Jiaming Song

Yongxin Chen

CoRR, 2023

Sphere2Vec: A General-Purpose Location Representation Learning over a Spherical Surface for Large-Scale Geospatial Predictions.

[BibT_eX]

[DOI]

CoRR, 2023

Seer: Language Instructed Video Prediction with Latent Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2023

Score-based Diffusion Models in Function Space.

[BibT_eX]

[DOI]

Kamyar Azizzadenesheli

CoRR, 2023

SIGGRAPH 2023 Course on Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the ACM SIGGRAPH 2023 Courses, 2023

SMRD: SURE-Based Robust MRI Reconstruction with Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Loss-Guided Diffusion Models for Plug-and-Play Controllable Generation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representations.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Dual Diffusion Implicit Bridges for Image-to-Image Translation.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Pseudoinverse-Guided Diffusion Models for Inverse Problems.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

PhysDiff: Physics-Guided Human Motion Diffusion Model.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DiffCollage: Parallel Generation of Large Content with Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Affordance Diffusion: Synthesizing Hand-Object Interactions.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Offline Imitation Learning with Suboptimal Demonstrations via Relaxed Distribution Matching.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers.

[BibT_eX]

[DOI]

CoRR, 2022

JPEG Artifact Correction using Denoising Diffusion Restoration Models.

[BibT_eX]

[DOI]

CoRR, 2022

Concrete Score Matching: Generalized Score Matching for Discrete Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Denoising Diffusion Restoration Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

LISA: Learning Interpretable Skill Abstractions from Language.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Experience Replay with Likelihood-free Importance Weights.

[BibT_eX]

[DOI]

Proceedings of the Learning for Dynamics and Control Conference, 2022

A General Recipe for Likelihood-free Bayesian Optimization.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Comparing Distributions by Measuring Differences that Affect Decision Making.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

BigDL 2.0: Seamless Scaling of AI Pipelines from Laptops to Distributed Cluster.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

IS-Count: Large-Scale Object Counting from Satellite Images with Covariate-Based Importance Sampling.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Compression, generation, and inference via supervised learning.

[BibT_eX]

[DOI]

PhD thesis, 2021

Multi-Installment Scheduling for Large-Scale Workload Computation with Result Retrieval.

[BibT_eX]

[DOI]

Xiaoli Wang

Bharadwaj Veeravalli

Neurocomputing, 2021

SDEdit: Image Synthesis and Editing with Stochastic Differential Equations.

[BibT_eX]

[DOI]

CoRR, 2021

D2C: Diffusion-Denoising Models for Few-shot Conditional Generation.

[BibT_eX]

[DOI]

CoRR, 2021

Pseudo-Spherical Contrastive Divergence.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

D2C: Diffusion-Decoding Models for Few-Shot Conditional Generation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Imitation with Neural Density Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

IQ-Learn: Inverse soft-Q Learning for Imitation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Denoising Diffusion Implicit Models.

[BibT_eX]

[DOI]

Chenlin Meng

Proceedings of the 9th International Conference on Learning Representations, 2021

Negative Data Augmentation.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Improved Autoregressive Modeling with Distribution Smoothing.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Privacy Preserving Recalibration under Domain Shift.

[BibT_eX]

[DOI]

CoRR, 2020

Robust and On-the-fly Dataset Denoising for Image Classification.

[BibT_eX]

[DOI]

CoRR, 2020

Multi-label Contrastive Predictive Coding.

[BibT_eX]

[DOI]

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

Autoregressive Score Matching.

[BibT_eX]

[DOI]

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

Belief Propagation Neural Networks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Bridging the Gap Between f-GANs and Wasserstein GANs.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Domain Adaptive Imitation Learning.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

A Theory of Usable Information under Computational Constraints.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Understanding the Limitations of Variational Mutual Information Estimators.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

DOA Estimation for Arbitrarily Distributed Subarrays in UAV Swarm.

[BibT_eX]

[DOI]

Proceedings of the 9th IEEE/CIC International Conference on Communications in China, 2020

Robust and On-the-Fly Dataset Denoising for Image Classification.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Multi-agent Adversarial Inverse Reinforcement Learning with Latent Variables.

