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Drawing out of Distribution with Neuro-Symbolic Generative Models


Jun 03, 2022
Yichao Liang, Joshua B. Tenenbaum, Tuan Anh Le, N. Siddharth

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* Submitted to NeurIPS 2022 

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Adversarial Masking for Self-Supervised Learning


Jan 31, 2022
Yuge Shi, N. Siddharth, Philip H. S. Torr, Adam R. Kosiorek

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Learning Multimodal VAEs through Mutual Supervision


Jul 01, 2021
Tom Joy, Yuge Shi, Philip H. S. Torr, Tom Rainforth, Sebastian M. Schmon, N. Siddharth

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InteL-VAEs: Adding Inductive Biases to Variational Auto-Encoders via Intermediary Latents


Jun 25, 2021
Ning Miao, Emile Mathieu, N. Siddharth, Yee Whye Teh, Tom Rainforth

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Gradient Matching for Domain Generalization


Apr 20, 2021
Yuge Shi, Jeffrey Seely, Philip H. S. Torr, N. Siddharth, Awni Hannun, Nicolas Usunier, Gabriel Synnaeve

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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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* 16 pages, 5 figures 

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