Machine Learning Seminar

The aim of the Machine Learning Seminar series is to host presentations on fundamental and methodological advances in data science and machine learning, as well as to discuss application areas presented by domain specialists. The uniqueness of the seminar series lies in its attempt to extract common denominators between domain areas and to challenge existing methodologies. Therefore, the focus is on theory and applications to a wide range of domains, including Computational Physics and Engineering, Computational Biology and Life Sciences, and Computational Behavioural and Social Sciences.

The seminar aims to bring together young and experienced researchers from various disciplines to exchange ideas on Machine Learning techniques. It is currently affiliated with the University of Luxembourg and its DSSE doctoral programme, and is run in partnership with the DTU DRIVEN PRIDE project, funded by the FNR, and the widening participation DRIVEN project, funded by H2020. The seminar also welcomes talks by researchers from a wider collaborative network, including but not limited to early-stage researchers in RAINBOW ITN, as well as current and incoming individual Marie Skłodowska-Curie fellows.

The usual format is as follows: a short presentation (20-30 minutes) followed by a longer discussion (30-40 minutes). The usual time is Wednesdays at 10:00 a.m. (CET). If you are interested in joining, please contact Jakub Lengiewicz. or Elisa GÓMEZ DE LOPE.

Academic year 2023/24


Upcoming seminars

#89

Date: 2024.05.15, 10:00 a.m. (CET)
Title: Exploring Voice AI: Technologies, Algorithms, and Applications in Healthcare
Speaker: Abir Elbeji
Affiliation: Department of Precision Health, Luxembourg Institute of Health, Luxembourg
More info: [click here]


Past seminars

#88

Date: 2024.05.08, 10:00 a.m. (CET)
Title: Machine Learning Force Fields for Large Molecules
Speaker: Adil Kabylda
Affiliation: Department of Physics, FSTM, University of Luxembourg
More info: [click here]


#87

Date: 2023.10.11, 10:00 a.m. (CET)
Title: Multilevel and Domain Decomposition Methods for Training Neural Networks
Speaker: Rolf Krause
Affiliation: Università della Svizzera italiana, Switzerland
More info: [click here]


#86

Date: 2023.10.04, 10:00 a.m. (CET)
Title: Understanding Attention for Modern AI
Speaker: Raul Ian Sosa
Affiliation: NeuralWave technologies & Department of Physics, FSTM, University of Luxembourg
More info: [click here]


#85

Date: 2023.09.20, 2:00 p.m. (CET)
Title: A deep learning-based FOSLS method for second-order elliptic PDEs
Speaker: Juan Pablo Borthagaray
Affiliation: Instituto de Matemática y Estadística, Facultad de Ingeniería, Universidad de la República, Montevideo, Uruguay
More info: [click here]

Academic year 2022/23


#84

Date: 2023.06.21, 10:00 a.m. (CET)
Title: Accelerating FEM with machine learning: an introduction to the Integrated Finite Element Neural Network (I-FENN)
Speaker: Panos Pantidis
Affiliation: New York University Abu Dhabi, United Arab Emirates
More info: [click here]


#83

Date: 2023.06.14, 10:00 a.m. (CET)
Title: “Freedom of design” in chemical compound space
Speaker: Leonardo Medrano Sandonas
Affiliation: Department of Physics and Materials Science; University of Luxembourg
More info: [click here]


#82

Date: 2023.06.07, 10:00 a.m. (CET)
Title:
Encoding Domain Expertise into Multilevel Models for Infrastructure Monitoring
Speaker: Lawrence A. Bull
Affiliation:
Engineering Department at the University of Cambridge, UK
More info:
[click here]


#81

Date: 2023.05.10, 10:00 a.m. (CET)
Title:
Joint optimisation of energy harvesting and sensing of piezoelectric energy harvesters in a cable-stayed bridge based on a deep learning framework
Speaker: Patricio Peralta-Braz
Affiliation: School of Civil and Environmental Engineering, University of New South Wales, Sydney, Australia
More info: [click here]


#80

Date: 2023.05.03, 10:00 a.m. (CET)
Title: Unsupervised Computer Vision-Based Approach for Bridge Damage Assessment Applying Drive-by Inspection Technology
Speaker: Andres Felipe Calderon Hurtado
Affiliation: School of Civil and Environmental Engineering, University of New South Wales, Sydney, Australia
More info: [click here]


#79

Date: 2023.04.26, 10:00 a.m. (CET)
Title: Machine Learning Seminar meeting: Learning scientific simulations with aggregation and attention-based neural networks
Speaker: Saurabh Deshpande
Affiliation: Faculty of Science, Technology and Medicine; University of Luxembourg
More info: [click here]


