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N. Siddharth

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Relating by Contrasting: A Data-efficient Framework for Multimodal Generative Models

Jul 02, 2020
Yuge Shi, Brooks Paige, Philip H. S. Torr, N. Siddharth

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Rethinking Semi-Supervised Learning in VAEs

Jun 17, 2020
Tom Joy, Sebastian M. Schmon, Philip H. S. Torr, N. Siddharth, Tom Rainforth

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Simulation-Based Inference for Global Health Decisions

May 14, 2020
Christian Schroeder de Witt, Bradley Gram-Hansen, Nantas Nardelli, Andrew Gambardella, Rob Zinkov, Puneet Dokania, N. Siddharth, Ana Belen Espinosa-Gonzalez, Ara Darzi, Philip Torr, Atılım Güneş Baydin

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A Revised Generative Evaluation of Visual Dialogue

Apr 24, 2020
Daniela Massiceti, Viveka Kulharia, Puneet K. Dokania, N. Siddharth, Philip H. S. Torr

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Lessons from reinforcement learning for biological representations of space

Dec 13, 2019
Alex Muryy, N. Siddharth, Nantas Nardelli, Andrew Glennerster, Philip H. S. Torr

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Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Models

Nov 08, 2019
Yuge Shi, N. Siddharth, Brooks Paige, Philip H. S. Torr

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Multitask Soft Option Learning

Apr 01, 2019
Maximilian Igl, Andrew Gambardella, Nantas Nardelli, N. Siddharth, Wendelin Böhmer, Shimon Whiteson

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Visual Dialogue without Vision or Dialogue

Dec 16, 2018
Daniela Massiceti, Puneet K. Dokania, N. Siddharth, Philip H. S. Torr

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Faithful Inversion of Generative Models for Effective Amortized Inference

Oct 24, 2018
Stefan Webb, Adam Golinski, Robert Zinkov, N. Siddharth, Tom Rainforth, Yee Whye Teh, Frank Wood

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