Title
Deep Grey-Box Modeling With Adaptive Data-Driven Models Toward Trustworthy Estimation of Theory-Driven Models Naoya Takeishi Alexandros Kalousis AAML 94 3 0 24 Oct 2022
A Survey on Explainable Anomaly Detection Zhong Li Yuxuan Zhu M. Leeuwen 115 79 0 13 Oct 2022
Compute-Efficient Deep Learning: Algorithmic Trends and Opportunities Brian Bartoldson B. Kailkhura Davis W. Blalock 107 51 0 13 Oct 2022
Requirements Engineering for Machine Learning: A Review and Reflection Zhong Pei Lin Liu Chen Wang Jianmin Wang VLM 78 24 0 03 Oct 2022
Incorporation of Human Knowledge into Data Embeddings to Improve Pattern Significance and Interpretability Jie Li Chunting Zhou 76 9 0 23 Sep 2022
Knowledge-Injected Federated Learning Zhenan Fan Zirui Zhou Jian Pei M. Friedlander Jiajie Hu Chengliang Li Yong Zhang FedML 66 4 0 16 Aug 2022
Leveraging Explanations in Interactive Machine Learning: An Overview Stefano Teso Öznur Alkan Wolfgang Stammer Elizabeth M. Daly XAI FAtt LRM 162 63 0 29 Jul 2022
PIXEL: Physics-Informed Cell Representations for Fast and Accurate PDE Solvers Namgyu Kang Byeonghyeon Lee Youngjoon Hong S. Yun Eunbyung Park PINN AI4CE 63 16 0 26 Jul 2022
Adaptive Self-supervision Algorithms for Physics-informed Neural Networks Shashank Subramanian Robert M. Kirby Michael W. Mahoney A. Gholami 98 26 0 08 Jul 2022
A systematic review of biologically-informed deep learning models for cancer: fundamental trends for encoding and interpreting oncology data Magdalena Wysocka Oskar Wysocki Marie Zufferey Dónal Landers André Freitas AI4CE 127 28 0 02 Jul 2022
Informed Learning by Wide Neural Networks: Convergence, Generalization and Sampling Complexity Jianyi Yang Shaolei Ren 82 3 0 02 Jul 2022
Modular design patterns for neural-symbolic integration: refinement and combination Till Mossakowski 102 1 0 09 Jun 2022
Predict better with less training data using a QNN Barry D. Reese M. Kowalik C. Metzl Christian Bauckhage E. Sultanow 56 2 0 08 Jun 2022
Zeroth-Order SciML: Non-intrusive Integration of Scientific Software with Deep Learning Ioannis C. Tsaknakis B. Kailkhura Sijia Liu Donald Loveland James Diffenderfer A. Hiszpanski Min-Fong Hong 55 3 0 04 Jun 2022
Innovations in Integrating Machine Learning and Agent-Based Modeling of Biomedical Systems N. Sivakumar C. Mura S. Peirce AI4CE 102 22 0 02 Jun 2022
Bayesian Learning to Discover Mathematical Operations in Governing Equations of Dynamic Systems Hongpeng Zhou W. Pan 39 4 0 01 Jun 2022
Informed Pre-Training on Prior Knowledge Laura von Rueden Sebastian Houben K. Cvejoski Christian Bauckhage Nico Piatkowski 65 6 0 23 May 2022
Causal Discovery and Knowledge Injection for Contestable Neural Networks (with Appendices) Fabrizio Russo Francesca Toni CML 57 7 0 19 May 2022
Finite Element Method-enhanced Neural Network for Forward and Inverse Problems R. Meethal B. Obst Mohamed Khalil A. Ghantasala A. Kodakkal K. Bletzinger R. Wüchner AI4CE 66 34 0 17 May 2022
Deep Learning with Logical Constraints Eleonora Giunchiglia Mihaela C. Stoian Thomas Lukasiewicz NAI AI4CE 109 62 0 01 May 2022
When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning Chuizheng Meng Sungyong Seo Defu Cao Sam Griesemer Yan Liu PINN AI4CE 122 59 0 31 Mar 2022
Satellite Image and Machine Learning based Knowledge Extraction in the Poverty and Welfare Domain Ola Hall Mattias Ohlsson Thortseinn Rögnvaldsson 52 8 0 02 Mar 2022
Is Neuro-Symbolic AI Meeting its Promise in Natural Language Processing? A Structured Review Kyle Hamilton Aparna Nayak Bojan Bozic Luca Longo NAI 103 63 0 24 Feb 2022
Machine Learning in Aerodynamic Shape Optimization Ji-chao Li Xiaosong Du J. Martins AI4CE 91 194 0 15 Feb 2022
Quantification of Actual Road User Behavior on the Basis of Given Traffic Rules Daniel Bogdoll Moritz Nekolla Tim Joseph J. Marius Zöllner 73 4 0 07 Feb 2022
Knowledge-Integrated Informed AI for National Security Anu Myne Kevin J. Leahy Ryan Soklaski 86 0 0 04 Feb 2022
