Publications – From October 2022 to October 2023

List of Notable Publications in top 10% by field

October 2022 to March 2023

Title	Journal/conference	Authors	IF *
Solving Explainability Queries with Quantification: The Case of Feature Relevancy.	The 37th AAAI conference on Artificial intelligence (AAAI 2023)	Huang, Xuanxiang; Izza, Yacine; Marques-Silva, Joao.	3.4
Zeroth-Order Optimization with Trajectory-Informed Derivative Estimation	11th International Conference on Learning Representations (ICLR 2023)	Yao Shu, Zhongxiang Dai, Weicong Sng, Arun Verma, Patrick Jaillet, Bryan Kian Hsiang Low
Risk-Aware Reinforcement Learning with Coherent Risk Measures and Non-linear Function Approximation	11th International Conference on Learning Representations (ICLR 2023)	Chi Thanh Lam, Arun Verma, Bryan Kian Hsiang Low, Patrick Jaillet
No-regret Sample-efficient Bayesian Optimization for Finding Nash Equilibria with Unknown Utilities	26th International Conference on Artificial Intelligence and Statistics (AISTATS 2023)	Sebastian Shenghong Tay, Quoc Phong Nguyen, Chuan Sheng Foo, Bryan Kian Hsiang Low
Pruning during training by network efficacy modeling	Machine Learning, 2023	Mohit Rajpal, Yehong Zhang, Bryan Kian Hsiang Low	5.41
Modeling systems from partial observations.	Frontiers Materials	V. Champaney, V.J. Amores, S. Garois, L. Irastorza-Valera, C. Ghnatios, F.J. Montáns, E. Cueto, F. Chinesta	3.7
Thermodynamics-informed neural networks for physically realistic mixed reality	Computer Methods in Applied Mechanics and Engineering	Q. Hernandez, A. Badías, F. Chinesta, E. Cueto	6.58
Physics Informed Reinforced Learning for Perception and Reasoning about Fluids	Computational Mechanics	B. Moya, A. Badias, D. Gonzalez, F. Chinesta, E. Cueto	4.39
Port-metriplectic neural networks: thermodynamics-informed machine learning of complex physical systems	Computational Mechanics	Q. Hernandez, A. Badias, F. Chinesta, E. Cueto.	4.39
Conciliating accuracy and efficiency to empower engineering based on performance: a short journey	Comptes Rendus Académie de Sciences	F. Chinesta, E. Cueto.
Joint majorization-minimization for nonnegative matrix factorization with the beta-divergence	Signal Processing, 2023	A. Marmin, J. H. de M. Goulart, C. Févotte	4.73
Majorization-minimization for sparse nonnegative matrix factorization with the beta-divergence	IEEE Transactions on Signal Processing, 2023	A. Marmin, J.H. de M. Goulart, C. Févotte	5.23
LaserMix for Semi-Supervised LiDAR Semantic Segmentation	CVPR 2023 (Highlight)	Lingdong Kong, Jiawei Ren, Liang Pan, Ziwei Liu
ConDA: Unsupervised Domain Adaptation for LiDAR Segmentation via Regularized Domain Concatenation	ICRA 2023	Lingdong Kong,∗, Niamul Quader, Venice Erin Liong
ParaGlassMenu: Towards Social-Friendly Subtle Interactions in Conversations	CHI 2023	Runze Cai, Nuwan Janaka, Shengdong Zhao, Minghui Sun
What Did You Learn To Hate? A Topic-Oriented Analysis of Generalization in Hate Speech Detection	European Chapter of the Association for Computational Linguistics EACL 2023	Tom Bourgeade, Patricia Chiril, Farah Benamara, Véronique Moriceau
Topic Refinement in Multi-Level Hate Speech Detection	European Conference on Information Retrieval ECIR 2023	Tom Bourgeade, Patricia Chiril, Farah Benamara, Véronique Moriceau
A Multilingual Dataset of Racial Stereotypes in Social Media Conversational Threads	Findings of the European Chapter of the Association for Computational Linguistics EACL 2023	Tom Bourgeade Alessandra Cignarella, Simona Frenda, Mario Laurent, Wolfgang Schmeisser-Nieto, Farah Benamara, Cristina Bosco, Véronique Moriceau, Viviana Patti and Mariona Taulé
Towards Summary Candidates Fusion	Conference on Empirical Methods in Natural Language Processing EMNLP 2022	Mathieu Ravaut, Shafiq R. Joty, Nancy F. Chen

