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2020 – today
- 2024
[j6]Patrick Emami, Pan He, Sanjay Ranka, Anand Rangarajan
:
Toward Improving the Generation Quality of Autoregressive Slot VAEs. Neural Comput. 36(5): 858-896 (2024)- [i14]Peter Graf, Patrick Emami:
Three Pathways to Neurosymbolic Reinforcement Learning with Interpretable Model and Policy Networks. CoRR abs/2402.05307 (2024) - [i13]Patrick Emami, Zhaonan Li, Saumya Sinha, Truc Nguyen:
SysCaps: Language Interfaces for Simulation Surrogates of Complex Systems. CoRR abs/2405.19653 (2024) - [i12]Saumya Sinha, Brandon Benton, Patrick Emami:
On the Effectiveness of Neural Operators at Zero-Shot Weather Downscaling. CoRR abs/2409.13955 (2024) - 2023
- [j5]Patrick Emami, Aidan Perreault, Jeffrey N. Law, David Biagioni, Peter C. St. John:
Plug & play directed evolution of proteins with gradient-based discrete MCMC. Mach. Learn. Sci. Technol. 4(2): 25014 (2023) - [j4]Pan He, Patrick Emami, Sanjay Ranka, Anand Rangarajan:
Learning Canonical Embeddings for Unsupervised Shape Correspondence With Locally Linear Transformations. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14872-14887 (2023) - [c8]Patrick Emami, Xiangyu Zhang, David Biagioni, Ahmed S. Zamzam:
Non-Stationary Policy Learning for Multi-Timescale Multi-Agent Reinforcement Learning. CDC 2023: 2372-2378 - [c7]Patrick Emami, Abhijeet Sahu, Peter Graf:
BuildingsBench: A Large-Scale Dataset of 900K Buildings and Benchmark for Short-Term Load Forecasting. NeurIPS 2023 - [i11]Patrick Emami, Abhijeet Sahu, Peter Graf:
BuildingsBench: A Large-Scale Dataset of 900K Buildings and Benchmark for Short-Term Load Forecasting. CoRR abs/2307.00142 (2023) - [i10]Patrick Emami, Xiangyu Zhang, David Biagioni, Ahmed S. Zamzam:
Non-Stationary Policy Learning for Multi-Timescale Multi-Agent Reinforcement Learning. CoRR abs/2307.08794 (2023) - 2022
- [j3]Pan He, Patrick Emami, Sanjay Ranka, Anand Rangarajan:
Learning Scene Dynamics from Point Cloud Sequences. Int. J. Comput. Vis. 130(3): 669-695 (2022) - [j2]Patrick Emami, Lily Elefteriadou, Sanjay Ranka:
Long-Range Multi-Object Tracking at Traffic Intersections on Low-Power Devices. IEEE Trans. Intell. Transp. Syst. 23(3): 2482-2493 (2022) - [c6]Pan He, Patrick Emami, Sanjay Ranka, Anand Rangarajan:
Self-Supervised Robust Scene Flow Estimation via the Alignment of Probability Density Functions. AAAI 2022: 861-869 - [i9]Pan He, Patrick Emami, Sanjay Ranka, Anand Rangarajan:
Self-Supervised Robust Scene Flow Estimation via the Alignment of Probability Density Functions. CoRR abs/2203.12193 (2022) - [i8]Patrick Emami, Pan He, Sanjay Ranka, Anand Rangarajan:
Slot Order Matters for Compositional Scene Understanding. CoRR abs/2206.01370 (2022) - [i7]Pan He, Patrick Emami, Sanjay Ranka, Anand Rangarajan:
Learning Canonical Embeddings for Unsupervised Shape Correspondence with Locally Linear Transformations. CoRR abs/2209.02152 (2022) - [i6]Patrick Emami, Aidan Perreault, Jeffrey N. Law, David Biagioni, Peter C. St. John:
Plug & Play Directed Evolution of Proteins with Gradient-based Discrete MCMC. CoRR abs/2212.09925 (2022) - 2021
- [j1]Patrick Emami, Panos M. Pardalos, Lily Elefteriadou, Sanjay Ranka:
Machine Learning Methods for Data Association in Multi-Object Tracking. ACM Comput. Surv. 53(4): 69:1-69:34 (2021) - [c5]Patrick Emami, Pan He, Sanjay Ranka, Anand Rangarajan:
Efficient Iterative Amortized Inference for Learning Symmetric and Disentangled Multi-Object Representations. ICML 2021: 2970-2981 - [i5]Patrick Emami, Pan He, Sanjay Ranka, Anand Rangarajan:
Efficient Iterative Amortized Inference for Learning Symmetric and Disentangled Multi-Object Representations. CoRR abs/2106.03630 (2021) - [i4]Pan He, Patrick Emami, Sanjay Ranka, Anand Rangarajan:
Learning Scene Dynamics from Point Cloud Sequences. CoRR abs/2111.08755 (2021) - 2020
- [c4]Luis Vargas, Patrick Emami, Patrick Traynor:
On the Detection of Disinformation Campaign Activity with Network Analysis. CCSW 2020: 133-146 - [i3]Luis Vargas, Patrick Emami, Patrick Traynor:
On the Detection of Disinformation Campaign Activity with Network Analysis. CoRR abs/2005.13466 (2020)
2010 – 2019
- 2018
- [c3]Patrick Emami, Mahmoud Pourmehrab, Marilo Martin-Gasulla, Sanjay Ranka, Lily Elefteriadou:
A Comparison of Intelligent Signalized Intersection Controllers Under Mixed Traffic. ITSC 2018: 341-348 - [i2]Patrick Emami, Panos M. Pardalos, Lily Elefteriadou, Sanjay Ranka:
Machine Learning Methods for Solving Assignment Problems in Multi-Target Tracking. CoRR abs/1802.06897 (2018) - [i1]Patrick Emami, Sanjay Ranka:
Learning Permutations with Sinkhorn Policy Gradient. CoRR abs/1805.07010 (2018) - 2017
- [c2]Patrick Emami, Lily Elefteriadou, Sanjay Ranka:
Tracking Vehicles Equipped with Dedicated Short-Range Communication at Traffic Intersections. DIVANet@MSWiM 2017: 9-16 - 2014
- [c1]Alan J. Hamlet, Patrick Emami, Carl D. Crane III:
A gesture recognition system for mobile robots that learns online. IROS 2014: 2114-2119
Coauthor Index
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