Capturing and incorporating expert knowledge into machine learning models for quality prediction in manufacturing Patrick Link Miltiadis Poursanidis J. Schmid Rebekka Zache Martin von Kurnatowski U. Teicher S. Ihlenfeldt 45 16 0 04 Feb 2022
Knowledge Informed Machine Learning using a Weibull-based Loss Function Tim Hahn C. Mechefske 20 15 0 04 Jan 2022
KnAC: an approach for enhancing cluster analysis with background knowledge and explanations Szymon Bobek M. Kuk Jakub Brzegowski Edyta Brzychczy Grzegorz J. Nalepa 51 12 0 16 Dec 2021
Curriculum learning for data-driven modeling of dynamical systems Alessandro Bucci Onofrio Semeraro A. Allauzen S. Chibbaro L. Mathelin PINN AI4CE 57 8 0 15 Dec 2021
Causal Knowledge Guided Societal Event Forecasting Songgaojun Deng Huzefa Rangwala Yue Ning AI4TS 61 2 0 10 Dec 2021
A coarse space acceleration of deep-DDM Valentin Mercier Serge Gratton Pierre Boudier AI4CE 69 10 0 07 Dec 2021
Physically Consistent Neural Networks for building thermal modeling: theory and analysis L. D. Natale B. Svetozarevic Philipp Heer Colin N. Jones PINN AI4CE 107 90 0 06 Dec 2021
Multicriteria interpretability driven Deep Learning M. Repetto 36 14 0 28 Nov 2021
AI in Human-computer Gaming: Techniques, Challenges and Opportunities Qiyue Yin Jun Yang Kaiqi Huang Meijing Zhao Wancheng Ni Bin Liang Yan Huang Shu Wu Liangsheng Wang 54 21 0 15 Nov 2021
A Survey on Neural-symbolic Learning Systems Dongran Yu Bo Yang Da Liu Hui Wang Shirui Pan 93 61 0 10 Nov 2021
Constructing Neural Network-Based Models for Simulating Dynamical Systems Christian Møldrup Legaard Thomas Schranz G. Schweiger Ján Drgovna Basak Falay C. Gomes Alexandros Iosifidis M. Abkar P. Larsen PINN AI4CE 63 98 0 02 Nov 2021
Combining expert knowledge and neural networks to model environmental stresses in agriculture K. Cvejoski Jannis Schuecker Anne-Katrin Mahlein B. Georgiev 23 1 0 26 Oct 2021
An Adaptive Deep Learning Framework for Day-ahead Forecasting of Photovoltaic Power Generation Xing Luo Dongxiao Zhang AI4TS 35 31 0 28 Sep 2021
Learning in Sinusoidal Spaces with Physics-Informed Neural Networks Jian Cheng Wong C. Ooi Abhishek Gupta Yew-Soon Ong AI4CE PINN SSL 86 82 0 20 Sep 2021
Self-explaining variational posterior distributions for Gaussian Process models Sarem Seitz BDL 29 0 0 08 Sep 2021
A Clustering-aided Ensemble Method for Predicting Ridesourcing Demand in Chicago Xiaojian Zhang Xilei Zhao 37 0 0 08 Sep 2021
AI Descartes: Combining Data and Theory for Derivable Scientific Discovery Cristina Cornelio S. Dash V. Austel Tyler R. Josephson Joao Goncalves K. Clarkson N. Megiddo Bachir El Khadir L. Horesh AI4CE 113 7 0 03 Sep 2021
Characterizing possible failure modes in physics-informed neural networks Aditi S. Krishnapriyan A. Gholami Shandian Zhe Robert M. Kirby Michael W. Mahoney PINN AI4CE 121 649 0 02 Sep 2021
Combining Transformers with Natural Language Explanations Federico Ruggeri Marco Lippi Paolo Torroni 71 1 0 02 Sep 2021
Explainable AI for engineering design: A unified approach of systems engineering and component-based deep learning Philipp Geyer M. Singh Xia Chen 28 17 0 30 Aug 2021
Incorporation of Deep Neural Network & Reinforcement Learning with Domain Knowledge Aryan Karn Ashutosh Acharya 37 0 0 29 Jul 2021
A Review of Some Techniques for Inclusion of Domain-Knowledge into Deep Neural Networks T. Dash Sharad Chitlangia Aditya Ahuja A. Srinivasan 112 133 0 21 Jul 2021
Informed Machine Learning for Improved Similarity Assessment in Process-Oriented Case-Based Reasoning Maximilian Hoffmann Ralph Bergmann 43 4 0 30 Jun 2021
Validation of Simulation-Based Testing: Bypassing Domain Shift with Label-to-Image Synthesis Julia Rosenzweig E. Brito H. Kobialka Maram Akila Nico M. Schmidt ... Jan David Schneider Fabian Hüger Matthias Rottmann Sebastian Houben Tim Wirtz 34 4 0 10 Jun 2021