Laurent Dinh
11 papers · 2013–2026 · 4 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (27) π Academic Marathon Β· Half π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π±
Topic Pioneer
π§
Keyword Pioneer
ποΈ
Keyword Collector
(53)
π
Trend Setter
π
Century Club Β· Bronze
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Conference Pioneer
Venues
Top co-authors
Research topics
Machine Learning
(9)
Deep Learning
(8)
Models
(7)
Core Methods
(5)
Computer Vision
(4)
Generation
(4)
Optimization & Theory Β· Machine Learning
(4)
Artificial Intelligence
(3)
Architectures
(3)
Core AI
(3)
Application Areas
(1)
Bayesian & Probabilistic
(1)
Learning Types Β· Deep Learning
(1)
Learning Types Β· Machine Learning
(1)
Optimization & Theory Β· Deep Learning
(1)
Keywords
normalizing flow
(4)
generative model
(4)
variational inference
(2)
video generation
(2)
latent variable
(2)
deep learning
(2)
autoregressive model
(2)
image generation
(2)
neural architecture
(1)
network pruning
(1)
stochastic gradient
(1)
multimodal learning
(1)
discrete distribution
(1)
linear discriminant analysis
(1)
language modeling
(1)
weight prediction
(1)
parameter prediction
(1)
self-supervised learning
(1)
likelihood estimation
(1)
stochastic process
(1)
Papers
STARFlow-V: End-to-End Video Generative Modeling with Autoregressive Normalizing Flows
CVPR 2026
Generative Modeling with Phase Stochastic Bridge
ICLR 2024
LiDAR: Sensing Linear Probing Performance in Joint Embedding SSL Architectures
ICLR 2024
GAUDI: A Neural Architect for Immersive 3D Scene Generation
NeurIPS 2022
VideoFlow: A Conditional Flow-Based Model for Stochastic Video Generation
ICLR 2020
Discrete Flows: Invertible Generative Models of Discrete Data
NeurIPS 2019
Invertible Convolutional Flow
NeurIPS 2019
Learning Awareness Models
ICLR 2018
Sharp Minima Can Generalize For Deep Nets
ICML 2017
A Recurrent Latent Variable Model for Sequential Data
NeurIPS 2015
Predicting Parameters in Deep Learning
NeurIPS 2013