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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

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 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. (Transactions on Machine Learning Research).

Research output: Working paper › Preprint › Academic

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. (Proceedings of Machine Learning Research).

Research output: Working paper › Preprint › Academic

Infinite dSprites for Disentangled Continual Learning: Separating Memory Edits from Generalization

Dziadzio, S., Yıldız, Ç., van de Ven, G. M., Trzciński, T., Tuytelaars, T. & Bethge, M., 29-Jul-2024, (Submitted) p. 498-513, 16 p. (Proceedings of Machine Learning Research).

Research output: Working paper › Preprint › Academic

Knowledge Accumulation in Continually Learned Representations and the Issue of Feature Forgetting

Hess, T., Verwimp, E., van de Ven, G. M. & Tuytelaars, T., 24-Jun-2024, (Submitted) arXiv, 25 p. (Transactions on Machine Learning Research).

Research output: Working paper › Preprint › Academic

Prediction Error-based Classification for Class-Incremental Learning

Zając, M., Tuytelaars, T. & van de Ven, G. M., 2024. 29 p.

Research output: Contribution to conference › Paper › Academic

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