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ORCIDGeoffrey Mon
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2020 – today
- 2024
[c5]Geoffrey Mon, Dana Moshkovitz, Justin Oh:
Approximate Locally Decodable Codes with Constant Query Complexity and Nearly Optimal Rate. ISIT 2024: 2838-2843- [c4]Vinayak M. Kumar
, Geoffrey Mon:
Relaxed Local Correctability from Local Testing. STOC 2024: 1585-1593 - 2023
- [i3]Vinayak M. Kumar, Geoffrey Mon:
Relaxed Local Correctability from Local Testing. CoRR abs/2306.17035 (2023) - [i2]Vinayak M. Kumar, Geoffrey Mon:
Relaxed Local Correctability from Local Testing. Electron. Colloquium Comput. Complex. TR23 (2023) - [i1]Geoffrey Mon, Dana Moshkovitz, Justin Oh:
Approximate Locally Decodable Codes with Constant Query Complexity and Nearly Optimal Rate. Electron. Colloquium Comput. Complex. TR23 (2023) - 2021
- [c3]Ron Zeira, Geoffrey Mon, Benjamin J. Raphael:
Genome Halving and Aliquoting Under the Copy Number Distance. WABI 2021: 18:1-18:25 - 2020
- [c2]Gryte Satas, Simone Zaccaria, Geoffrey Mon, Benjamin J. Raphael:
Single-Cell Tumor Phylogeny Inference with Copy-Number Constrained Mutation Losses. RECOMB 2020: 273
2010 – 2019
- 2019
- [j1]Milad Makkie, Xiang Li, Shannon Quinn, Binbin Lin, Jieping Ye, Geoffrey Mon, Tianming Liu:
A Distributed Computing Platform for fMRI Big Data Analytics. IEEE Trans. Big Data 5(2): 109-119 (2019) - 2016
- [c1]Geoffrey Mon, Milad Makkie, Xiang Li, Tianming Liu, Shannon Quinn:
Implementing dictionary learning in Apache Flink, Or: How I learned to relax and love iterations. IEEE BigData 2016: 2363-2367
Coauthor Index
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