Rose Yu

Yi-An Ma

Niklas Smedemark-Margulies

CoRR, 2021

Generator Surgery for Compressed Sensing.

[BibT_eX]

[DOI]

Jung Yeon Park

Max Daniels

Jan-Willem van de Meent

Paul Hand

CoRR, 2021

DeepGLEAM: a hybrid mechanistic and deep learning model for COVID-19 forecasting.

[BibT_eX]

[DOI]

Yian Ma

CoRR, 2021

Automatic Symmetry Discovery with Lie Algebra Convolutional Network.

[BibT_eX]

[DOI]

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

Traffic Forecasting using Vehicle-to-Vehicle Communication.

[BibT_eX]

[DOI]

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Bridging Physics-based and Data-driven modeling for Learning Dynamical Systems.

[BibT_eX]

[DOI]

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Physics-Guided AI for Large-Scale Spatiotemporal Data.

[BibT_eX]

[DOI]

Paris Perdikaris

Anuj Karpatne

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Quantifying Uncertainty in Deep Spatiotemporal Forecasting.

[BibT_eX]

[DOI]

Yi-An Ma

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

The 4th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery (epiDAMIK 4.0 @ KDD2021).

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Incorporating Symmetry into Deep Dynamics Models for Improved Generalization.

[BibT_eX]

[DOI]

Rui Wang

Robin Walters

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

Trajectory Prediction using Equivariant Continuous Convolution.

[BibT_eX]

[DOI]

Robin Walters

Jinxi Li

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

2020

Dynamic Relational Inference in Multi-Agent Trajectories.

[BibT_eX]

[DOI]

Ruichao Xiao

CoRR, 2020

Learning Disentangled Representations of Video with Missing Data.

[BibT_eX]

[DOI]

Armand Comas Massague

CoRR, 2020

Finding Patient Zero: Learning Contagion Source with Graph Neural Networks.

[BibT_eX]

[DOI]

Albert-László Barabási

M. Clara De Paolis Kaluza

CoRR, 2020

Aortic Pressure Forecasting with Deep Sequence Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Learning Disentangled Representations of Videos with Missing Data.

[BibT_eX]

[DOI]

Armand Comas Massague

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

Deep Imitation Learning for Bimanual Robotic Manipulation.

[BibT_eX]

[DOI]

Fan Xie

Alexander Chowdhury

Linfeng Zhao

Lawson L. S. Wong

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

Towards Physics-informed Deep Learning for Turbulent Flow Prediction.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis.

[BibT_eX]

[DOI]

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

Aortic Pressure Forecasting With Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Computing in Cardiology, 2020

2019

NAOMI: Non-Autoregressive Multiresolution Sequence Imputation.

[BibT_eX]

[DOI]

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

Understanding the Representation Power of Graph Neural Networks in Learning Graph Topology.

[BibT_eX]

[DOI]

Nima Dehmamy

Albert-László Barabási

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

Neural Lander: Stable Drone Landing Control Using Learned Dynamics.

[BibT_eX]

[DOI]

Kamyar Azizzadenesheli

Animashree Anandkumar

Yisong Yue

Soon-Jo Chung

Proceedings of the International Conference on Robotics and Automation, 2019

2018

Learning Tensor Latent Features.

[BibT_eX]

[DOI]

CoRR, 2018

Multi-resolution Tensor Learning for Large-Scale Spatial Data.

[BibT_eX]

[DOI]

Stephan Zheng

Yisong Yue

CoRR, 2018

Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

Tensor Regression Meets Gaussian Processes.

[BibT_eX]

[DOI]

Max Guangyu Li

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Spatiotemporal Analysis of Social Media Data.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of GIS., 2017

Long-term Forecasting using Tensor-Train RNNs.

[BibT_eX]

[DOI]

CoRR, 2017

Graph Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting.

[BibT_eX]

[DOI]

CoRR, 2017

Deep Learning: A Generic Approach for Extreme Condition Traffic Forecasting.

[BibT_eX]

[DOI]

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

2016

A Survey on Social Media Anomaly Detection.

[BibT_eX]

[DOI]

SIGKDD Explor., 2016

Socratic Learning.

[BibT_eX]

[DOI]

CoRR, 2016

Geographic Segmentation via Latent Poisson Factor Model.

[BibT_eX]

[DOI]

Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Latent Space Model for Road Networks to Predict Time-Varying Traffic.

[BibT_eX]

[DOI]

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Learning from Multiway Data: Simple and Efficient Tensor Regression.

[BibT_eX]

[DOI]

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

GLAD: Group Anomaly Detection in Social Media Analysis.

[BibT_eX]

[DOI]

Xinran He

ACM Trans. Knowl. Discov. Data, 2015

Accelerated Online Low Rank Tensor Learning for Multivariate Spatiotemporal Streams.

[BibT_eX]

[DOI]

Dehua Cheng

Proceedings of the 32nd International Conference on Machine Learning, 2015

2014

Fast Multivariate Spatio-temporal Analysis via Low Rank Tensor Learning.

[BibT_eX]

[DOI]

Mohammad Taha Bahadori

Qi Rose Yu