Title
Deep Grey-Box Modeling With Adaptive Data-Driven Models Toward Trustworthy Estimation of Theory-Driven Models Naoya Takeishi Alexandros Kalousis AAML 33 3 0 24 Oct 2022
A Survey on Explainable Anomaly Detection Zhong Li Yuxuan Zhu M. Leeuwen 15 73 0 13 Oct 2022
Compute-Efficient Deep Learning: Algorithmic Trends and Opportunities Brian Bartoldson B. Kailkhura Davis W. Blalock 29 47 0 13 Oct 2022
Requirements Engineering for Machine Learning: A Review and Reflection Zhong Pei Lin Liu Chen Wang Jianmin Wang VLM 32 22 0 03 Oct 2022
Incorporation of Human Knowledge into Data Embeddings to Improve Pattern Significance and Interpretability Jie Li Chunting Zhou 34 9 0 23 Sep 2022
Knowledge-Injected Federated Learning Zhenan Fan Zirui Zhou Jian Pei M. Friedlander Jiajie Hu Chengliang Li Yong Zhang FedML 20 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 24 62 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 14 13 0 26 Jul 2022
Adaptive Self-supervision Algorithms for Physics-informed Neural Networks Shashank Subramanian Robert M. Kirby Michael W. Mahoney A. Gholami 22 25 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 40 28 0 02 Jul 2022
Informed Learning by Wide Neural Networks: Convergence, Generalization and Sampling Complexity Jianyi Yang Shaolei Ren 13 3 0 02 Jul 2022
Modular design patterns for neural-symbolic integration: refinement and combination Till Mossakowski 6 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 11 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 22 3 0 04 Jun 2022
Innovations in Integrating Machine Learning and Agent-Based Modeling of Biomedical Systems N. Sivakumar C. Mura S. Peirce AI4CE 45 21 0 02 Jun 2022
Bayesian Learning to Discover Mathematical Operations in Governing Equations of Dynamic Systems Hongpeng Zhou W. Pan 13 4 0 01 Jun 2022
Informed Pre-Training on Prior Knowledge Laura von Rueden Sebastian Houben K. Cvejoski Christian Bauckhage Nico Piatkowski 21 6 0 23 May 2022
Causal Discovery and Knowledge Injection for Contestable Neural Networks (with Appendices) Fabrizio Russo Francesca Toni CML 16 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 15 29 0 17 May 2022
Deep Learning with Logical Constraints Eleonora Giunchiglia Mihaela C. Stoian Thomas Lukasiewicz NAI AI4CE 22 61 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 34 54 0 31 Mar 2022
Satellite Image and Machine Learning based Knowledge Extraction in the Poverty and Welfare Domain Ola Hall Mattias Ohlsson Thortseinn Rögnvaldsson 14 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 21 57 0 24 Feb 2022
Machine Learning in Aerodynamic Shape Optimization Ji-chao Li Xiaosong Du J. Martins AI4CE 13 184 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 19 4 0 07 Feb 2022
Knowledge-Integrated Informed AI for National Security Anu Myne Kevin J. Leahy Ryan Soklaski 11 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 14 15 0 04 Feb 2022
Knowledge Informed Machine Learning using a Weibull-based Loss Function Tim Hahn C. Mechefske 11 14 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 11 11 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 14 7 0 15 Dec 2021
Causal Knowledge Guided Societal Event Forecasting Songgaojun Deng Huzefa Rangwala Yue Ning AI4TS 24 2 0 10 Dec 2021
A coarse space acceleration of deep-DDM Valentin Mercier Serge Gratton Pierre Boudier AI4CE 25 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 54 83 0 06 Dec 2021
Multicriteria interpretability driven Deep Learning M. Repetto 11 13 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 15 20 0 15 Nov 2021
A Survey on Neural-symbolic Learning Systems Dongran Yu Bo Yang Da Liu Hui Wang Shirui Pan 19 55 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 20 91 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 13 1 0 26 Oct 2021
An Adaptive Deep Learning Framework for Day-ahead Forecasting of Photovoltaic Power Generation Xing Luo Dongxiao Zhang AI4TS 23 29 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 16 76 0 20 Sep 2021
Self-explaining variational posterior distributions for Gaussian Process models Sarem Seitz BDL 14 0 0 08 Sep 2021
A Clustering-aided Ensemble Method for Predicting Ridesourcing Demand in Chicago Xiaojian Zhang Xilei Zhao 9 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 19 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 20 604 0 02 Sep 2021
Combining Transformers with Natural Language Explanations Federico Ruggeri Marco Lippi Paolo Torroni 17 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 11 13 0 30 Aug 2021
Incorporation of Deep Neural Network & Reinforcement Learning with Domain Knowledge Aryan Karn Ashutosh Acharya 16 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 22 128 0 21 Jul 2021
Informed Machine Learning for Improved Similarity Assessment in Process-Oriented Case-Based Reasoning Maximilian Hoffmann Ralph Bergmann 16 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 16 4 0 10 Jun 2021