Siddharth N
14 papers · 2017–2025 · 3 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (3) π Academic Marathon (8)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(13)
π
Century Club
(14)
β‘
Prolific Year
(5)
Conferences
ICLR (6)
ICML (4)
NIPS (4)
Top co-authors
Keywords
generative model
(4)
amortized inference
(2)
variational autoencoder
(2)
graphical model
(2)
representation learning
(2)
posterior approximation
(1)
disentangled representation
(1)
latent space
(1)
mixture of expert
(1)
symbolic representation
(1)
probabilistic encoder
(1)
neuro-symbolic model
(1)
one-shot classification
(1)
stroke-based drawing
(1)
zero-shot learning
(1)
semi-supervised learning
(1)
variational inference
(1)
multi-modal learning
(1)
Papers
Banyan: Improved Representation Learning with Explicit Structure
ICML 2025
Autoencoding Conditional Neural Processes for Representation Learning
ICML 2024
Bayesian Program Learning by Decompiling Amortized Knowledge
ICML 2024
Learning High-Frequency Functions Made Easy with Sinusoidal Positional Encoding
ICML 2024
Gradient Matching for Domain Generalization
ICLR 2022
Drawing out of Distribution with Neuro-Symbolic Generative Models
NIPS 2022
Hybrid Memoised Wake-Sleep: Approximate Inference at the Discrete-Continuous Interface
ICLR 2022
On Incorporating Inductive Biases into VAEs
ICLR 2022
Learning Multimodal VAEs through Mutual Supervision
ICLR 2022
Relating by Contrasting: A Data-efficient Framework for Multimodal Generative Models
ICLR 2021
Capturing Label Characteristics in VAEs
ICLR 2021
Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Models
NIPS 2019
Faithful Inversion of Generative Models for Effective Amortized Inference
NIPS 2018
Learning Disentangled Representations with Semi-Supervised Deep Generative Models
NIPS 2017