#78

Date: 2023.04.19, 10:00 a.m. (CET)
Title: Variational Formulations for Solving PDEs with Non-Smooth Solutions using Non-Linear Surrogates: An Innovative Approach
Speaker: Juan Esteban Suarez
Affiliation: Department of Mathematics at the Technical University of Dresden, Germany
More info: [click here]


#77

Date: 2023.03.29, 10:00 a.m. (CET)
Title: Adversarial Examples: bugs, features, or just categorical learning in a small world?
Speaker: Sahar Niknam
Affiliation: Department of Computer Science; Faculty of Science Technology and Medicine; University of Luxembourg
More info: [click here]


#76

Date: 2023.03.22, 10:00 a.m. (CET)
Title: Exploring the Potentials and Pitfalls of GPT Models in Scientific Research
Speaker: Raul Ian Sosa
Affiliation: Department of Physics and Materials Science; Faculty of Science Technology and Medicine; University of Luxembourg
More info: [click here]


#75

Date: 2023.03.15, 10:00 a.m. (CET)
Title: LuxemBERT – A Language Model for the Luxembourgish Language
Speaker: Cedric Lothritz
Affiliation: Interdisciplinary Centre for Security, Reliability and Trust; University of Luxembourg
More info: [click here]


#74

Date: 2023.03.08, 10:00 a.m. (CET)
Title: Introduction to Physics-Informed Neural Networks: Methods, Tools, and Trends
Speaker: Mohammad Mahdi Rajabi
Affiliation: Department of Engineering; Faculty of Science, Technology and Medicine; University of Luxembourg
More info: [click here]


#73

Date: 2023.03.01, 10:00 a.m. (CET)
Title: Deep Learning Technologies for Natural Language Understanding
Speaker: Joshgun Sirajzade
Affiliation: Department of Computer Science; Faculty of Science Technology and Medicine; University of Luxembourg
More info: [click here]


#72

Date: 2023.02.22, 10:00 a.m. (CET)
Title: On Learning- and Optimization-based Methods for Risk-Averse Control of Autonomous Systems
Speaker: Riccardo Bonalli
Affiliation: Laboratory of Signals and Systems, Université Paris-Saclay, France
More info: [click here]


#71

Date: 2023.02.15, 10:00 a.m. (CET)
Title: Learning quantum fuzzy orbits from coherent data
Speaker: Jesús Fuentes
Affiliation: Luxembourg Centre for Systems Biomedicine, University of Luxembourg
More info: [click here]


#70

Date: 2023.01.18, 10:00 a.m. (CET)
Title: Statistical methods in observational Cosmology
Speaker: Philippe Baratta
Affiliation: Aix-Marseille University and CPPM, Marseille, France
More info: [click here]


#69

Date: 2023.01.11, 10:00 a.m. (CET)
Title: How can we make tumour predictions when we do not understand everything?
Speaker: Haralampos Hatzikirou
Affiliation: Faculty of Mathematics, Khalifa University, United Arab Emirates
More info: [click here]


#68

Date: 2022.11.30, 10:00 a.m. (CET)
Title: Concept-based explanations for convolutional neural networks
Speaker: Andres Posada Moreno
Affiliation: Institute for Data Science in Mechanical Engineering at the RWTH Aachen University, Germany
More info: [click here]


#67

Date: 2022.11.23, 10:00 a.m. (CET)
Title: A time-evolving digital twin tool for engineering dynamics applications
Speaker: David Wagg
Affiliation: Department of Mechanical Engineering, University of Sheffield, UK
More info: [click here]


#66

Date: 2022.11.09, 10:00 a.m. (CET)
Title: A CNN-based Semi-Supervised Learning Approach for the Detection of SS7 Attacks
Speaker: Orhan Ermis
Affiliation: Luxembourg Institute of Science and Technology (LIST)
More info: [click here]


#65

Date: 2022.10.26, 10:00 a.m. (CET)
Title: Multi-target Compiler for the Deployment of Machine Learning Models
Speaker: Oscar Castro
Affiliation: Luxembourg Institute of Science and Technology (LIST)
More info: [click here]


#64

Date: 2022.10.05, 10:00 a.m. (CET)
Title: Artificial intelligence is really the best solution for systems with unpredictable behavior? A comparative study between ANN and Multi-model approach
Speaker: Inès Chihi
Affiliation: Department of Engineering; Faculty of Science Technology and Medicine; University of Luxembourg
More info: [click here]


