Lantao Yu

Orcid: 0000-0003-0569-952X

According to our database1, Lantao Yu authored at least 42 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Isotropic Gaussian Splatting for Real-Time Radiance Field Rendering.
CoRR, 2024

2023
DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-based 3D Vision.
CoRR, 2023

A Data Perspective on Enhanced Identity Preservation for Diffusion Personalization.
CoRR, 2023

Offline Imitation Learning with Suboptimal Demonstrations via Relaxed Distribution Matching.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Fast and High-Quality Blind Multi-Spectral Image Pansharpening.
IEEE Trans. Geosci. Remote. Sens., 2022

Generalizing Bayesian Optimization with Decision-theoretic Entropies.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A General Recipe for Likelihood-free Bayesian Optimization.
Proceedings of the International Conference on Machine Learning, 2022

GeoDiff: A Geometric Diffusion Model for Molecular Conformation Generation.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Adversarial Inverse Reinforcement Learning With Self-Attention Dynamics Model.
IEEE Robotics Autom. Lett., 2021

A Unified Framework for Multi-distribution Density Ratio Estimation.
CoRR, 2021

Manifold-Inspired Single Image Interpolation.
CoRR, 2021

Multi-agent Imitation Learning with Copulas.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Pseudo-Spherical Contrastive Divergence.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Quarter Laplacian Filter For Edge Aware Image Processing.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

A Discrete Scheme for Computing Image's Weighted Gaussian Curvature.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020
Understanding Self-supervised Learning with Dual Deep Networks.
CoRR, 2020

MOPO: Model-based Offline Policy Optimization.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Autoregressive Score Matching.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Training Deep Energy-Based Models with f-Divergence Minimization.
Proceedings of the 37th International Conference on Machine Learning, 2020

Blind Multi-Spectral Image Pan-Sharpening.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Improving Unsupervised Domain Adaptation with Variational Information Bottleneck.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Meta-Inverse Reinforcement Learning with Probabilistic Context Variables.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Lipschitz Generative Adversarial Nets.
Proceedings of the 36th International Conference on Machine Learning, 2019

Multi-Agent Adversarial Inverse Reinforcement Learning.
Proceedings of the 36th International Conference on Machine Learning, 2019

CoT: Cooperative Training for Generative Modeling of Discrete Data.
Proceedings of the 36th International Conference on Machine Learning, 2019

Accurate Edge Location Identification Based on Location-Directed Image Modeling.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

When Spatially-Variant Filtering Meets Low-Rank Regularization: Exploiting Non-Local Similarity for Single Image Interpolation.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Single Image Interpolation Exploiting Semi-local Similarity.
Proceedings of the IEEE International Conference on Acoustics, 2019

Deep Reinforcement Learning for Green Security Games with Real-Time Information.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Understanding the Effectiveness of Lipschitz Constraint in Training of GANs via Gradient Analysis.
CoRR, 2018

Exploiting Data and Human Knowledge for Predicting Wildlife Poaching.
CoRR, 2018

CoT: Cooperative Training for Generative Modeling.
CoRR, 2018

Location-Directed Image Modeling and its Application to Image Interpolation.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Exploiting Data and Human Knowledge for Predicting Wildlife Poaching.
Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable Societies, 2018

A Study of AI Population Dynamics with Million-agent Reinforcement Learning.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Deep Reinforcement Learning for Green Security Game with Online Information.
Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
An Empirical Study of AI Population Dynamics with Million-agent Reinforcement Learning.
CoRR, 2017

IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Dynamic Attention Deep Model for Article Recommendation by Learning Human Editors' Demonstration.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017


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