Dieleman, Sander

Mastering the game of Go with deep neural networks and tree search

Silver, D., Huang, A., Maddison, C. J., Guez, A., Sifre, L., van den Driessche, G., Schrittwieser, J., Antonoglou, I., Panneershelvam, V., Lanctot, M., et al. (2016) · Nature

Artificial Intelligence in GamesArtificial Intelligence Applications

Cited by 15,612

WaveNet: a generative model for raw audio

Oord, A. V. D., Dieleman, S., Zen, H., Simonyan, K., Vinyals, O., Graves, A., Kalchbrenner, N., Senior, A., & Kavukcuoglu, K. (2016) · arXiv

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 4,911

Rotation-invariant convolutional neural networks for galaxy morphology prediction

Dieleman, S., Willett, K. W., & Dambre, J. (2015) · Monthly Notices of the Royal Astronomical Society

Galaxies: Formation, Evolution, PhenomenaAdvanced Neural Network Applications

Cited by 781

Beyond Temporal Pooling: Recurrence and Temporal Convolutions for Gesture Recognition in Video

Pigou, L., van den Oord, A., Dieleman, S., Van Herreweghe, M., & Dambre, J. (2018) · International Journal of Computer Vision

Hand Gesture Recognition SystemsHuman Pose and Action Recognition

Cited by 290

Generating Images with Sparse Representations

Nash, C., Menick, J., Dieleman, S., & Battaglia, P. W. (2021) · arXiv

Generative Adversarial Networks and Image SynthesisAdvanced Neural Network Applications

Cited by 226

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Comanici, G., Bieber, E., Schaekermann, M., Pasupat, I., Sachdeva, N., Dhillon, I., Blistein, M., Ram, O., Zhang, D., Rosen, E., et al. (2025) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 69