April 2023 to October 2023

Title	Journal/conference	Authors	IF *
On computing probabilistic abductive explanations [WP1]	International Journal of Approximation Reasoning 159: 108939, 2023	Yacine Izza, Xuanxiang Huang, Alexey Ignatiev, Nina Narodytska, Martin C. Cooper, João Marques-Silva	4.45
On Scalable Testing of Samplers [WP1]	Accepted at NeurIPS 2023	Yash Pote, Kuldeep S; Meel.	A*
Sequential Learning Algorithms for Contextual Model-Free Influence Maximization [WP2]	29th ACM SIGKDD Conference On Knowledge Discovery And Data Mining (ACM KDD) 2023	Alexandra Iacob, Bogdan Cautis, Silviu Maniu	A*
Influence Maximization with Fairness at Scale [WP2]	29th ACM SIGKDD Conference On Knowledge Discovery And Data Mining (ACM KDD) 2023	Yuting Feng, Ankit Ravikumar, Bogdan Cautis, Hossein Vahabi	A*
Deep Unrolling for Nonconvex Robust Principal Component Analysis [WP3]	Machine Learning and Signal Processing – MLSP 2023.	Elizabeth Z. C. Tan, Caroline Chaux, Emmanuel Soubies, and Vincent Y. F. Tan	A*
MAP-informed Unrolled Algorithms for Hyper-parameter Estimation [WP3]	International Conference on Image Processing – ICIP 2023	Pascal Nguyen, Emmanuel Soubies, Caroline Chaux	A*
Exploiting ideal-sparsity in the generalized moment problem with application to matrix factorization ranks. [WP3]	Math. Program. (2023).	Korda, M., Laurent, M., Magron, V. et al.	3.06
Pell’s equation, sum-of-squares and equilibrium measures on a compact set. [WP3]	Comptes Rendus Mathématique 361, pp. 935—952, 2023	Lasserre J.B.
RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions. [WP4]	Proceedings of NeurIPS 2023 Track Datasets and Benchmarks.  To appear.	Lingdong Kong, Shaoyuan Xie, Hanjiang Hu, Lai Xing Ng, Benoit R Cottereau, Wei Tsang Ooi	A*
Multi-Document Summarization with Centroid-Based Pretraining. [WP5]	Association for Computational Linguistics ACL’23; pages 128–138, 2023.	Ratish Surendran Puduppully, Parag Jain, Nancy Chen, and Mark Steedman.	A*
An Exploratory Study on Model Compression for Text-to-SQL. [WP5]	Findings of the Association for Computational Linguistics: ACL 2023, 11647–11654	Shuo Sun, Yuze Gao, Yuchen Zhang, Jian Su, Bin Chen, Yingzhan Lin, Shuqi Sun.	A*
An Integrated Approach for Political Bias Prediction and Explanation Based on Discursive Structure. [WP5]	Findings of the Association for Computational Linguistics: ACL 2023, 11196–11211.	Nicolas Devatine, Philippe Muller, and Chloé Braud.	A*
The Problem of the Responsibility of the “Nobody” [WP6]	Journal – Divus Thomas	Ang, Jennifer.
Towards Safe Model-Free Building Energy Management using Masked Reinforcement Learning [WP8]	IEEE International Smartgrids Technologies Conference – ISGT 2023	Sharath Ram Kumar, Remy Rigo-Mariani, Benoit Delinchant, Arvind Easwaran	A*
Physics informed and data-based augmented learning in structural health diagnosis [WP9]	Computer Methods in Applied Mechanics and Engineering	D. Di Lorenzo, V. Champaney, J.Y. Marzin, C. Farhat, F. Chinesta	6.58
Themodynamics of learning physical phenomena [WP9]	Archives of Computational Methods in Engineering	E. Cueto and F. Chinesta	8.17

