Patrick Emami

32 papers A* 4A 1Journal 23Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Conditional Diffusion Model for Building Energy Modeling Workflows.
CoRR
Saumya Sinha, Alexandre Cortiella, Rawad El Kontar, Andrew Glaws, Ryan N. King, Patrick Emami
2025 J jnl
CFD-LLMBench: A Benchmark Suite for Evaluating Large Language Models in Computational Fluid Dynamics.
CoRR
Nithin Somasekharan, Ling Yue, Yadi Cao, Weichao Li, Patrick Emami, Pochinapeddi Sai Bhargav, Anurag Acharya, Xingyu Xie, Shaowu Pan
2025 J jnl
Designing Future Energy Systems With Generative AI.
Comput. Sci. Eng.
Andrew Glaws, Ryan N. King, Patrick Emami, Grant Buster, Brandon N. Benton, Xiangyu Zhang, Ahmed S. Zamzam, Venkatesh Venkataramanan, Richard Macwan
2025 A* conf
SysCaps: Language Interfaces for Simulation Surrogates of Complex Systems.
ICLR
Patrick Emami, Zhaonan Li, Saumya Sinha, Truc Nguyen
2024 J jnl
On the Effectiveness of Neural Operators at Zero-Shot Weather Downscaling.
CoRR
Saumya Sinha, Brandon N. Benton, Patrick Emami
2024 J jnl
SysCaps: Language Interfaces for Simulation Surrogates of Complex Systems.
CoRR
Patrick Emami, Zhaonan Li, Saumya Sinha, Truc Nguyen
2024 J jnl
Three Pathways to Neurosymbolic Reinforcement Learning with Interpretable Model and Policy Networks.
CoRR
Peter Graf, Patrick Emami
2024 J jnl
Toward Improving the Generation Quality of Autoregressive Slot VAEs.
Neural Comput.
Patrick Emami, Pan He, Sanjay Ranka, Anand Rangarajan
2023 A* conf
BuildingsBench: A Large-Scale Dataset of 900K Buildings and Benchmark for Short-Term Load Forecasting.
NeurIPS
Patrick Emami, Abhijeet Sahu, Peter Graf
2023 J jnl
BuildingsBench: A Large-Scale Dataset of 900K Buildings and Benchmark for Short-Term Load Forecasting.
CoRR
Patrick Emami, Abhijeet Sahu, Peter Graf
2023 J jnl
Learning Canonical Embeddings for Unsupervised Shape Correspondence With Locally Linear Transformations.
IEEE Trans. Pattern Anal. Mach. Intell.
Pan He, Patrick Emami, Sanjay Ranka, Anand Rangarajan
2023 — conf
Non-Stationary Policy Learning for Multi-Timescale Multi-Agent Reinforcement Learning.
CDC
Patrick Emami, Xiangyu Zhang, David Biagioni, Ahmed S. Zamzam
2023 J jnl
Non-Stationary Policy Learning for Multi-Timescale Multi-Agent Reinforcement Learning.
CoRR
Patrick Emami, Xiangyu Zhang, David Biagioni, Ahmed S. Zamzam
2023 J jnl
Plug & play directed evolution of proteins with gradient-based discrete MCMC.
Mach. Learn. Sci. Technol.
Patrick Emami, Aidan Perreault, Jeffrey N. Law, David Biagioni, Peter C. St. John
2022 J jnl
Learning Canonical Embeddings for Unsupervised Shape Correspondence with Locally Linear Transformations.
CoRR
Pan He, Patrick Emami, Sanjay Ranka, Anand Rangarajan
2022 J jnl
Learning Scene Dynamics from Point Cloud Sequences.
Int. J. Comput. Vis.
Pan He, Patrick Emami, Sanjay Ranka, Anand Rangarajan
2022 J jnl
Long-Range Multi-Object Tracking at Traffic Intersections on Low-Power Devices.
IEEE Trans. Intell. Transp. Syst.
Patrick Emami, Lily Elefteriadou, Sanjay Ranka
2022 J jnl
Plug & Play Directed Evolution of Proteins with Gradient-based Discrete MCMC.
CoRR
Patrick Emami, Aidan Perreault, Jeffrey N. Law, David Biagioni, Peter C. St. John
2022 A* conf
Self-Supervised Robust Scene Flow Estimation via the Alignment of Probability Density Functions.
AAAI
Pan He, Patrick Emami, Sanjay Ranka, Anand Rangarajan
2022 J jnl
Self-Supervised Robust Scene Flow Estimation via the Alignment of Probability Density Functions.
CoRR
Pan He, Patrick Emami, Sanjay Ranka, Anand Rangarajan
2022 J jnl
Slot Order Matters for Compositional Scene Understanding.
CoRR
Patrick Emami, Pan He, Sanjay Ranka, Anand Rangarajan
2021 A* conf
Efficient Iterative Amortized Inference for Learning Symmetric and Disentangled Multi-Object Representations.
ICML
Patrick Emami, Pan He, Sanjay Ranka, Anand Rangarajan
2021 J jnl
Efficient Iterative Amortized Inference for Learning Symmetric and Disentangled Multi-Object Representations.
CoRR
Patrick Emami, Pan He, Sanjay Ranka, Anand Rangarajan
2021 J jnl
Learning Scene Dynamics from Point Cloud Sequences.
CoRR
Pan He, Patrick Emami, Sanjay Ranka, Anand Rangarajan
2021 J jnl
Machine Learning Methods for Data Association in Multi-Object Tracking.
ACM Comput. Surv.
Patrick Emami, Panos M. Pardalos, Lily Elefteriadou, Sanjay Ranka
2020 — conf
On the Detection of Disinformation Campaign Activity with Network Analysis.
CCSW
Luis Vargas, Patrick Emami, Patrick Traynor
2020 J jnl
On the Detection of Disinformation Campaign Activity with Network Analysis.
CoRR
Luis Vargas, Patrick Emami, Patrick Traynor
2018 — conf
A Comparison of Intelligent Signalized Intersection Controllers Under Mixed Traffic.
ITSC
Patrick Emami, Mahmoud Pourmehrab, Marilo Martin-Gasulla, Sanjay Ranka, Lily Elefteriadou
2018 J jnl
Learning Permutations with Sinkhorn Policy Gradient.
CoRR
Patrick Emami, Sanjay Ranka
2018 J jnl
Machine Learning Methods for Solving Assignment Problems in Multi-Target Tracking.
CoRR
Patrick Emami, Panos M. Pardalos, Lily Elefteriadou, Sanjay Ranka
2017 — conf
Tracking Vehicles Equipped with Dedicated Short-Range Communication at Traffic Intersections.
DIVANet
Patrick Emami, Lily Elefteriadou, Sanjay Ranka
2014 A conf
A gesture recognition system for mobile robots that learns online.
IROS
Alan J. Hamlet, Patrick Emami, Carl D. Crane III