N. Siddharth

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University of Oxford

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

Multimodal learning for generative models often refers to the learning o...
07/02/2020 ∙ by Yuge Shi, et al. ∙ 0 ∙ share

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Rethinking Semi-Supervised Learning in VAEs

We present an alternative approach to semi-supervision in variational au...
06/17/2020 ∙ by Tom Joy, et al. ∙ 21 ∙ share

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Simulation-Based Inference for Global Health Decisions

The COVID-19 pandemic has highlighted the importance of in-silico epidem...
05/14/2020 ∙ by Christian Schroeder de Witt, et al. ∙ 11 ∙ share

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A Revised Generative Evaluation of Visual Dialogue

Evaluating Visual Dialogue, the task of answering a sequence of question...
04/20/2020 ∙ by Daniela Massiceti, et al. ∙ 0 ∙ share

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Lessons from reinforcement learning for biological representations of space

Neuroscientists postulate 3D representations in the brain in a variety o...
12/13/2019 ∙ by Alex Muryy, et al. ∙ 0 ∙ share

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

Learning generative models that span multiple data modalities, such as v...
11/08/2019 ∙ by Yuge Shi, et al. ∙ 28 ∙ share

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Multitask Soft Option Learning

We present Multitask Soft Option Learning (MSOL), a hierarchical multita...
04/01/2019 ∙ by Maximilian Igl, et al. ∙ 98 ∙ share

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Visual Dialogue without Vision or Dialogue

We characterise some of the quirks and shortcomings in the exploration o...
12/16/2018 ∙ by Daniela Massiceti, et al. ∙ 0 ∙ share

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Revisiting Reweighted Wake-Sleep

Discrete latent-variable models, while applicable in a variety of settin...
05/26/2018 ∙ by Tuan Anh Le, et al. ∙ 0 ∙ share

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DGPose: Disentangled Semi-supervised Deep Generative Models for Human Body Analysis

Deep generative modelling for robust human body analysis is an emerging ...
04/17/2018 ∙ by Rodrigo de Bem, et al. ∙ 0 ∙ share

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FlipDial: A Generative Model for Two-Way Visual Dialogue

We present FlipDial, a generative model for visual dialogue that simulta...
02/11/2018 ∙ by Daniela Massiceti, et al. ∙ 0 ∙ share

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Faithful Model Inversion Substantially Improves Auto-encoding Variational Inference

In learning deep generative models, the encoder for variational inferenc...
12/01/2017 ∙ by Stefan Webb, et al. ∙ 0 ∙ share

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Learning Disentangled Representations with Semi-Supervised Deep Generative Models

Variational autoencoders (VAEs) learn representations of data by jointly...
06/01/2017 ∙ by N. Siddharth, et al. ∙ 0 ∙ share

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Playing Doom with SLAM-Augmented Deep Reinforcement Learning

A number of recent approaches to policy learning in 2D game domains have...
12/01/2016 ∙ by Shehroze Bhatti, et al. ∙ 0 ∙ share

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Inducing Interpretable Representations with Variational Autoencoders

We develop a framework for incorporating structured graphical models in ...
11/22/2016 ∙ by N. Siddharth, et al. ∙ 0 ∙ share

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Coarse-to-Fine Sequential Monte Carlo for Probabilistic Programs

Many practical techniques for probabilistic inference require a sequence...
09/09/2015 ∙ by Andreas Stuhlmüller, et al. ∙ 0 ∙ share

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Saying What You're Looking For: Linguistics Meets Video Search

We present an approach to searching large video corpora for video clips ...
09/20/2013 ∙ by Andrei Barbu, et al. ∙ 0 ∙ share

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Seeing What You're Told: Sentence-Guided Activity Recognition In Video

We present a system that demonstrates how the compositional structure of...
08/19/2013 ∙ by N. Siddharth, et al. ∙ 0 ∙ share

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N. Siddharth

Featured Co-authors

Philip H. S. Torr

Yee Whye Teh

Pushmeet Kohli

Shimon Whiteson

Frank Wood

Jan-Willem van de Meent

Noah D. Goodman

Tom Rainforth

Brooks Paige

Philip Torr

Jeffrey Mark Siskind

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

Rethinking Semi-Supervised Learning in VAEs

Simulation-Based Inference for Global Health Decisions

A Revised Generative Evaluation of Visual Dialogue

Lessons from reinforcement learning for biological representations of space

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

Multitask Soft Option Learning

Visual Dialogue without Vision or Dialogue

Revisiting Reweighted Wake-Sleep

DGPose: Disentangled Semi-supervised Deep Generative Models for Human Body Analysis

FlipDial: A Generative Model for Two-Way Visual Dialogue

Faithful Model Inversion Substantially Improves Auto-encoding Variational Inference

Learning Disentangled Representations with Semi-Supervised Deep Generative Models

Playing Doom with SLAM-Augmented Deep Reinforcement Learning

Inducing Interpretable Representations with Variational Autoencoders

Coarse-to-Fine Sequential Monte Carlo for Probabilistic Programs

Saying What You're Looking For: Linguistics Meets Video Search

Seeing What You're Told: Sentence-Guided Activity Recognition In Video