List of Other Publications

October 2022 to March 2023

Title	Journal/Conference	Authors
Social Influence-Maximizing Group Recommendation	AAAI ICWSM 2023	Yangke Sun, Bogdan Cautis, Silviu Maniu
Regularized regressions for parametric models based on separated representations	Advanced Modeling and Simulation in Engineering Sciences	A. Sancarlos, V. Champaney, E. Cueto, F. Chinesta
Optimal velocity planning based on the solution of the Euler-Lagrange equations with a neural network-based velocity regression	Discrete and Continuous Dynamical Systems	C. Ghnatios, D. di Lorenzo, V. Champaney, E. Cueto, F. Chinesta
On the use of synthetic images in deep learning for defect recognition in industrial infrastructures	6th International Conference on Machine Vision and Applications (ICMVA 2023)	C. Mailhe, A. Ammar, F. Chinesta
A disintegration of the Christoffel function	Comptes Rendus Mathématique, 360, pp. 1071–1079 , 2022	Lasserre J.B.
Pell’s equation, sum-of-squares and equilibrium measures on a compact set	Comptes Rendus Mathématique (2023)  - to appear	Lasserre J.B.
Class-incremental learning on Multivariate time series via shape-aligned temporal distillation	IEEE ICASSP 2023	Z. Qiao, M. Hu, X. Jiang, PN. Suganthan, S. Ramasamy
MELODI at SemEval-2023 Task 3: In-domain Pre-training For Low-resource Classification of News Articles.	Semeval 2023 (International Workshop on Semantic Evaluation) @ACL 2023	Devatine, Muller & Braud
Tractable & Coherent Multi-Document Summarization: Discrete Optimization of Multiple Neural Modeling Streams via Integer Linear Programming.	Conference on Empirical Methods in Natural Language Processing (EMNLP 2022) Industry Track	Litton J Kurisinkel and Nancy Chen
Entity-based De-noising Modeling for Controllable Dialogue Summarization	SIGDIAL 2022	Zhengyuan Liu, Nancy F. Chen
Behavioural Cloning based RL Agents for District Energy Management	ACM SIGEnergy Workshop on Reinforcement Learning for Energy Management in Buildings & Cities (RLEM), Boston, Nov. 2022	S. R. Kumar, A. Easwaran, B. Delinchant, R. Rigo-Mariani

