N, Siddharth

16 publications

ICML 2025 Banyan: Improved Representation Learning with Explicit Structure Mattia Opper, Siddharth N

NeurIPSW 2024 Are LLMs Good Pragmatic Speakers? Mingyue Jian, Siddharth N

ICML 2024 Autoencoding Conditional Neural Processes for Representation Learning Victor Prokhorov, Ivan Titov, Siddharth N

ICML 2024 Bayesian Program Learning by Decompiling Amortized Knowledge Alessandro B. Palmarini, Christopher G. Lucas, Siddharth N

ICML 2024 Learning High-Frequency Functions Made Easy with Sinusoidal Positional Encoding Chuanhao Sun, Zhihang Yuan, Kai Xu, Luo Mai, Siddharth N, Shuo Chen, Mahesh K. Marina

NeurIPSW 2023 FoVAE: Reconstructive Foveation as a Self-Supervised Variational Inference Task for Visual Representation Learning Ivan Vegner, Siddharth N, Leonidas A. A. Doumas

NeurIPS 2022 Drawing Out of Distribution with Neuro-Symbolic Generative Models Yichao Liang, Josh Tenenbaum, Tuan Anh Le, Siddharth N

ICLR 2022 Gradient Matching for Domain Generalization Yuge Shi, Jeffrey Seely, Philip Torr, Siddharth N, Awni Hannun, Nicolas Usunier, Gabriel Synnaeve

ICLR 2022 Hybrid Memoised Wake-Sleep: Approximate Inference at the Discrete-Continuous Interface Tuan Anh Le, Katherine M. Collins, Luke Hewitt, Kevin Ellis, Siddharth N, Samuel Gershman, Joshua B. Tenenbaum

ICLR 2022 Learning Multimodal VAEs Through Mutual Supervision Tom Joy, Yuge Shi, Philip Torr, Tom Rainforth, Sebastian M Schmon, Siddharth N

ICLR 2022 On Incorporating Inductive Biases into VAEs Ning Miao, Emile Mathieu, Siddharth N, Yee Whye Teh, Tom Rainforth

ICLR 2021 Capturing Label Characteristics in VAEs Tom Joy, Sebastian Schmon, Philip Torr, Siddharth N, Tom Rainforth

ICLR 2021 Relating by Contrasting: A Data-Efficient Framework for Multimodal Generative Models Yuge Shi, Brooks Paige, Philip Torr, Siddharth N

NeurIPS 2019 Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Models Yuge Shi, Siddharth N, Brooks Paige, Philip Torr

NeurIPS 2018 Faithful Inversion of Generative Models for Effective Amortized Inference Stefan Webb, Adam Golinski, Rob Zinkov, Siddharth N, Tom Rainforth, Yee Whye Teh, Frank Wood

NeurIPS 2017 Learning Disentangled Representations with Semi-Supervised Deep Generative Models Siddharth N, Brooks Paige, Jan-Willem van de Meent, Alban Desmaison, Noah Goodman, Pushmeet Kohli, Frank Wood, Philip Torr