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Matthew Ho
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2020 – today
- 2024
- [j1]Matthew Ho, Todd J. Levy, Ioannis Koulas, Kyriaki Founta, Kevin Coppa, Jamie S. Hirsch, Karina W. Davidson, Alex C. Spyropoulos, Theodoros P. Zanos:
Longitudinal dynamic clinical phenotypes of in-hospital COVID-19 patients across three dominant virus variants in New York. Int. J. Medical Informatics 181: 105286 (2024) - [c5]Omri Lev, Matthew Ho, Ligong Wang, Gregory W. Wornell:
On the Capacity of Scalar Gaussian Channels Subject to State Obfuscation. Allerton 2024: 1-5 - [i8]Matthew Ho, Deaglan J. Bartlett, Nicolas Chartier, Carolina Cuesta-Lázaro, Simon Ding, Axel Lapel, Pablo Lemos, Christopher C. Lovell, T. Lucas Makinen, Chirag Modi, Viraj Pandya, Shivam Pandey, Lucia A. Perez, Benjamin D. Wandelt, Greg L. Bryan:
LtU-ILI: An All-in-One Framework for Implicit Inference in Astrophysics and Cosmology. CoRR abs/2402.05137 (2024) - [i7]Alan Hsu, Matthew Ho, Joyce Lin, Carleen Markey, Michelle Ntampaka, Hy Trac, Barnabás Póczos:
Reconstructing Galaxy Cluster Mass Maps using Score-based Generative Modeling. CoRR abs/2410.02857 (2024) - [i6]Matthew Ho, Vincent Zhu, Xiaoyin Chen, Moksh Jain, Nikolay Malkin, Edwin Zhang:
Proof Flow: Preliminary Study on Generative Flow Network Language Model Tuning for Formal Reasoning. CoRR abs/2410.13224 (2024) - 2023
- [c4]Matthew Ho, Aditya Sharma, Justin Chang, Michael Saxon, Sharon Levy, Yujie Lu, William Yang Wang:
WikiWhy: Answering and Explaining Cause-and-Effect Questions. ICLR 2023 - [i5]Matthew Ho, Xiaosheng Zhao, Benjamin D. Wandelt:
Information-Ordered Bottlenecks for Adaptive Semantic Compression. CoRR abs/2305.11213 (2023) - [i4]Andrew K. Tan, Matthew Ho, Isaac L. Chuang:
On reliable computation over larger alphabets. CoRR abs/2306.13262 (2023) - 2022
- [i3]Matthew Ho, Aditya Sharma, Justin Chang, Michael Saxon, Sharon Levy, Yujie Lu, William Yang Wang:
WikiWhy: Answering and Explaining Cause-and-Effect Questions. CoRR abs/2210.12152 (2022) - 2021
- [i2]Matthew Ho, Andri Pradana, Thomas J. Elliott, Lock Yue Chew, Mile Gu:
Quantum-inspired identification of complex cellular automata. CoRR abs/2103.14053 (2021)
2010 – 2019
- 2019
- [i1]Matthew Ho, Mile Gu, Thomas J. Elliott:
Robust inference of memory structure for efficient quantum modelling of stochastic processes. CoRR abs/1911.02767 (2019) - 2014
- [c3]Rachel E. Learned, Michael Pitaro, Matthew Ho, Marko Kocic, Gary H. Whipple:
Leveraging interference for increasing throughput and reliability of commercial wireless femtocells. ACSSC 2014: 1301-1308 - 2013
- [c2]Catherine M. Keller, Matthew Ho, Prabahan Basu, Gary H. Whipple:
Information theoretic upper bounds on the number of distinguishable classes. ACSSC 2013: 1279-1285 - 2010
- [c1]Michael D. Linderman, Matthew Ho, David L. Dill, Teresa H. Meng, Garry P. Nolan:
Towards program optimization through automated analysis of numerical precision. CGO 2010: 230-237
Coauthor Index
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last updated on 2024-12-01 00:13 CET by the dblp team
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