#63

Date: 2022.09.28, 10:00 a.m. (CET)
Title: AI Act: a grasp of the future EU regulation on AI and its impact on AI practitioners
Speaker: Samuel Renault
Affiliation: Luxembourg Institute of Science and Technology (LIST)
More info: [click here]


#62

Date: 2022.09.21, 10:00 a.m. (CET)
Title: Multilevel training of deep neural networks
Speaker: Alena Kopanicakova
Affiliation: Division of Applied Mathematics, Brown University, Providence, USA
More info: [click here]


Academic year 2021/22

#61

Date: 2022.07.06, 10:00 a.m. (CET)
Title: Machine Learning in Space Weather and how to handle it
Speaker: Guendalina Palmirotta
Affiliation: European Space Agency, Germany
More info: [click here]


#60

Date: 2022.06.29, 10:00 a.m. (CET)
Title: Artificial Neural Network Method Based on Boundary Integral Equations
Speaker: Han Zhang
Affiliation: University of New South Wales (UNSW Sydney), Australia
More info: [click here]


#59

Date: 2022.06.22, 10:00 a.m. (CET)
Title: Using Physics-Informed constrained neural network to reconstruct the motion of the particles for time more than the training time
Speaker: Fateme Darlik
Affiliation: Faculty of Science Technology and Medicine, University of Luxembourg
More info: [click here]


#58

Date: 2022.06.01, 10:00 a.m. (CET)
Title: Design of a chat bot for service-now knowledge base
Speaker: Aishwarya Krishnan
Affiliation: Faculty of Science Technology and Medicine; University of Luxembourg
More info: [click here]


#57

Date: 2022.05.11, 10:00 a.m. (CET)
Title: The problem with GPT for the Humanities (and for humanity)
Speaker: Lorella Viola
Affiliation: Luxembourg Centre for Contemporary and Digital History (C2DH ), University of Luxembourg
More info: [click here]


#56

Date: 2022.05.04, 10:00 a.m. (CET)
Title: Gaussian Process Regression with anisotropic kernel for supervised feature selection
Speaker: Aubin Geoffre
Affiliation: École Mines de Saint-Étienne, France
More info: [click here]


#55

Date: 2022.04.13, 10:00 a.m. (CET)
Title: Non-parametric data-driven constitutive modelling using artificial neural networks
Speaker: Vu M. Chau
Affiliation: Department of Engineering; Faculty of Science Technology and Medicine; University of Luxembourg
More info: [click here]


#54

Date: 2022.03.16, 10:00 a.m. (CET)
Title: Deformation approximation : Improve your Artificial Neural Network training using the Finite Element Method formulation. A case for static deformations
Speaker: Alban Odot
Affiliation: INRIA Strasbourg (MIMESIS-Inria), France
More info: [click here]


#53

Date: 2022.03.02, 10:00 a.m. (CET)
Title: Parametric model order reduction with an adaptive greedy sampling approach based on surrogate modeling. An application of the pMOR in financial risk analysis
Speaker: Onkar Jadhav
Affiliation: Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg
More info: [click here]


#52

Date: 2022.02.23, 3:00 p.m. (CET)
Title: Kernel Thinning and Stein Thinning
Speaker: Lester Mackey
Affiliation: Microsoft Research New England & Stanford University, USA
More info: [click here]


#51

Date: 2022.02.16, 10:00 a.m. (CET)
Title: ELBO-within-Stein: General and integrated Stein Variational Inference
Speaker: Ola Rønning
Affiliation: Department of Computer Science, University of Copenhagen, Denmark
More info: [click here]


#50

Date: 2022.02.09, 10:00 a.m. (CET)
Title: Efficient generative modelling of protein structure fragments using a Deep Markov Model
Speaker: Christian Thygesen
Affiliation: Evaxion / University of Copenhagen, Denmark
More info: [click here]


#49

Date: 2022.02.02, 10:00 a.m. (CET)
Title: Deep probabilistic programming and the protein folding problem (This talk also serves as intro for the two following talks, #50 and #51)
Speaker: Thomas Hamelryck
Affiliation: Department of Computer Science, University of Copenhagen, Denmark
More info: [click here]


#48

Date: 2022.01.26, 10:00 a.m. (CET)
Title: Accelerating the solution of parameterized partial differential equations using machine learning tools
Speaker: Ioannis Kalogeris
Affiliation: Computational Science and Engineering Laboratory, ETH Zurich, Switzerland
More info: [click here]


#47

Date: 2022.01.19, 10:00 a.m. (CET)
Title: Understanding the determinants of well-being: a case study in interpretable machine learning
Speaker: Niccolo Gentile
Affiliation: Faculty of Humanities, Education and Social Sciences; University of Luxembourg
More info: [click here]