[BibT_eX]

[DOI]

Nate Gruver

Mykel J. Kochenderfer

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Permutation Invariant Graph Generation via Score-Based Generative Modeling.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Gaussianization Flows.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Unsupervised Out-of-Distribution Detection with Batch Normalization.

[BibT_eX]

[DOI]

Yang Song

CoRR, 2019

Cross Domain Imitation Learning.

[BibT_eX]

[DOI]

CoRR, 2019

Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Multi-Agent Adversarial Inverse Reinforcement Learning.

[BibT_eX]

[DOI]

Lantao Yu

Proceedings of the 36th International Conference on Machine Learning, 2019

Calibrated Model-Based Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Bias Correction of Learned Generative Models via Likelihood-free Importance Weighting.

[BibT_eX]

[DOI]

Proceedings of the Deep Generative Models for Highly Structured Data, 2019

A Scalable Sparse Matrix-Based Join for SPARQL Query Processing.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2019

A New Scheduling Model for Tire Production and Transportation Among Distributed Factories.

[BibT_eX]

[DOI]

Xiaobo Song

Xiaoli Wang

Proceedings of the 15th International Conference on Computational Intelligence and Security, 2019

Learning Controllable Fair Representations.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

InfoVAE: Balancing Learning and Inference in Variational Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Malicious behaviour classification in web logs based on an improved Xgboost algorithm.

[BibT_eX]

[DOI]

Int. J. Web Eng. Technol., 2018

gSMat: A Scalable Sparse Matrix-based Join for SPARQL Query Processing.

[BibT_eX]

[DOI]

CoRR, 2018

The Information Autoencoding Family: A Lagrangian Perspective on Latent Variable Generative Models.

[BibT_eX]

[DOI]

CoRR, 2018

An Empirical Analysis of Proximal Policy Optimization with Kronecker-factored Natural Gradients.

[BibT_eX]

[DOI]

Yuhuai Wu

CoRR, 2018

Learning with Weak Supervision from Physics and Data-Driven Constraints.

[BibT_eX]

[DOI]

AI Mag., 2018

MapSQ: A Plugin-based MapReduce Framework for SPARQL Queries on GPU.

[BibT_eX]

[DOI]

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

A Lagrangian Perspective on Latent Variable Generative Models.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Bias and Generalization in Deep Generative Models: An Empirical Study.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Multi-Agent Generative Adversarial Imitation Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Adversarial Constraint Learning for Structured Prediction.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Accelerating Natural Gradient with Higher-Order Invariance.

[BibT_eX]

[DOI]

Yang Song

Proceedings of the 35th International Conference on Machine Learning, 2018

Char-Level Neural Network for Network Anomaly Behavior Detection.

[BibT_eX]

[DOI]

Sheng Wang

Ruixu Guo

Proceedings of the Human Centered Computing - 4th International Conference, 2018

2017

InfoVAE: Information Maximizing Variational Autoencoders.

[BibT_eX]

[DOI]

CoRR, 2017

Towards Deeper Understanding of Variational Autoencoding Models.

[BibT_eX]

[DOI]

CoRR, 2017

Learning Hierarchical Features from Generative Models.

[BibT_eX]

[DOI]

CoRR, 2017

On the Limits of Learning Representations with Label-Based Supervision.

[BibT_eX]

[DOI]

CoRR, 2017

Inferring The Latent Structure of Human Decision-Making from Raw Visual Inputs.

[BibT_eX]

[DOI]

Yunzhu Li

CoRR, 2017

A-NICE-MC: Adversarial Training for MCMC.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations.

[BibT_eX]

[DOI]

Yunzhu Li

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Learning Hierarchical Features from Deep Generative Models.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

Generative Adversarial Learning of Markov Chains.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Learning Representations, 2017

SPARQL Query Parallel Processing: A Survey.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Congress on Big Data, 2017

2016

Max-Margin Nonparametric Latent Feature Models for Link Prediction.

[BibT_eX]

[DOI]

Jun Zhu

Bei Chen

CoRR, 2016

Factored Temporal Sigmoid Belief Networks for Sequence Learning.

[BibT_eX]

[DOI]