RECENT SCHOLAR PUBLICATIONS
- Molecular set representation learningM Boulougouri, P Vandergheynst, D Probst 2024
- Towards improving full-length ribosome density prediction by bridging sequence and graph-based representationsMV Nallapareddy, F Craighero, C Gobet, F Naef, P VandergheynstbioRxiv, 2024.04. 08.588507 2024
- Beyond fine-tuning: LoRA modules boost near-OOD detection and LLM securityE Salimbeni, F Craighero, R Khasanova, M Vasic, P VandergheynstICLR 2024 Workshop on Secure and Trustworthy Large Language Models 2024
- Molecular Set Representation LearningD Probst, M Boulougouri, P Vandergheynst 2023
- Implicit Gaussian process representation of vector fields over arbitrary latent manifoldsRL Peach, M Vinao-Carl, N Grossman, M David, E Mallas, D Sharp, ...arXiv preprint arXiv:2309.16746 2023
- Interpretable statistical representations of neural population dynamics and geometryR Peach, A Arnaudon, M Barahona, P Vandergheynst, A Gosztolai 2023
- Interpretable statistical representations of neural population dynamics and geometryA Gosztolai, RL Peach, A Arnaudon, M Barahona, P VandergheynstarXiv preprint arXiv:2304.03376 2023
- Interpretable Inflammation Landscape of Circulating Immune cellsL Jimnez-Gracia, D Maspero, S Aguilar-Fernndez, F Craighero, S Ruiz, ...bioRxiv, 2023.11. 28.568839 2023
- Exploring" dark matter" protein folds using deep learningZ Harteveld, A Van Hall-Beauvais, I Morozova, J Southern, CA Goverde, ...bioRxiv, 2023.08. 30.555621 2023
- Generalised implicit neural representationsD Grattarola, P VandergheynstAdvances in Neural Information Processing Systems 35, 30446-30458 2022
- Deep sharpening of topological features for de novo protein designZ Harteveld, J Southern, M Defferrard, A Loukas, P Vandergheynst, ...ICLR2022 Machine Learning for Drug Discovery 2022
- RosettaSurf—A surface-centric computational design approachA Scheck, S Rosset, M Defferrard, A Loukas, J Bonet, P Vandergheynst, ...PLOS Computational Biology 18 (3), e1009178 2022
- Locating Temporal Functional Dynamics of Visual Short-Term Memory Binding using Graph Modular Dirichlet EnergyA Ibez, MA Parra, J Escudero, P Vandergheynst 2022
- On the Experimental Transferability of Spectral Graph Convolutional NetworksP VANDERGHEYNSTEPFL, Lausanne, Switzerland 2020
- What is trending on wikipedia? capturing trends and language biases across wikipedia editionsV Miz, J Hanna, N Aspert, B Ricaud, P VandergheynstCompanion proceedings of the Web conference 2020, 794-801 2020
- Spectrobank: A filter-bank convolutional layer for cnn-based audio applicationsHP Tukuljac, B Ricaud, N Aspert, P Vandergheynst 2019
- Omnidirectional sensor array systemL Bagnato, L Jacques, P Vandergheynst, H Afshari, A Schmid, Y LeblebiciUS Patent 10,362,225 2019
- Spherical Convolutional Neural NetworksP Vandergheynst, M Defferrard, N Perraudin 2019
- The role of invariance in spectral complexity-based generalization boundsK Pitas, A Loukas, M Davies, P VandergheynstarXiv preprint arXiv:1905.09677 2019
- Revisiting hard thresholding for DNN pruningK Pitas, M Davies, P VandergheynstarXiv preprint arXiv:1905.08793 2019