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About us Practical matters How to find us dr. G.M. (Gido) van de Ven

dr. G.M. (Gido) van de Ven

Assistant Professor
Research interests Publications Sustainable Development Goals

Research interests

An important goal of my research is to understand the computational principles of continual learning, a crucial skill for both artificial and biological learning agents. I do this through a combination of conceptual analysis, computational modelling, deep neural network implementations and collaborations with experimental labs. Another research direction I am interested in is using insights and intuitions from neuroscience to make the behavior of deep neural networks more human-like.

Publications

Aligning generalization between humans and machines

Ilievski, F., Hammer, B., van Harmelen, F., Paassen, B., Saralajew, S., Schmid, U., Biehl, M., Bolognesi, M., Dong, X. L., Gashteovski, K., Hitzler, P., Marra, G., Minervini, P., Mundt, M., Ngomo, A.-C. N., Oltramari, A., Pasi, G., Saribatur, Z. G., Serafini, L. & Shawe-Taylor, J., Shwartz, V., Skitalinskaya, G., Stachl, C., van de Ven, G. M. & Villmann, T., 15-Sept-2025, In: Nature Machine Intelligence. 7, p. 1378–1389 12 p.

Research output: Contribution to journal › Article › Academic › peer-review

Continual learning and catastrophic forgetting

van de Ven, G. M., Soures, N. & Kudithipudi, D., 2025, Learning and Memory: A Comprehensive Reference. Wixted, J. (ed.). Third ed. Academic Press, p. V1:153-V1:168

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic

Continual learning in the presence of repetition

Hemati, H., Pellegrini, L., Duan, X., Zhao, Z., Xia, F., Masana, M., Tscheschner, B., Veas, E., Zheng, Y., Zhao, S., Li, S. Y., Huang, S. J., Lomonaco, V. & van de Ven, G. M., Mar-2025, In: Neural Networks. 183, 14 p., 106920.

Research output: Contribution to journal › Article › Academic › peer-review

Learning continually with representational drift

van der Veldt, S., van de Ven, G. M., Moorman, S. & Etter, G., 26-Dec-2025, (Submitted) arXiv, 14 p.

Research output: Working paper › Preprint › Academic

Simple Lifelong Learning Machines

Vogelstein, J. T., Dey, J., Helm, H. S., LeVine, W., Mehta, R. D., Tomita, T. M., Xu, H., Geisa, A., Wang, Q., van de Ven, G. M., Gao, C., Yang, W., Tower, B., Larson, J., White, C. M. & Priebe, C. E., Nov-2025, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 47, 11, p. 10033-10046 14 p.

Research output: Contribution to journal › Article › Academic › peer-review

Aligning Generalisation Between Humans and Machines

Ilievski, F., Hammer, B., van Harmelen, F., Paassen, B., Saralajew, S., Schmid, U., Biehl, M., Bolognesi, M., Dong, X. L., Gashteovski, K., Hitzler, P., Marra, G., Minervini, P., Mundt, M., Ngomo, A.-C. N., Oltramari, A., Pasi, G., Saribatur, Z. G., Serafini, L. & Shawe-Taylor, J., Shwartz, V., Skitalinskaya, G., Stachl, C., van de Ven, G. M. & Villmann, T., 23-Nov-2024, (Submitted) arXiv, 35 p.

Research output: Working paper › Preprint › Academic

Continual Learning: Applications and the Road Forward

Verwimp, E., Aljundi, R., Ben-David, S., Bethge, M., Cossu, A., Gepperth, A., Hayes, T. L., Hüllermeier, E., Kanan, C., Kudithipudi, D., Lampert, C. H., Mundt, M., Pascanu, R., Popescu, A., Tolias, A. S., van de Weijer, J., Liu, B., Lomonaco, V., Tuytelaars, T. & van de Ven, G. M., 28-Mar-2024, (Submitted) arXiv, 21 p.

Research output: Working paper › Preprint › Academic

Continual Learning: Applications and the Road Forward

Verwimp, E., Aljundi, R., Ben-David, S., Bethge, M., Cossu, A., Gepperth, A., Hayes, T. L., Hüllermeier, E., Kanan, C., Kudithipudi, D., Lampert, C. H., Mundt, M., Pascanu, R., Popescu, A., Tolias, A. S., van de Weijer, J., Liu, B., Lomonaco, V., Tuytelaars, T. & van de Ven, G. M., 2024, In: Transactions on Machine Learning Research. 2024, 21 p.

Research output: Contribution to journal › Article › Academic › peer-review

Continual Learning of Diffusion Models with Generative Distillation

Masip, S., Rodríguez, P., Tuytelaars, T. & van de Ven, G. M., 2024, Proceedings of The 3rd Conference on Lifelong Learning Agents. Proceedings of Machine Learning Research, Vol. 274. p. 431-456 26 p.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Continual Learning of Diffusion Models with Generative Distillation

Masip, S., Rodríguez, P., Tuytelaars, T. & van de Ven, G. M., 20-May-2024, (Submitted) arXiv, p. 431-456, 26 p.

Research output: Working paper › Preprint › Academic

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Sustainable Development Goals

More information about the Sustainable Development Goals.

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