Peter Morales

According to our database, Peter Morales authored at least 12 papers between 2019 and 2023.

Collaborative distances:

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

2023

Self-supervised Learning with Local Contrastive Loss for Detection and Semantic Segmentation.

Ashraful Islam, Ben Lundell, Harpreet Sawhney, Sudipta Sinha, Peter Morales, Richard J. Radke

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

2022

Scalable Online Planning for Multi-Agent MDPs.

Shushman Choudhury, Jayesh K. Gupta, Peter Morales, Mykel J. Kochenderfer

J. Artif. Intell. Res., 2022

2021

Selective network discovery via deep reinforcement learning on embedded spaces.

Peter Morales, Rajmonda Sulo Caceres, Tina Eliassi-Rad

Appl. Netw. Sci., 2021

Deep Implicit Coordination Graphs for Multi-agent Reinforcement Learning.

Sheng Li, Jayesh K. Gupta, Peter Morales, Ross E. Allen, Mykel J. Kochenderfer

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

Scalable Anytime Planning for Multi-Agent MDPs.

Shushman Choudhury, Jayesh K. Gupta, Peter Morales, Mykel J. Kochenderfer

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020

Signal Enhancement for Magnetic Navigation Challenge Problem.

Albert R. Gnadt, Joseph Belarge, Aaron Canciani, Lauren Conger, Joseph Curro, Alan Edelman, Peter Morales, Michael F. O'Keeffe, Jonathan Taylor, Christopher Rackauckas

CoRR, 2020

Towards Recurrent Autoregressive Flow Models.

John Mern, Peter Morales, Mykel J. Kochenderfer

CoRR, 2020

Towards a Distributed Framework for Multi-Agent Reinforcement Learning Research.

Yutai Zhou, Shawn Manuel, Peter Morales, Sheng Li, Jaime Peña, Ross E. Allen

Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020

Self-Supervised Feature Extraction for 3D Axon Segmentation.

Tzofi Klinghoffer, Peter Morales, Young-Gyun Park, Nicholas Evans, Kwanghun Chung, Laura J. Brattain

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Feature Forwarding for Efficient Single Image Dehazing.

Peter Morales, Tzofi Klinghoffer, Seung Jae Lee

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

NTIRE 2019 Image Dehazing Challenge Report.

Codruta O. Ancuti, Cosmin Ancuti, Radu Timofte, Luc Van Gool, Lei Zhang, Ming-Hsuan Yang, Tiantong Guo, Xuelu Li, Venkateswararao Cherukuri, Vishal Monga, Hao Jiang, Siyuan Yang, Yan Liu, Xiaochao Qu, Pengfei Wan, Dongwon Park, Se Young Chun, Ming Hong, Jinying Huang, Yizi Chen, Shuxin Chen, Bomin Wang, Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu, Jing Liu, Sanchayan Santra, Ranjan Mondal, Bhabatosh Chanda, Peter Morales, Tzofi Klinghoffer, Le Manh Quan, Yong-Guk Kim, Xiao Liang, Runde Li, Jinshan Pan, Jinhui Tang, Kuldeep Purohit, Maitreya Suin, A. N. Rajagopalan, Raimondo Schettini, Simone Bianco, Flavio Piccoli, Claudio Cusano, Luigi Celona, Sunhee Hwang, Yu Seung Ma, Hyeran Byun, Subrahmanyam Murala, Akshay Dudhane, Harshjeet Singh Aulakh, Tianxiang Zheng, Tao Zhang, Weining Qin, Runnan Zhou, Shanhu Wang, Jean-Philippe Tarel, Chuansheng Wang, Jiawei Wu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Deep Reinforcement Learning for Task-Driven Discovery of Incomplete Networks.

Peter Morales, Rajmonda Sulo Caceres, Tina Eliassi-Rad

Proceedings of the Complex Networks and Their Applications VIII, 2019