Siddharth N
14 papers · 2017–2025 · 3 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (22)
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Topic Evolution
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Century Club · Bronze
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Prolific Year · Productive
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Keyword Collector
(61)
Venues
Top co-authors
Research topics
Deep Learning
(11)
Machine Learning
(10)
Artificial Intelligence
(9)
Models
(9)
Core AI
(6)
Architectures
(5)
Core Methods
(5)
Learning Types · Machine Learning
(3)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Learning Paradigms
(2)
Learning Types · Deep Learning
(2)
Computer Science
(1)
Application Areas
(1)
Applications
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Keywords
variational autoencoder
(7)
generative model
(6)
representation learning
(3)
multimodal learning
(3)
amortized inference
(2)
latent space
(2)
graphical model
(2)
domain generalization
(1)
approximate inference
(1)
contrastive learning
(1)
semantic representation
(1)
efficient computing
(1)
gaussian process
(1)
importance sampling
(1)
conditional generation
(1)
generalization
(1)
semi-supervised learning
(1)
posterior approximation
(1)
scene understanding
(1)
inner product
(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
Drawing out of Distribution with Neuro-Symbolic Generative Models
NeurIPS 2022
Gradient Matching for Domain Generalization
ICLR 2022
Hybrid Memoised Wake-Sleep: Approximate Inference at the Discrete-Continuous Interface
ICLR 2022
Learning Multimodal VAEs through Mutual Supervision
ICLR 2022
On Incorporating Inductive Biases into VAEs
ICLR 2022
Capturing Label Characteristics in VAEs
ICLR 2021
Relating by Contrasting: A Data-efficient Framework for Multimodal Generative Models
ICLR 2021
Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Models
NeurIPS 2019
Faithful Inversion of Generative Models for Effective Amortized Inference
NeurIPS 2018
Learning Disentangled Representations with Semi-Supervised Deep Generative Models
NeurIPS 2017