N. Siddharth - RankMe

50 papers A* 10A 4Journal 35Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Banyan: Improved Representation Learning with Explicit Structure. ICML Mattia Opper, N. Siddharth
2025	J	`jnl`	On Designing Diffusion Autoencoders for Efficient Generation and Representation Learning. CoRR Magdalena Proszewska, Nikolay Malkin, N. Siddharth
2024	A*	`conf`	Autoencoding Conditional Neural Processes for Representation Learning. ICML Victor Prokhorov, Ivan Titov, N. Siddharth
2024	J	`jnl`	Banyan: Improved Representation Learning with Explicit Structure. CoRR Mattia Opper, N. Siddharth
2024	A*	`conf`	Bayesian Program Learning by Decompiling Amortized Knowledge. ICML Alessandro B. Palmarini, Christopher G. Lucas, N. Siddharth
2024	A*	`conf`	Learning High-Frequency Functions Made Easy with Sinusoidal Positional Encoding. ICML Chuanhao Sun, Zhihang Yuan, Kai Xu, Luo Mai, N. Siddharth, Shuo Chen, Mahesh K. Marina
2024	J	`jnl`	Learning High-Frequency Functions Made Easy with Sinusoidal Positional Encoding. CoRR Chuanhao Sun, Zhihang Yuan, Kai Xu, Luo Mai, N. Siddharth, Shuo Chen, Mahesh K. Marina
2024	J	`jnl`	Multi-Label Classification for Implicit Discourse Relation Recognition. CoRR Wanqiu Long, N. Siddharth, Bonnie Webber
2024	J	`jnl`	Self-StrAE at SemEval-2024 Task 1: Making Self-Structuring AutoEncoders Learn More With Less. CoRR Mattia Opper, N. Siddharth
2023	J	`jnl`	Autoencoding Conditional Neural Processes for Representation Learning. CoRR Victor Prokhorov, Ivan Titov, N. Siddharth
2023	J	`jnl`	DreamDecompiler: Improved Bayesian Program Learning by Decompiling Amortised Knowledge. CoRR Alessandro B. Palmarini, Christopher G. Lucas, N. Siddharth
2023	J	`jnl`	On the effect of curriculum learning with developmental data for grammar acquisition. CoRR Mattia Opper, J. Morrison, N. Siddharth
2023	J	`jnl`	StrAE: Autoencoding for Pre-Trained Embeddings using Explicit Structure. CoRR Mattia Opper, Victor Prokhorov, N. Siddharth
2022	A*	`conf`	Adversarial Masking for Self-Supervised Learning. ICML Yuge Shi, N. Siddharth, Philip H. S. Torr, Adam R. Kosiorek
2022	J	`jnl`	Adversarial Masking for Self-Supervised Learning. CoRR Yuge Shi, N. Siddharth, Philip H. S. Torr, Adam R. Kosiorek
2022	A*	`conf`	Drawing out of Distribution with Neuro-Symbolic Generative Models. NeurIPS Yichao Liang, Josh Tenenbaum, Tuan Anh Le, N. Siddharth
2022	J	`jnl`	Drawing out of Distribution with Neuro-Symbolic Generative Models. CoRR Yichao Liang, Joshua B. Tenenbaum, Tuan Anh Le, N. Siddharth
2021	J	`jnl`	Gradient Matching for Domain Generalization. CoRR Yuge Shi, Jeffrey Seely, Philip H. S. Torr, N. Siddharth, Awni Y. Hannun, Nicolas Usunier, Gabriel Synnaeve
2021	J	`jnl`	Hybrid Memoised Wake-Sleep: Approximate Inference at the Discrete-Continuous Interface. CoRR Tuan Anh Le, Katherine M. Collins, Luke Hewitt, Kevin Ellis, N. Siddharth, Samuel J. Gershman, Joshua B. Tenenbaum
2021	J	`jnl`	InteL-VAEs: Adding Inductive Biases to Variational Auto-Encoders via Intermediary Latents. CoRR Ning Miao, Emile Mathieu, N. Siddharth, Yee Whye Teh, Tom Rainforth
2021	J	`jnl`	Learning Multimodal VAEs through Mutual Supervision. CoRR Tom Joy, Yuge Shi, Philip H. S. Torr, Tom Rainforth, Sebastian M. Schmon, N. Siddharth
2021	A*	`conf`	Relating by Contrasting: A Data-efficient Framework for Multimodal Generative Models. ICLR Yuge Shi, Brooks Paige, Philip H. S. Torr, N. Siddharth
2020	J	`jnl`	A Revised Generative Evaluation of Visual Dialogue. CoRR Daniela Massiceti, Viveka Kulharia, Puneet K. Dokania, N. Siddharth, Philip H. S. Torr
2020	J	`jnl`	DGPose: Deep Generative Models for Human Body Analysis. Int. J. Comput. Vis. Rodrigo Andrade de Bem, Arnab Ghosh, Thalaiyasingam Ajanthan, Ondrej Miksik, Adnane Boukhayma, N. Siddharth, Philip H. S. Torr
2020	A	`conf`	Multitask Soft Option Learning. UAI Maximilian Igl, Andrew Gambardella, Jinke He, Nantas Nardelli, N. Siddharth, Wendelin Boehmer, Shimon Whiteson
2020	J	`jnl`	Relating by Contrasting: A Data-efficient Framework for Multimodal Generative Models. CoRR Yuge Shi, Brooks Paige, Philip H. S. Torr, N. Siddharth
