| 2021 | Benign overfitting of fully connected Deep Nets: A Sobolev space viewpoint. | Stphane Chrtien, Emmanuel Caron |
| 2021 | A Multi-ELM Model for Incomplete Data. | Baichuan Chi, Amaury Lendasse, Edward R. Ratner, Renjie Hu |
| 2021 | Object Detection on Thermal Images: Performance of YOLOv4 Trained on Small Datasets. | Maxence Chaverot, Maxime Carr, Michel Jourlin, Abdelaziz Bensrhair, Richard Grisel |
| 2021 | Handling Correlations in Random Forests: which Impacts on Variable Importance and Model Interpretability? | Marie Chavent, Jrme Lacaille, Alex Mourer, Madalina Olteanu |
| 2021 | IF: Iterative Fractional Optimization. | Sarthak Chatterjee, Subhro Das, Srgio Pequito |
| 2021 | Density Independent Self-organized Support for Q-Value Function Interpolation in Reinforcement Learning. | Antonin Calba, Alain Dutech, Jrmy Fix |
| 2021 | Hierarchical Planning in Multilayered State-Action Networks. | Matthias Brucklacher, Hanspeter A. Mallot, Tristan Baumann |
| 2021 | Machine Learning for Measuring and Analyzing Online Social Communications. | Chris Bronk, Amaury Lendasse, Peggy Lindner, Dan S. Wallach, Barbara Hammer |
| 2021 | Federated Learning Vector Quantization. | Johannes Brinkrolf, Barbara Hammer |
| 2021 | Dynamic clustering and modeling of temporal data subject to common regressive effects. | Louise Bonfils, Allou Sam, Latifa Oukhellou |
| 2021 | In-Station Train Movements Prediction: from Shallow to Deep Multi Scale Models. | Gianluca Boleto, Luca Oneto, Matteo Cardellini, Marco Maratea, Mauro Vallati, Renzo Canepa, Davide Anguita |
| 2021 | An Algorithmic Approach to Establish a Lower Bound for the Size of Semiring Neural Networks. | Martin Bhm, Thomas Schmid |
| 2021 | Quantifying Resemblance of Synthetic Medical Time-Series. | Karan Bhanot, Saloni Dash, Joseph Pedersen, Isabelle Guyon, Kristin P. Bennett |
| 2021 | Convolutional Neural Network Architecture for Classification of Aircraft Engines Flight Time Series. | Delphine Bay, Clmence Bisot |
| 2021 | A bag of nodes primer on weightless graph classification. | Raul Barbosa, Diego Carvalho, Priscila Lima, Felipe M. G. Frana |
| 2021 | Sparse mixture of von Mises-Fisher distribution. | Florian Barbaro, Fabrice Rossi |
| 2021 | Deep learning for graphs. | Davide Bacciu, Filippo Maria Bianchi, Benjamin Paassen, Cesare Alippi |
| 2021 | Geometric Probing of Word Vectors. | Madina Babazhanova, Maxat Tezekbayev, Zhenisbek Assylbekov |
| 2021 | Differentially Private Time Series Generation. | Hiba Arnout, Johanna Bronner, Thomas A. Runkler |
| 2021 | Unsupervised Real-time Anomaly Detection for Multivariate Mobile Phone Traffic Series. | Evelyne Akopyan, Angelo Furno, Nour-Eddin El Faouzi, Eric Gaume |
| 2021 | Enhancing brain decoding using attention augmented deep neural networks. | Ismail Alaoui Abdellaoui, Jess Garca Fernndez, Caner Sahinli, Siamak Mehrkanoon |
| 2021 | Multiobjective Reinforcement Learning in Optimized Drug Design. | Maryam Abbasi, Tiago Pereira, Beatriz P. Santos, Bernardete Ribeiro, Joel Arrais |
| 2021 | Evolutionary Deep Multi-Task Learning. | Patrick Burke, Jonas Prellberg, Oliver Kramer |
| 2020 | 3D U-Net for Segmentation of Plant Root MRI Images in Super-Resolution. | Yi Zhao, Nils Wandel, Magdalena Landl, Andrea Schnepf, Sven Behnke |
| 2020 | An Empirical Study of Iterative Knowledge Distillation for Neural Network Compression. | Sharan Yalburgi, Tirtharaj Dash, Ramya Hebbalaguppe, Srinidhi Hegde, Ashwin Srinivasan |