April 2023 to October 2023

Title	Journal/Conference	Authors
On Computing Relevant Features for Explaining NBCs [WP1]	Enigma – KR’23 workshop	Y. Izza, J. Marques-Silva
How Biased are Your Features?”: Computing Fairness Influence Functions with Global Sensitivity Analysis [WP1]	FaccT 2023	Bishwamittra Ghosh, Debabrota Basu, Kuldeep S. Meel
Reinforcement Planning for effective ε-optimal policies in dense time with discontinuities [WP1]	FSTTCS 2023	Léo Henry, Blaise Genest, Alexandre Drewery
Assessing the Effectiveness of Intrinsic Dimension Estimators for Uncovering the Phase Space Dimensionality of Dynamical Systems from State Observations – A Comparative Analysis [WP2]	DEXA 2023	Félix Chavelli, Zi-Yu Khoo, Jonathan Sze Choong Low, Stéphane Bressan
Confidential Truth Finding with Multi-Party Computation [WP2]	DEXA 2023	Angelo Saadeh, Pierre Senellart, Stéphane Bressan
Celestial Machine Learning – From Data to Mars and Beyond with AI Feynman [WP2]	DEXA 2023	Zi-Yu Khoo, Abel Yang, Jonathan Sze Choong Low, Stéphane Bressan
Controlled synchronization of coupled pendulums by Koopman Model Predictive Control. [WP3]	Control Engineering Practice, Volume 139, 2023.	Loi Do, Milan Korda, Zdeněk Hurák
L’idéal de la ville réplicable au défi des éléments invisibles. De la perspective géométrique aux Digital Twins, les enjeux des liens entre l’espace urbain et ses représentations [WP3+WP9+WPX]	9th edition of the HyperUrbain coloqqium	Marida Di Crosta, Boris Huljak, Caroline Chaux
A modified Christoffel function and its asymptotic properties [WP3]	J. Approximation Theory 295, 2023	Lasserre J.B
Polynomial Optimization, Certificates of Positivity, and Christoffel Function [WP3-WP1]	Polynomial Optimization , Moments and Applications, M. Kocvara, B. Mourrain and C. Riener (Eds.), Springer. In press.	Lasserre J.B
The Moment-SOS hierarchy: Applications and related topics [WP3]	Acta Numerica. To appear.	Lasserre J.B
Comparing How a Chatbot References User Utterances from Previous Chatting Sessions: An Investigation of Users’ Privacy Concerns and Perceptions [WP4]	11th International Conference on Human-Agent Interaction	Samuel Rhys Cox, Yi-Chieh Lee, Wei Tsang Ooi
The DISRPT 2023 Shared Task on Elementary Discourse Unit Segmentation, Connective Detection, and Relation Classification. [WP5]	DISRPT 2023, 1–21, The Association for Computational Linguistics.	Chloé Braud, Yang Janet Liu, Eleni Metheniti, Philippe Muller, Laura Rivière, Attapol Rutherford, and Amir Zeldes.
DisCut and DiscReT: MELODI at DISRPT 2023. [WP5]	DISRPT 2023, 29-42, The Association for Computational Linguistics.	Eleni Metheniti, Chloé Braud, Philippe Muller, and Laura Rivière.
Digital health and the context of smart cities: new ethical issues for care? [WP6]	Colloquium – What digital technology does to care. From AI to clinical intelligence, Université de Dijon,1-2 June	Parizeau, Marie-Hélène
Trust, understanding, & machine translation: the task of translation & the responsibility of the translator. [WP7]	AI & Society (Springer), 2023	Melvin Chen
Take a chance on me: Aleatory poetry, generative AI, & the external demarcation problem. [WP7]	Journal of Aesthetics & Art Criticism (Oxford University Press), To appear	Melvin Chen
Hybrid twins coupling PBDW and machine learning for effective state estimation on complex systems [WP8]	Mechanistic machine learning and digital engineering for Computational Science Engineering and Technology MMLDE-CSET2023	S. Massala, L. Chamoin, M. Pica Ciamarra
Physics Aware Digital Twins as reliable, responsible tools to predict and manage disruptions in urban complex systems. [WPX,9,1]	Science of Cities Symposium USS R&D Congress, October 4-5 2023, Singapore. Panel 1: Complexity and Planning with Uncertainty: Science-Based Approach to Future Scenarios.	F.Chinesta, M. Di Crosta, B. Huljak, A. Ammar, V. Evers, C. Choimet, B. Genest, D. Baillargeat
The city and its replica. From linear perspective to Digital Twins, the challenge of connecting urban space and its representations. [WPX,9,3]	HyperUrbain9: Data Driven City. 9th International symposium on Technologies in Urban Environments, University of Agadir, Morocco. Conference proceeding	Marida Di Crosta, Boris Huljak, Caroline CHAUX
Face-over TV. How a creative use of AI is challenging the visual representation of the human on screen. [WPX]	IAMCR International Conference Lyon 23, Inhabiting the planet: Challenges for media, communication and beyond, July 9-13, Lyon, France	M. Di Crosta