#46

Date: 2022.01.12, 10:00 a.m. (CET)
Title: Criticality Analysis for Non-linear Data Representation
Speaker: Tjeerd V. olde Scheper
Affiliation: School of Engineering, Computing and Mathematics, Oxford Brookes University, UK
More info: [click here]


#45

Date: 2021.12.08, 10:00 a.m. (CET)
Title: Deep neural network on PDEs
Speaker: Ayan Chakraborty
Affiliation: Faculty of Mathematics and Physics, Leibniz University Hannover, Germany
More info: [click here]


#44

Date: 2021.11.24, 10:00 a.m. (CET)
Title: Causal Inference & Causal Learning: Towards Causal ML (Part 3 of 3)
Speaker: Marharyta Aleksandrova
Affiliation: Faculty of Science, Technology and Medicine; University of Luxembourg
More info: [click here]


#43

Date: 2021.11.17, 10:00 a.m. (CET)
Title: The epistemic artificial intelligence project
Speaker: Fabio Cuzzolin
Affiliation: School of Engineering, Computing and Mathematics; Oxford Brookes University, UK
More info: [click here]


#42

Date: 2021.11.10, 10:00 a.m. (CET)
Title: Causal Inference & Causal Learning: Towards Causal ML (Part 2 of 3)
Speaker: Marharyta Aleksandrova
Affiliation: Faculty of Science, Technology and Medicine; University of Luxembourg
More info: [click here]


#41

Date: 2021.11.03, 10:00 a.m. (CET)
Title: Causal Inference & Causal Learning: Towards Causal ML (Part 1 of 3)
Speaker: Marharyta Aleksandrova
Affiliation: Faculty of Science, Technology and Medicine; University of Luxembourg
More info: [click here]


#40

Date: 2021.10.27, 10:00 a.m. (CET)
Title: Markov Logic Networks: A step towards interpretable AI
Speaker: Vladimir Despotovic
Affiliation: Faculty of Science, Technology and Medicine; University of Luxembourg
More info: [click here]


#39

Date: 2021.10.20, 10:00 a.m. (CET)
Title: A data-driven approach for the prediction and optimization of an industrial scale chemical vapour deposition process
Speaker: Paris Papavsileiou
Affiliation: Faculty of Science, Technology and Medicine; University of Luxembourg
More info: [click here]


#38

Date: 2021.10.06, 10:00 a.m. (CET)
Title: Neural-network acceleration of projection-based model-order-reduction for finite plasticity: Application to RVEs
Speaker: Soumianarayanan Vijayaraghavan
Affiliation: Faculty of Science, Technology and Medicine; University of Luxembourg
More info: [click here]


#37

Date: 2021.09.29, 10:00 a.m. (CET)
Title: Surrogate Deep Learning Framework for Real-Time Hyper-Elastic Simulations with Uncertainties
Speaker: Saurabh Deshpande
Affiliation: Faculty of Science, Technology and Medicine; University of Luxembourg
More info: [click here]


#36

Date: 2021.09.22, 10:00 a.m. (CET)
Title: Conformal Prediction – Machine Learning with Accuracy Guarantees
Speaker: Marharyta Aleksandrova
Affiliation: Faculty of Science, Technology and Medicine; University of Luxembourg
More info: [click here]


#35

Date: 2021.09.15, 10:00 a.m. (CET)
Title: TensAIR: an asynchronous and decentralized framework to distribute artificial neural networks training
Speaker: Mauro Dalle Lucca Tosi
Affiliation: Faculty of Science, Technology and Medicine; University of Luxembourg
More info: [click here]


Academic year 2020/21

#34

Date: 2021.07.14, 10:00 a.m. (CET)
Title: Second-order methods for deep learning
Speaker: Alessandro Temperoni
Affiliation: Faculty of Science, Technology and Medicine; University of Luxembourg
More info: [click here]


#33

Date: 2021.07.07, 10:00 a.m. (CET)
Title: Exploring significant predictors of freight rail intermodal operation delays using causal Machine Learning
Speaker: Juan Pineda-Jaramillo
Affiliation: Faculty of Science, Technology and Medicine; University of Luxembourg
More info: [click here]


#32

Date: 2021.06.30, 10:00 a.m. (CET)
Title: Approximating Hessians for Neural Networks
Speaker: Maciej Skorski
Affiliation: Faculty of Science, Technology and Medicine; University of Luxembourg
More info: [click here]


#31

Date: 2021.06.16, 10:00 a.m. (CET)
Title: Enhancing Public Transport Demand Information Using Crowdsourced Data
Speaker: Piergiorgio Vitello
Affiliation: Faculty of Science, Technology and Medicine; University of Luxembourg
More info: [click here]


