Tian Han
21 papers · 2018–2024 · 11 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (32) π Academic Marathon Β· Sprint π Conference Polyglot Β· Gold π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π¬
Deep Specialist
(12)
π€
Dynamic Duo
(11)
π
Keyword Champion
β‘
Prolific Year Β· Productive
π₯
Unstoppable Β· Bronze
ποΈ
Keyword Collector
(83)
π
Century Club Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(18)
Deep Learning
(14)
Core Methods
(13)
Models
(12)
Optimization & Theory
(9)
Artificial Intelligence
(7)
Learning Types Β· Machine Learning
(6)
Computer Vision
(4)
Bayesian & Probabilistic Β· Artificial Intelligence
(4)
Bayesian & Probabilistic Β· Machine Learning
(4)
Core AI
(3)
Analysis
(2)
Architectures
(2)
Generation
(2)
Learning Types Β· Deep Learning
(2)
Keywords
energy-based model
(10)
generative model
(9)
markov chain monte carlo
(6)
latent space
(6)
variational inference
(4)
langevin dynamics
(3)
variational autoencoder
(3)
maximum likelihood
(3)
anomaly detection
(3)
unsupervised learning
(2)
adversarial learning
(2)
latent variable
(2)
hierarchical representation
(2)
mcmc sampling
(2)
feature disentanglement
(1)
autonomous driving
(1)
language modeling
(1)
graph representation learning
(1)
image generation
(1)
symbolic reasoning
(1)
Papers
Enforcing Sparsity on Latent Space for Robust and Explainable Representations
WACV 2024
Improving Adversarial Energy-Based Model via Diffusion Process
ICML 2024
Layerwise Change of Knowledge in Neural Networks
ICML 2024
Learning Latent Space Hierarchical EBM Diffusion Models
ICML 2024
Learning Multimodal Latent Generative Models with Energy-Based Prior
ECCV 2024
Learning Energy-based Model via Dual-MCMC Teaching
NeurIPS 2023
Learning Hierarchical Features with Joint Latent Space Energy-Based Prior
ICCV 2023
Learning Joint Latent Space EBM Prior Model for Multi-Layer Generator
CVPR 2023
Molecule Design by Latent Space Energy-Based Modeling and Gradual Distribution Shifting
UAI 2023
Adaptive Multi-stage Density Ratio Estimation for Learning Latent Space Energy-based Model
NeurIPS 2022
Context-Aware Health Event Prediction via Transition Functions on Dynamic Disease Graphs
AAAI 2022
Learning from the Tangram to Solve Mini Visual Tasks
AAAI 2022
Generative Text Modeling through Short Run Inference
EACL 2021
Joint Training of Variational Auto-Encoder and Latent Energy-Based Model
CVPR 2020
Learning Latent Space Energy-Based Prior Model
NeurIPS 2020
Learning Multi-layer Latent Variable Model via Variational Optimization of Short Run MCMC for Approximate Inference
ECCV 2020
Neuro-Symbolic Program Search for Autonomous Driving Decision Module Design
CoRL 2020
On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models
AAAI 2020
Divergence Triangle for Joint Training of Generator Model, Energy-Based Model, and Inferential Model
CVPR 2019
Unsupervised Disentangling of Appearance and Geometry by Deformable Generator Network
CVPR 2019
Replicating Active Appearance Model by Generator Network
IJCAI 2018