2020	J	`jnl`	Rethinking Semi-Supervised Learning in VAEs. CoRR Tom Joy, Sebastian M. Schmon, Philip H. S. Torr, N. Siddharth, Tom Rainforth
2020	J	`jnl`	Simulation-Based Inference for Global Health Decisions. CoRR Christian Schröder de Witt, Bradley Gram-Hansen, Nantas Nardelli, Andrew Gambardella, Robert Zinkov, Puneet K. Dokania, N. Siddharth, Ana Belen Espinosa-Gonzalez, Ara Darzi, Philip H. S. Torr, Atilim Günes Baydin
2019	A	`conf`	A Conditional Deep Generative Model of People in Natural Images. WACV Rodrigo Andrade de Bem, Arnab Ghosh, Adnane Boukhayma, Thalaiyasingam Ajanthan, N. Siddharth, Philip H. S. Torr
2019	A*	`conf`	Disentangling Disentanglement in Variational Autoencoders. ICML Emile Mathieu, Tom Rainforth, N. Siddharth, Yee Whye Teh
2019	J	`jnl`	Lessons from reinforcement learning for biological representations of space. CoRR Alexander Muryy, N. Siddharth, Nantas Nardelli, Andrew Glennerster, Philip H. S. Torr
2019	J	`jnl`	Multitask Soft Option Learning. CoRR Maximilian Igl, Andrew Gambardella, Nantas Nardelli, N. Siddharth, Wendelin Böhmer, Shimon Whiteson
2019	A	`conf`	Revisiting Reweighted Wake-Sleep for Models with Stochastic Control Flow. UAI Tuan Anh Le, Adam R. Kosiorek, N. Siddharth, Yee Whye Teh, Frank Wood
2019	A	`conf`	Structured Disentangled Representations. AISTATS Babak Esmaeili, Hao Wu, Sarthak Jain, Alican Bozkurt, N. Siddharth, Brooks Paige, Dana H. Brooks, Jennifer G. Dy, Jan-Willem van de Meent
2019	J	`jnl`	Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Models. CoRR Yuge Shi, N. Siddharth, Brooks Paige, Philip H. S. Torr
2018	—	`conf`	A Semi-supervised Deep Generative Model for Human Body Analysis. ECCV Workshops (2) Rodrigo Andrade de Bem, Arnab Ghosh, Thalaiyasingam Ajanthan, Ondrej Miksik, N. Siddharth, Philip H. S. Torr
2018	J	`jnl`	DGPose: Disentangled Semi-supervised Deep Generative Models for Human Body Analysis. CoRR Rodrigo Andrade de Bem, Arnab Ghosh, Thalaiyasingam Ajanthan, Ondrej Miksik, N. Siddharth, Philip H. S. Torr
2018	A*	`conf`	FlipDial: A Generative Model for Two-Way Visual Dialogue. CVPR Daniela Massiceti, N. Siddharth, Puneet Kumar Dokania, Philip H. S. Torr
2018	J	`jnl`	FlipDial: A Generative Model for Two-Way Visual Dialogue. CoRR Daniela Massiceti, N. Siddharth, Puneet Kumar Dokania, Philip H. S. Torr
2018	J	`jnl`	Hierarchical Disentangled Representations. CoRR Babak Esmaeili, Hao Wu, Sarthak Jain, N. Siddharth, Brooks Paige, Jan-Willem van de Meent
2018	J	`jnl`	Revisiting Reweighted Wake-Sleep. CoRR Tuan Anh Le, Adam R. Kosiorek, N. Siddharth, Yee Whye Teh, Frank Wood
2018	J	`jnl`	Visual Dialogue without Vision or Dialogue. CoRR Daniela Massiceti, Puneet K. Dokania, N. Siddharth, Philip H. S. Torr
2017	J	`jnl`	Faithful Model Inversion Substantially Improves Auto-encoding Variational Inference. CoRR Stefan Webb, Adam Golinski, Robert Zinkov, N. Siddharth, Yee Whye Teh, Frank D. Wood
2017	J	`jnl`	Learning Disentangled Representations with Semi-Supervised Deep Generative Models. CoRR N. Siddharth, Brooks Paige, Jan-Willem van de Meent, Alban Desmaison, Frank D. Wood, Noah D. Goodman, Pushmeet Kohli, Philip H. S. Torr
2016	J	`jnl`	Inducing Interpretable Representations with Variational Autoencoders. CoRR N. Siddharth, Brooks Paige, Alban Desmaison, Jan-Willem van de Meent, Frank D. Wood, Noah D. Goodman, Pushmeet Kohli, Philip H. S. Torr
2016	J	`jnl`	Playing Doom with SLAM-Augmented Deep Reinforcement Learning. CoRR Shehroze Bhatti, Alban Desmaison, Ondrej Miksik, Nantas Nardelli, N. Siddharth, Philip H. S. Torr
2016	J	`jnl`	Saying What You're Looking For: Linguistics Meets Video Search. IEEE Trans. Pattern Anal. Mach. Intell. Daniel Paul Barrett, Andrei Barbu, N. Siddharth, Jeffrey Mark Siskind
2015	J	`jnl`	A Compositional Framework for Grounding Language Inference, Generation, and Acquisition in Video. J. Artif. Intell. Res. Haonan Yu, N. Siddharth, Andrei Barbu, Jeffrey Mark Siskind
2015	J	`jnl`	Coarse-to-Fine Sequential Monte Carlo for Probabilistic Programs. CoRR Andreas Stuhlmüller, Robert X. D. Hawkins, N. Siddharth, Noah D. Goodman
2014	A*	`conf`	Seeing What You're Told: Sentence-Guided Activity Recognition in Video. CVPR N. Siddharth, Andrei Barbu, Jeffrey Mark Siskind