Siddharth, N

8 publications

ICML 2022 Adversarial Masking for Self-Supervised Learning Yuge Shi, N Siddharth, Philip Torr, Adam R Kosiorek

UAI 2020 Multitask Soft Option Learning Maximilian Igl, Andrew Gambardella, Jinke He, Nantas Nardelli, N Siddharth, Wendelin Boehmer, Shimon Whiteson

WACV 2019 A Conditional Deep Generative Model of People in Natural Images Rodrigo Andrade de Bem, Arnab Ghosh, Adnane Boukhayma, Thalaiyasingam Ajanthan, N. Siddharth, Philip H. S. Torr

ICML 2019 Disentangling Disentanglement in Variational Autoencoders Emile Mathieu, Tom Rainforth, N Siddharth, Yee Whye Teh

UAI 2019 Revisiting Reweighted Wake-Sleep for Models with Stochastic Control Flow Tuan Anh Le, Adam R. Kosiorek, N. Siddharth, Yee Whye Teh, Frank Wood

AISTATS 2019 Structured Disentangled Representations Babak Esmaeili, Hao Wu, Sarthak Jain, Alican Bozkurt, N Siddharth, Brooks Paige, Dana H. Brooks, Jennifer Dy, Jan-Willem Meent

ECCVW 2018 A Semi-Supervised Deep Generative Model for Human Body Analysis Rodrigo Andrade de Bem, Arnab Ghosh, Thalaiyasingam Ajanthan, Ondrej Miksik, N. Siddharth, Philip H. S. Torr

JAIR 2015 A Compositional Framework for Grounding Language Inference, Generation, and Acquisition in Video Haonan Yu, N. Siddharth, Andrei Barbu, Jeffrey Mark Siskind