Alexander Long

According to our database, Alexander Long authored at least 17 papers between 2014 and 2026.

Collaborative distances:

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

2026

Unextractable Protocol Models: Collaborative Training and Inference without Weight Materialization.

Alexander Long, Chamin Hewa Koneputugodage, Thalaiyasingam Ajanthan, Yan Zuo, Gil Avraham, Violetta Shevchenko, Hadi Mohaghegh Dolatabadi, Sameera Ramasinghe

CoRR, May, 2026

NuMuon: Nuclear-Norm-Constrained Muon for Compressible LLM Training.

Hadi Mohaghegh Dolatabadi, Thalaiyasingam Ajanthan, Sameera Ramasinghe, Chamin Hewa Koneputugodage, Shamane Siriwardhana, Violetta Shevchenko, Karol Pajak, James Snewin, Gil Avraham, Alexander Long

CoRR, March, 2026

SENTINEL: Stagewise Integrity Verification for Pipeline Parallel Decentralized Training.

Hadi Mohaghegh Dolatabadi, Thalaiyasingam Ajanthan, Sameera Ramasinghe, Chamin Hewa Koneputugodage, Gil Avraham, Yan Zuo, Violetta Shevchenko, Alexander Long

CoRR, March, 2026

AsyncMesh: Fully Asynchronous Optimization for Data and Pipeline Parallelism.

Thalaiyasingam Ajanthan, Sameera Ramasinghe, Gil Avraham, Hadi Mohaghegh Dolatabadi, Chamin Hewa Koneputugodage, Violetta Shevchenko, Yan Zuo, Alexander Long

CoRR, January, 2026

2025

Protocol Models: Scaling Decentralized Training with Communication-Efficient Model Parallelism.

Sameera Ramasinghe, Thalaiyasingam Ajanthan, Gil Avraham, Yan Zuo, Alexander Long

CoRR, June, 2025

Subspace Networks: Scaling Decentralized Training with Communication-Efficient Model Parallelism.

Sameera Ramasinghe, Thalaiyasingam Ajanthan, Gil Avraham, Yan Zuo, Alexander Long

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Nesterov Method for Asynchronous Pipeline Parallel Optimization.

Thalaiyasingam Ajanthan, Sameera Ramasinghe, Yan Zuo, Gil Avraham, Alexander Long

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Protocol Learning, Decentralized Frontier Risk and the No-Off Problem.

Alexander Long

CoRR, 2024

ShellCollect: A Framework for Smart Precision Shellfish Harvesting Using Data Collection Path Planning.

Chiao-Yi Wang, Guru Nandhan Appiya Dilipkumar Peethambari, Yi-Ting Shen, Wei-Yu Chen, Sandip Sharan Senthil Kumar, Alexander Long, Alan Williams, Gudjon Magnusson, Allen Pattillo, Don Webster, Matthew Gray, Miao Yu, Yang Tao

IEEE Access, 2024

LipAT: Beyond Style Transfer for Controllable Neural Simulation of Lipstick using Cosmetic Attributes.

Amila Silva, Olga Moskvyak, Alexander Long, Ravi Garg, Stephen Gould, Gil Avraham, Anton van den Hengel

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

A sampling theory perspective on activations for implicit neural representations.

Hemanth Saratchandran, Sameera Ramasinghe, Violetta Shevchenko, Alexander Long, Simon Lucey

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2022

External Nonparametric Memory in Deep Learning.

Alexander Long

PhD thesis, 2022

Retrieval Augmented Classification for Long-Tail Visual Recognition.

Alexander Long, Wei Yin, Thalaiyasingam Ajanthan, Vu Nguyen, Pulak Purkait, Ravi Garg, Alan Blair, Chunhua Shen, Anton van den Hengel

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Fast and Data Efficient Reinforcement Learning from Pixels via Non-parametric Value Approximation.

Alexander Long, Alan Blair, Herke van Hoof

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

2021

Spatial Dimensions of Algorithmic Transparency: A Summary.

Jayant Gupta, Alexander Long, Corey Kewei Xu, Tian Tang, Shashi Shekhar

Proceedings of the 17th International Symposium on Spatial and Temporal Databases, 2021

2014

Detecting malware samples with similar image sets.

Alexander Long, Joshua Saxe, Robert Gove

Proceedings of the 11th Workshop on Visualization for Cyber Security, 2014

SEEM: a scalable visualization for comparing multiple large sets of attributes for malware analysis.

Robert Gove, Joshua Saxe, Sigfried Gold, Alexander Long, Giacomo Bergamo

Proceedings of the 11th Workshop on Visualization for Cyber Security, 2014