Lantao Yu
17 papers · 2019–2025 · 7 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+12 more ↓ Show less ↑
π§ Keyword Pioneer π Conference Polyglot (7) πΊοΈ Taxonomy Completionist (10) π Interdisciplinary Bridge π Academic Marathon (6)
πΊοΈ
Taxonomy Completionist
(10)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π€
Dynamic Duo
(10)
π
Triple Crown
π
Grand Slam
π₯
Mega-Team
(20)
ποΈ
Keyword Collector
(84)
π
Century Club
(17)
π
Conference Pioneer
β‘
Prolific Year
(5)
π₯
Unstoppable
(7)
Conferences
ICML (5)
NIPS (5)
AAAI (3)
AISTATS (1)
CVPR (1)
ICLR (1)
WACV (1)
Top co-authors
Research topics
Keywords
maximum likelihood
(3)
generative model
(3)
expected improvement
(2)
latent variable model
(2)
energy-based model
(2)
adversarial learning
(2)
reward function
(2)
inverse reinforcement learning
(2)
bayesian optimization
(2)
partition function
(2)
variational inference
(2)
acquisition function
(2)
generative adversarial network
(2)
multi-agent system
(2)
contrastive divergence
(2)
autoregressive model
(2)
density ratio estimation
(2)
decision theory
(1)
density estimation
(1)
offline reinforcement learning
(1)
Papers
A Data Perspective on Enhanced Identity Preservation for Diffusion Personalization
WACV 2025
DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-based 3D Vision
CVPR 2024
Offline Imitation Learning with Suboptimal Demonstrations via Relaxed Distribution Matching
AAAI 2023
GeoDiff: A Geometric Diffusion Model for Molecular Conformation Generation
ICLR 2022
A General Recipe for Likelihood-free Bayesian Optimization
ICML 2022
Generalizing Bayesian Optimization with Decision-theoretic Entropies
NIPS 2022
Pseudo-Spherical Contrastive Divergence
NIPS 2021
Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation
AISTATS 2020
Autoregressive Score Matching
NIPS 2020
MOPO: Model-based Offline Policy Optimization
NIPS 2020
Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip
AAAI 2020
Training Deep Energy-Based Models with f-Divergence Minimization
ICML 2020
Multi-Agent Adversarial Inverse Reinforcement Learning
ICML 2019
Lipschitz Generative Adversarial Nets
ICML 2019
Deep Reinforcement Learning for Green Security Games with Real-Time Information
AAAI 2019
Meta-Inverse Reinforcement Learning with Probabilistic Context Variables
NIPS 2019
CoT: Cooperative Training for Generative Modeling of Discrete Data
ICML 2019