#30

Date: 2021.06.02, 10:00 a.m. (CET)
Title: Robust estimation of a regression function in exponential families
Speaker: Juntong Chen
Affiliation: Faculty of Science, Technology and Medicine; University of Luxembourg
More info: [click here]


#29

Date: 2021.05.19, 10:00 a.m. (CET)
Title: Leveraging Deep Learning-Assisted Attacks against Image Obfuscation via Federated Learning
Speaker: Jimmy Tekli
Affiliation: BMW Group & Université de Franche-Comté, France
More info: [click here]


#28

Date: 2021.05.12, 10:00 a.m. (CET)
Title: Neural network supported surrogate models for particle-laden flow
Speaker: Fateme Darlik
Affiliation: Faculty of Science, Technology and Medicine; University of Luxembourg
More info: [click here]


#27

Date: 2021.05.05, 10:00 a.m. (CET)
Title: A classification of machine learning approaches for the social and health sciences
Speaker: Anja Leist
Affiliation: Department of Social Sciences; Faculty of Humanities, Education and Social Sciences; University of Luxembourg
More info: [click here]


#26

Date: 2021.04.28, 10:00 a.m. (CET)
Title: Acceleration of CFD calculations using Reduced Order Modeling. Application in CVD processes
Speaker: Pavlos Gkinis
Affiliation: National Technical University of Athens, Grece
More info: [click here]


#25

Date: 2021.04.21, 10:00 a.m. (CET)
Title: Some applications of deep learning from image security, to medical image, through IoT physiological signal
Speaker: Raphaël Couturier
Affiliation: FEMTO-ST Institute, University Bourgogne Franche-Comté (UBFC), CNRS, France
More info: [click here]


#24

Date: 2021.04.14, 10:00 a.m. (CET)
Title: Multiscale Poro-Hyperelasticity using ANNs
Speaker: Hamidreza Dehghani
Affiliation: Faculty of Science, Technology and Medicine; University of Luxembourg
More info: [click here]


#23

Date: 2021.04.07, 10:00 a.m. (CET)
Title: Probabilistic modeling and identification of intercorrelated random fields with bounds: Application to linear elastic struts and fibers
Speaker: Hussein Rappel
Affiliation: The Alan Turing Institute, UK
More info: [click here]


#22

Date: 2021.03.31, 10:00 a.m. (CET)
Title: Predicting air pollution using remote sensing and sensors measurement
Speaker: Hichem Omrani
Affiliation: Luxembourg Institute of Socio-Economic Research (LISER)
More info: [click here]


#21

Date: 2021.03.24, 10:00 a.m. (CET)
Title: An Industry view on ML: CERATIZIT technology landscape and the art of collaborating with an industrial partner
Speaker: Gabriele Pozzetti
Affiliation: Manager \ Artificial Intelligence and Data Science \ CERATIZIT
More info: [click here]


#20

Date: 2021.03.17, 10:00 a.m. (CET)
Title: Uncertainty precision and reliability of Ecohydrological models: Bayesian model selection
Speaker: Damian Mingo Ndiwago
Affiliation: Faculty of Science, Technology and Medicine; University of Luxembourg
More info: [click here]


#19

Date: 2021.03.10, 10:00 a.m. (CET)
Title: Machine learning for molecular simulations
Speaker: Igor Poltavskyi
Affiliation: Department of Physics and Materials Science; Faculty of Science, Technology and Medicine; University of Luxembourg
More info: [click here]


#18

Date: 2021.02.24, 10:00 a.m. (CET)
Title: Tree based algorithms: implementing Conditional Inference Trees and Forest for old age Frailty Index predictions
Speaker: Carlotta Montorsi
Affiliation: Luxembourg Institute of Socio-Economic Research (LISER), Luxembourg
More info: [click here]


#17

Date: 2021.02.17, 10:00 a.m. (CET)
Title: Data-driven constitutive laws for hyperelasticity modeling in eigenspace using algorithmic differentiation coupling FEniCS-Pytorch model: application to RVEs
Speaker: Vu M. Chau
Affiliation: Faculty of Science, Technology and Medicine; University of Luxembourg
More info: [click here]


#16

Date: 2021.02.10, 10:00 a.m. (CET)
Title: Reinforcement Learning based Meta-path Design for Heterogeneous Graph Neural Network
Speaker: Zhiqiang Zhong
Affiliation: Faculty of Science, Technology and Medicine; University of Luxembourg
More info: [click here]


…the earlier seminars will appear soon…