Lantao Yu
17 papers · 2019–2025 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (49) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Triple Crown
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Grand Slam
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Mega-Team Β· Squad
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Dynamic Duo
(10)
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Conference Pioneer
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Renaissance Researcher
(5)
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Keyword Collector
(89)
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Unstoppable Β· Bronze
Top co-authors
Research topics
Machine Learning
(15)
Deep Learning
(11)
Artificial Intelligence
(9)
Models
(7)
Optimization & Theory
(7)
Learning Paradigms
(5)
Learning Types Β· Deep Learning
(5)
Learning Types Β· Machine Learning
(5)
Reinforcement Learning
(4)
Core AI
(4)
Methods
(4)
Computer Vision
(3)
Core Methods
(3)
Mathematics & Optimization
(2)
Analysis
(2)
Keywords
maximum likelihood
(3)
generative model
(3)
adversarial learning
(2)
latent variable model
(2)
acquisition function
(2)
multi-agent system
(2)
reward function
(2)
inverse reinforcement learning
(2)
bayesian optimization
(2)
partition function
(2)
variational inference
(2)
autoregressive model
(2)
energy-based model
(2)
generative adversarial network
(2)
contrastive divergence
(2)
diffusion model
(2)
density ratio estimation
(2)
expected improvement
(2)
decision theory
(1)
density estimation
(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
A General Recipe for Likelihood-free Bayesian Optimization
ICML 2022
Generalizing Bayesian Optimization with Decision-theoretic Entropies
NeurIPS 2022
GeoDiff: A Geometric Diffusion Model for Molecular Conformation Generation
ICLR 2022
Pseudo-Spherical Contrastive Divergence
NeurIPS 2021
Autoregressive Score Matching
NeurIPS 2020
Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation
AISTATS 2020
Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip
AAAI 2020
MOPO: Model-based Offline Policy Optimization
NeurIPS 2020
Training Deep Energy-Based Models with f-Divergence Minimization
ICML 2020
CoT: Cooperative Training for Generative Modeling of Discrete Data
ICML 2019
Deep Reinforcement Learning for Green Security Games with Real-Time Information
AAAI 2019
Lipschitz Generative Adversarial Nets
ICML 2019
Meta-Inverse Reinforcement Learning with Probabilistic Context Variables
NeurIPS 2019
Multi-Agent Adversarial Inverse Reinforcement Learning
ICML 2019