A gesture recognition system for mobile robots that learns online. - Alan J. Hamlet; Patrick Emami; Carl D. Crane III (IROS, 2014)

Tracking Vehicles Equipped with Dedicated Short-Range Communication at Traffic Intersections. - Patrick Emami; Lily Elefteriadou; Sanjay Ranka (DIVANet@MSWiM, 2017)

A Comparison of Intelligent Signalized Intersection Controllers Under Mixed Traffic. - Patrick Emami; Mahmoud Pourmehrab; Marilo Martin-Gasulla; Sanjay Ranka; Lily Elefteriadou (ITSC, 2018)

Machine Learning Methods for Solving Assignment Problems in Multi-Target Tracking. - Patrick Emami; Panos M. Pardalos; Lily Elefteriadou; Sanjay Ranka (CoRR, 2018)

Learning Permutations with Sinkhorn Policy Gradient. - Patrick Emami; Sanjay Ranka (CoRR, 2018)

On the Detection of Disinformation Campaign Activity with Network Analysis. - Luis Vargas; Patrick Emami; Patrick Traynor (CCSW, 2020)

Efficient Iterative Amortized Inference for Learning Symmetric and Disentangled Multi-Object Representations. - Patrick Emami; Pan He; Sanjay Ranka; Anand Rangarajan 001 (ICML, 2021)

Machine Learning Methods for Data Association in Multi-Object Tracking. - Patrick Emami; Panos M. Pardalos; Lily Elefteriadou; Sanjay Ranka (ACM Comput. Surv., 2021)

Self-Supervised Robust Scene Flow Estimation via the Alignment of Probability Density Functions. - Pan He; Patrick Emami; Sanjay Ranka; Anand Rangarajan 001 (AAAI, 2022)

Slot Order Matters for Compositional Scene Understanding. - Patrick Emami; Pan He; Sanjay Ranka; Anand Rangarajan 001 (CoRR, 2022)

Learning Scene Dynamics from Point Cloud Sequences. - Pan He; Patrick Emami; Sanjay Ranka; Anand Rangarajan 001 (Int. J. Comput. Vis., 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)

Non-Stationary Policy Learning for Multi-Timescale Multi-Agent Reinforcement Learning. - Patrick Emami; Xiangyu Zhang 010; David Biagioni; Ahmed S. Zamzam (CDC, 2023)

BuildingsBench: A Large-Scale Dataset of 900K Buildings and Benchmark for Short-Term Load Forecasting. - Patrick Emami; Abhijeet Sahu; Peter Graf (NeurIPS, 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., 2023)

Learning Canonical Embeddings for Unsupervised Shape Correspondence With Locally Linear Transformations. - Pan He; Patrick Emami; Sanjay Ranka; Anand Rangarajan 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Three Pathways to Neurosymbolic Reinforcement Learning with Interpretable Model and Policy Networks. - Peter Graf; Patrick Emami (CoRR, 2024)

On the Effectiveness of Neural Operators at Zero-Shot Weather Downscaling. - Saumya Sinha; Brandon Benton; Patrick Emami (CoRR, 2024)

Toward Improving the Generation Quality of Autoregressive Slot VAEs. - Patrick Emami; Pan He; Sanjay Ranka; Anand Rangarajan 001 (Neural Comput., 2024)

SysCaps: Language Interfaces for Simulation Surrogates of Complex Systems. - Patrick Emami; Zhaonan Li; Saumya Sinha; Truc Nguyen (ICLR, 2025)