spain

  Miranda, E. (Redacteur), Montes, I. (Redacteur), Quaeghebeur, E. (Redacteur) & Vantaggi, B. (Redacteur), 2023, PMLR. (Proceedings of Machine Learning Research; vol. 215)

  Onderzoeksoutput: Boek/rapport › Boekredactie › Academic › peer review

  Open Access

• Interpretable and Explainable Logical Policies via Neurally Guided Symbolic Abstraction.

  Delfosse, Q., Shindo, H., Dhami, D. S. & Kersting, K., 2023.

  Onderzoeksoutput: Bijdrage aan congres › Paper › Academic

• ISIPTA 2023: Preface

  Miranda, E., Montes, I., Quaeghebeur, E. & Vantaggi, B., 2023, Proceedings of the Thirteenth International Symposium on Imprecise Probability: Theories and Applications. Miranda, E., Montes, I., Quaeghebeur, E. & Vantaggi, B. (uitgave). PMLR, blz. 1-2 2 blz. (Proceedings of Machine Learning Research ; vol. 215).

  Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Voorwoord/editorial › Academic

  Open Access

  • International Conference 100%

• Matrix factorization with denoising autoencoders for prediction of drug–target interactions

  Sajadi, Z., Zare Chahooki, M. A. (Corresponding author), Tavakol, M. & Gharaghani, S., jun. 2023, In: Molecular Diversity. 27, 3, blz. 1333-1343 11 blz.

  Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review

  Open Access

  Bestand

  • Matrix Factorization 100%
  • Denoising Autoencoders 100%
  • de-noising 100%
  • Autoencoder 100%
  • Interaction Matrix 83%
  4 Citaten (Scopus)

  63 Downloads (Pure)

• Mission Design for Unmanned Aerial Vehicles using Hybrid Probabilistic Logic Programs.

  Kohaut, S., Flade, B., Dhami, D. S., Eggert, J. & Kersting, K., 2023, blz. 1506-1513. 8 blz.

  Onderzoeksoutput: Bijdrage aan congres › Paper › Academic

  • Unmanned Aerial Vehicle 100%
  • Logic Programming 100%
  • Formal Verification 33%
  • Autonomous Agent 33%
  • State Space 33%
  1 Citaat (Scopus)

• Neural-Symbolic Predicate Invention: Learning Relational Concepts from Visual Scenes.

  Sha, J., Shindo, H., Kersting, K. & Dhami, D. S., 2023, blz. 103-117. 15 blz.

  Onderzoeksoutput: Bijdrage aan congres › Paper › Academic

  • Inductive Logic Programming 100%
  • Background Knowledge 37%
  • Deep Neural Network 12%
  • Symbolic Approach 12%

• 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)

• Scalable Neural-Probabilistic Answer Set Programming.

  Skryagin, A., Ochs, D., Dhami, D. S. & Kersting, K., 2023

  Onderzoeksoutput: Andere bijdrage › Overige bijdrage › Academic

• 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)

• Vision Relation Transformer for Unbiased Scene Graph Generation.

  Sudhakaran, G., Dhami, D. S., Kersting, K. & Roth, S., 2023, blz. 21825-21836. 12 blz.

  Onderzoeksoutput: Bijdrage aan congres › Paper › Academic

  • Scene Understanding 100%
  • Information Loss 100%
  • Predictive Performance 100%
  • Experimental Result 100%
  • Local Level 100%
  2 Citaten (Scopus)
• 2022

  Designing an unsupervised machine learning method to identify automation improvement opportunities in supply chain at ASML

  Li, L., 25 aug. 2022, Eindhoven: Technische Universiteit Eindhoven. 82 blz.

  Onderzoeksoutput: Scriptie › EngD Thesis

• DP-CTGAN: Differentially Private Medical Data Generation Using CTGANs.

  Fang, M. L., Dhami, D. S. & Kersting, K., 2022, blz. 178-188.

  Onderzoeksoutput: Bijdrage aan congres › Paper › Academic
  15 Citaten (Scopus)

• High-Value Token-Blocking: Efficient Blocking Method for Record Linkage

  O’hare, K., Jurek-Loughrey, A. & de Campos, C., apr. 2022, In: ACM Transactions on Knowledge Discovery from Ddata. 16, 2, 17 blz., 24.

  Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review

  Open Access

  Bestand

  • Record Linkage 100%
  • Data Integration 66%
  • Data Source 33%
  • Heterogeneous Data 33%
  • Scientific Paper 33%
  4 Citaten (Scopus)

  73 Downloads (Pure)

• How to measure uncertainty in uncertainty sampling for active learning

  Nguyen, V.-L., Shaker, M. H. & Hüllermeier, E. (Corresponding author), jan. 2022, In: Machine Learning. 111, blz. 89-122 34 blz.

  Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review

  Open Access

  Bestand

  • Active Learning 100%
  • Learning System 100%
  • Irreducibles 100%
  • Machine Learning 66%
  • Popular Approach 33%
  74 Citaten (Scopus)

  638 Downloads (Pure)

• Introduction to the theory of imprecise probability

  Quaeghebeur, E., 2022, Uncertainty in Engineering: Introduction to Methods and Applications. Aslett, L. J. M., Coolen, F. P. A. & De Bock, J. (uitgave). 1 uitgave Cham: Springer, blz. 37-50 14 blz. (SpringerBriefs in Statistics).

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

  Open Access

  • Model Uncertainty 100%
  • Indecision 100%
  • Structure Model 33%
  • Essential Concept 33%
  • Draw Conclusion 33%

• 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%

• MuseBar: Alleviating Posterior Collapse in Recurrent VAEs Toward Music Generation

  Wu, H. & Tavakol, M., 7 apr. 2022.

  Onderzoeksoutput: Bijdrage aan congres › Paper › Academic

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

• Neural-Probabilistic Answer Set Programming.

  Skryagin, A., Stammer, W., Ochs, D., Dhami, D. S. & Kersting, K., 2022.

  Onderzoeksoutput: Bijdrage aan congres › Paper › Academic

• 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)

• On-The-Fly Solving for Symbolic Parity Games

  Laveaux, M., Wesselink, W. & Willemse, T. A. C., 2022, In: CoRR. abs/2201.09607

  Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic

• Partial-order reduction for parity games and parameterised Boolean equation systems

  Neele, T. (Corresponding author), Willemse, T. A. C., Wesselink, W. & Valmari, A., okt. 2022, In: International Journal on Software Tools for Technology Transfer. 24, 5, blz. 735-756 22 blz.

  Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review

  Open Access

  Bestand

  • Partial Order Reduction 100%
  • Boolean Equation 100%
  • Equation System 100%
  • Model Checking 60%
  • State Space 20%
  2 Citaten (Scopus)

  56 Downloads (Pure)

• Predictive Whittle networks for time series.

  Yu, Z., Ventola, F., Thoma, N., Dhami, D. S., Mundt, M. & Kersting, K., 2022, blz. 2320-2330.

  Onderzoeksoutput: Bijdrage aan congres › Paper › Academic

• Retrieval of technical documentation by a data-driven analysis approach & Improvement strategies of the inspection process based on the BIM 360 Field data

  Kouka, A., 27 jan. 2022, Eindhoven: Technische Universiteit Eindhoven.

  Onderzoeksoutput: Scriptie › EngD Thesis

• Sum-Product Loop Programming: From Probabilistic Circuits to Loop Programming.

  Pfanschilling, V., Shindo, H., Dhami, D. S. & Kersting, K., 2022.

  Onderzoeksoutput: Bijdrage aan congres › Paper › Academic

• Survey on Fair Reinforcement Learning: Theory and Practice

  Gajane, P., Saxena, A., Tavakol, M., Fletcher, G. H. L. & Pechenizkiy, M., 2022, arXiv.org.

  Onderzoeksoutput: Werkdocument › Preprint › Professioneel

  Open Access

  • Practitioners 100%
  • Decision Making 100%
  • Explainability 100%
  • World Problems 100%
  • Reinforcement Learning 100%
• 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)

• An Introduction to Imprecise Markov Chains

  Krak, T., 15 feb. 2021, Optimization Under Uncertainty with Applications to Aerospace Engineering. Vasile, M. (uitgave). Springer Nature, blz. 141-179 39 blz.

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

  • Markov Chain 100%
  • Stochastic Process 33%
  • Probability Theory 33%
  • Dynamical System 16%
  • Continuous Time 16%

• 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)

• Bayesian Kernelised Test of (In)dependence with Mixed-type Variables

  Benavoli, A. & Campos, C. D., 2021

  Onderzoeksoutput: Andere bijdrage › Overige bijdrage › Academic

• Beyond Simple Images: Human Knowledge-Guided GANs for Clinical Data Generation.

  Dhami, D. S., Das, M. & Natarajan, S., 2021, blz. 247-257.

  Onderzoeksoutput: Bijdrage aan congres › Paper › Academic
  3 Citaten (Scopus)

• Computing Expected Hitting Times for Imprecise Markov Chains

  Krak, T., 2021, (Geaccepteerd/In druk) Advances in Uncertainty Quantification and Optimization Under Uncertainty with Aerospace Applications: Proceedings of the 2020 UQOP International Conference. Vasile, M. & Quagliarella, D. (uitgave). Springer

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

• Generative Clausal Networks: Relational Decision Trees as Probabilistic Circuits.

  Ventola, F., Dhami, D. S. & Kersting, K., 2021, blz. 251-265.

  Onderzoeksoutput: Bijdrage aan congres › Paper › Academic
  1 Citaat (Scopus)

• Human-Guided Learning of Column Networks: Knowledge Injection for Relational Deep Learning.

  Das, M., Dhami, D. S., Yu, Y., Kunapuli, G. & Natarajan, S., 2021, blz. 110-118.

  Onderzoeksoutput: Bijdrage aan congres › Paper › Academic
  1 Citaat (Scopus)