Papers at NeurIPS Workshops

Our newest research will feature at three NeurIPS Workshops:

  • So Takao, Sean Nassimiha, Peter Dudfield, Jack Kelly, Marc P. Deisenroth (2022). Short-term Prediction and Filtering of Solar Power Using State-Space Gaussian Processes. NeurIPS Workshop on Tackling Climate Change with Machine Learning.
  • Yicheng Luo, Zhengyao Jiang, Samuel Cohen, Edward Grefenstette, Marc P. Deisenroth (2022). Optimal Transport for Offline Imitation Learning. NeurIPS Workshop on Offline Reinforcement Learning.
  • Jake Cunningham, So Takao, Mark van der Wilk, Marc P. Deisenroth (2022). Actually Sparse Variational Gaussian Processes. NeurIPS Workshop on Gaussian Processes, Spatio-temporal Modeling, and Decision-making Systems.
Marc Deisenroth
Marc Deisenroth
DeepMind Chair of Machine Learning and Artificial Intelligence