Patrick Emami

According to our database, Patrick Emami authored at least 17 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Three Pathways to Neurosymbolic Reinforcement Learning with Interpretable Model and Policy Networks.

Peter Graf, Patrick Emami

CoRR, 2024

2023

Learning Canonical Embeddings for Unsupervised Shape Correspondence With Locally Linear Transformations.

Pan He, Patrick Emami, Sanjay Ranka, Anand Rangarajan

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Plug & play directed evolution of proteins with gradient-based discrete MCMC.

Patrick Emami, Aidan Perreault, Jeffrey N. Law, David Biagioni, Peter C. St. John

Mach. Learn. Sci. Technol., June, 2023

BuildingsBench: A Large-Scale Dataset of 900K Buildings and Benchmark for Short-Term Load Forecasting.

Patrick Emami, Abhijeet Sahu, Peter Graf

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Non-Stationary Policy Learning for Multi-Timescale Multi-Agent Reinforcement Learning.

Patrick Emami, Xiangyu Zhang, David Biagioni, Ahmed S. Zamzam

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Long-Range Multi-Object Tracking at Traffic Intersections on Low-Power Devices.

Patrick Emami, Lily Elefteriadou, Sanjay Ranka

IEEE Trans. Intell. Transp. Syst., 2022

Learning Scene Dynamics from Point Cloud Sequences.

Pan He, Patrick Emami, Sanjay Ranka, Anand Rangarajan

Int. J. Comput. Vis., 2022

Slot Order Matters for Compositional Scene Understanding.

Patrick Emami, Pan He, Sanjay Ranka, Anand Rangarajan

CoRR, 2022

Self-Supervised Robust Scene Flow Estimation via the Alignment of Probability Density Functions.

Pan He, Patrick Emami, Sanjay Ranka, Anand Rangarajan

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

2021

Machine Learning Methods for Data Association in Multi-Object Tracking.

Patrick Emami, Panos M. Pardalos, Lily Elefteriadou, Sanjay Ranka

ACM Comput. Surv., 2021

Efficient Iterative Amortized Inference for Learning Symmetric and Disentangled Multi-Object Representations.

Patrick Emami, Pan He, Sanjay Ranka, Anand Rangarajan

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

On the Detection of Disinformation Campaign Activity with Network Analysis.

Luis Vargas, Patrick Emami, Patrick Traynor

Proceedings of the CCSW'20, 2020

2018

Learning Permutations with Sinkhorn Policy Gradient.

Patrick Emami, Sanjay Ranka

CoRR, 2018

Machine Learning Methods for Solving Assignment Problems in Multi-Target Tracking.

Patrick Emami, Panos M. Pardalos, Lily Elefteriadou, Sanjay Ranka

CoRR, 2018

A Comparison of Intelligent Signalized Intersection Controllers Under Mixed Traffic.

Patrick Emami, Mahmoud Pourmehrab, Marilo Martin-Gasulla, Sanjay Ranka, Lily Elefteriadou

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

2017

Tracking Vehicles Equipped with Dedicated Short-Range Communication at Traffic Intersections.

Patrick Emami, Lily Elefteriadou, Sanjay Ranka

Proceedings of the 6th ACM Symposium on Development and Analysis of Intelligent VehicularNetworks and Applications, 2017

2014

A gesture recognition system for mobile robots that learns online.

Alan J. Hamlet, Patrick Emami, Carl D. Crane III

Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014