Ilan Naiman
8 papers · 2023–2026 · 6 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (21) 🏆 Grand Slam 👑 Triple Crown
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Research topics
Deep Learning
(8)
Machine Learning
(7)
Learning Types · Machine Learning
(4)
Models
(4)
Learning Types · Deep Learning
(3)
Computer Vision
(2)
Architectures
(2)
Core Methods
(2)
Optimization & Theory · Machine Learning
(2)
Processing
(2)
Artificial Intelligence
(1)
Analysis
(1)
Core AI
(1)
Optimization & Theory · Deep Learning
(1)
Techniques
(1)
Keywords
self-supervised learning
(2)
sequential disentanglement
(2)
generative model
(2)
variational inference
(1)
video understanding
(1)
neural network analysis
(1)
eigenvalue decomposition
(1)
time series
(1)
latent factor
(1)
variational framework
(1)
semantic information
(1)
latent space
(1)
diffusion model
(1)
disentangled representation
(1)
variational autoencoder
(1)
time series generation
(1)
vision-language model
(1)
latent dynamics
(1)
sentiment analysis
(1)
contrastive learning
(1)
Papers
Scene-VLM: Multimodal Video Scene Segmentation via Vision-Language Models
CVPR 2026
LV-MAE: Learning Long Video Representations through Masked-Embedding Autoencoders
ICCV 2025
Generative Modeling of Regular and Irregular Time Series Data via Koopman VAEs
ICLR 2024
Sequential Disentanglement by Extracting Static Information From A Single Sequence Element
ICML 2024
Utilizing Image Transforms and Diffusion Models for Generative Modeling of Short and Long Time Series
NeurIPS 2024
An Operator Theoretic Approach for Analyzing Sequence Neural Networks
AAAI 2023
Multifactor Sequential Disentanglement via Structured Koopman Autoencoders
ICLR 2023
Sample and Predict Your Latent: Modality-free Sequential Disentanglement via Contrastive Estimation
ICML 2023