SML@NeurIPS 2021

Conference Papers

• Michael J. Hutchinson, Alexander Terenin, Viacheslav Borovitskiy, So Takao, Yee Whye Teh, Marc P. Deisenroth (2021). Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Independent Projected Kernels. Advances in Neural Information Processing Systems (NeurIPS).

• Maria Tsimpoukelli, Jacob L. Menick, Serkan Cabi, Ali Eslami, Oriol Vinyals, Felix Hill (2021). Multimodal Few-Shot Learning with Frozen Language Models. Advances in Neural Information Processing Systems (NeurIPS).

Workshop Papers

• Cohen S., Amos, B., Deisenroth, M., Henaff, M, Vinitsky, E., Yarats, D. (2021). Imitation Learning from Pixel Observations for Continuous Control. Deep RL Workshop at NeurIPS 2021.
• Fickinger, A., Cohen S., Russel, S., Amos, B. (2021). Cross-Domain Imitation Learning via Optimal Transport. Deep RL Workshop at NeurIPS 2021.
• Cohen S., Terenin, A., Pitcan, Y., Amos, B., Deisenroth, M. P. Kumar, S. (2021). Sliced Multi-marginal Optimal Transport. Optimal Transport in ML Workshop at NeurIPS 2021.
• Sebag, I., Cohen, S., Deisenroth, M. P. (2021). On Combining Expert Demonstrations in Imitation Learning via OT. Optimal Transport in Machine Learning Workshop at NeurIPS 2021.