Gido M. van de Ven

Cited by

	All	Since 2019
Citations	2834	2679
h-index	16	16
i10-index	16	16

1000

500

250

750

20152016201720182019202020212022202320248 13 50 70 110 202 425 616 981 340

Public access

View all

12 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Andreas ToliasDepartment of Neuroscience, Baylor College of MedicineVerified email at cns.bcm.edu
Tinne TuytelaarsKU Leuven - PSI, BelgiumVerified email at esat.kuleuven.be
David DupretMRC Brain Network Dynamics Unit at the University of OxfordVerified email at bndu.ox.ac.uk
Stephanie TrouchePrincipal Investigator, University of MontpellierVerified email at igf.cnrs.fr
Colin McNamaraUniversity College CorkVerified email at ucc.ie
Hava SiegelmannProfessor of Computer Science, and Brain Sciences, UMass AmherstVerified email at cs.umass.edu
Kate WatkinsUniversity of OxfordVerified email at psy.ox.ac.uk
Vítor Lopes dos SantosMRC Brain Network Dynamics Unit at the University of OxfordVerified email at pharm.ox.ac.uk
Joshua T. VogelsteinDept of Biomedical Engineering, Johns Hopkins UniversityVerified email at jhu.edu
Zhe LiBaylor College of MedicineVerified email at bcm.edu
Riikka MöttönenUniversity of NottinghamVerified email at nottingham.ac.uk
Ta-Chu KaoMeta Reality LabsVerified email at meta.com
Kristopher T. JensenUniversity College LondonVerified email at ucl.ac.uk
Matthias De LangeMLE @ Radix | PhDVerified email at radix.ai
Shuang LiMITVerified email at mit.edu
Eli VerwimpKU LeuvenVerified email at kuleuven.be
Vincenzo LomonacoAssistant Professor @ Unipi, President @ ContinualAI.org, Co-Founder @ ContinualIST.orgVerified email at unipi.it
Dhireesha KudithipudiFounding Director of MATRIX AI Consortium, Robert F McDermott Endowed Chair, UTSAVerified email at utsa.edu
Matthias BethgeTübingen University & Maddox Co-FounderVerified email at bethgelab.org
Michał ZającFAR AI, Jagiellonian UniversityVerified email at far.ai

Gido M. van de Ven

Postdoctoral Associate, KU Leuven

Verified email at kuleuven.be - Homepage

continual learning replay deep learning neuroscience generative models


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Three scenarios for continual learning GM van de Ven, AS Tolias arXiv preprint arXiv:1904.07734, 2019	838	2019
Brain-inspired replay for continual learning with artificial neural networks GM van de Ven, HT Siegelmann, AS Tolias Nature Communications 11, 4069, 2020	402	2020
Hippocampal offline reactivation consolidates recently formed cell assembly patterns during sharp wave-ripples GM van de Ven, S Trouche, CG McNamara, K Allen, D Dupret Neuron 92 (5), 968-974, 2016	278	2016
Generative replay with feedback connections as a general strategy for continual learning GM van de Ven, AS Tolias arXiv preprint arXiv:1809.10635, 2018	227	2018
Three types of incremental learning GM van de Ven, T Tuytelaars, AS Tolias Nature Machine Intelligence 4 (12), 1185-1197, 2022	184	2022
Avalanche: an end-to-end library for continual learning V Lomonaco, L Pellegrini, A Cossu, A Carta, G Graffieti, TL Hayes, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021	177	2021
Parsing hippocampal theta oscillations by nested spectral components during spatial exploration and memory-guided behavior V Lopes-dos-Santos, GM van de Ven, A Morley, S Trouche, ... Neuron 100 (4), 940-952, 2018	155	2018
Biological underpinnings for lifelong learning machines D Kudithipudi, M Aguilar-Simon, J Babb, M Bazhenov, D Blackiston, ... Nature Machine Intelligence 4 (3), 196-210, 2022	144	2022
Recoding a cocaine-place memory engram to a neutral engram in the hippocampus S Trouche, PV Perestenko, GM van de Ven, CT Bratley, CG McNamara, ... Nature Neuroscience 19 (4), 564-567, 2016	134	2016
Attention fine-tunes auditory–motor processing of speech sounds R Möttönen, GM van de Ven, KE Watkins Journal of Neuroscience 34 (11), 4064-4069, 2014	75	2014
Class-incremental learning with generative classifiers GM van de Ven, Z Li, AS Tolias Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021	45	2021
Natural continual learning: success is a journey, not (just) a destination TC Kao, KT Jensen, GM van de Ven, A Bernacchia, G Hennequin Advances in Neural Information Processing Systems (NeurIPS) 34, 2021	42	2021
Energy-based models for continual learning S Li, Y Du, GM van de Ven, I Mordatch Conference on Lifelong Learning Agents (CoLLAs) – oral, 2022	41*	2022
Three continual learning scenarios GM van de Ven, AS Tolias NeurIPS, Continual Learning Workshop, 2018	26	2018
Continual evaluation for lifelong learning: identifying the stability gap M De Lange, GM van de Ven, T Tuytelaars International Conference on Learning Representations (ICLR) – spotlight, 2023	25	2023
Representation ensembling for synergistic lifelong learning with quasilinear complexity JT Vogelstein, J Dey, HS Helm, W LeVine, RD Mehta, TM Tomita, H Xu, ... arXiv preprint arXiv:2004.12908, 2020	17*	2020
Three continual learning scenarios and a case for generative replay GM van de Ven, AS Tolias Submission to ICLR, 2018	9	2018
Prediction error-based classification for class-incremental learning M Zając, T Tuytelaars, GM van de Ven International Conference on Learning Representations (ICLR), 2024	4	2024
Continual learning: applications and the road forward E Verwimp, R Aljundi, S Ben-David, M Bethge, A Cossu, A Gepperth, ... Transactions on Machine Learning Research (TMLR), 2024	4	2024
Two complementary perspectives to continual learning: ask not only what to optimize, but also how T Hess, T Tuytelaars, GM van de Ven arXiv preprint arXiv:2311.04898, 2023	3	2023

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors