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Matthew Dixon
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2020 – today
- 2024
- [i5]Marah I Abdin, Sam Ade Jacobs, Ammar Ahmad Awan, Jyoti Aneja, Ahmed Awadallah, Hany Awadalla, Nguyen Bach, Amit Bahree, Arash Bakhtiari, Harkirat S. Behl, Alon Benhaim, Misha Bilenko, Johan Bjorck, Sébastien Bubeck, Martin Cai, Caio César Teodoro Mendes, Weizhu Chen, Vishrav Chaudhary, Parul Chopra, Allie Del Giorno, Gustavo de Rosa, Matthew Dixon, Ronen Eldan, Dan Iter, Amit Garg, Abhishek Goswami, Suriya Gunasekar, Emman Haider, Junheng Hao, Russell J. Hewett, Jamie Huynh, Mojan Javaheripi, Xin Jin, Piero Kauffmann, Nikos Karampatziakis, Dongwoo Kim, Mahoud Khademi, Lev Kurilenko, James R. Lee, Yin Tat Lee, Yuanzhi Li, Chen Liang, Weishung Liu, Eric Lin, Zeqi Lin, Piyush Madan, Arindam Mitra, Hardik Modi, Anh Nguyen, Brandon Norick, Barun Patra, Daniel Perez-Becker, Thomas Portet, Reid Pryzant, Heyang Qin, Marko Radmilac, Corby Rosset, Sambudha Roy, Olatunji Ruwase, Olli Saarikivi, Amin Saied, Adil Salim, Michael Santacroce, Shital Shah, Ning Shang, Hiteshi Sharma, Xia Song, Masahiro Tanaka, Xin Wang, Rachel Ward, Guanhua Wang, Philipp Witte, Michael Wyatt, Can Xu, Jiahang Xu, Sonali Yadav, Fan Yang, Ziyi Yang, Donghan Yu, Chengruidong Zhang, Cyril Zhang, Jianwen Zhang, Li Lyna Zhang, Yi Zhang, Yue Zhang, Yunan Zhang, Xiren Zhou:
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone. CoRR abs/2404.14219 (2024) - [i4]Luke Koch
, Sean Oesch, Amul Chaulagain, Jared Dixon, Matthew Dixon, Mike Huettal, Amir Sadovnik, Cory L. Watson, Brian Weber, Jacob Hartman, Richard Patulski:
On the Abuse and Detection of Polyglot Files. CoRR abs/2407.01529 (2024) - 2021
- [j7]Matthew Dixon, Tyler Ward
Information-Corrected Estimation: A Generalization Error Reducing Parameter Estimation Method. Entropy 23(11): 1419 (2021) - [i3]Sylwester Klocek, Haiyu Dong, Matthew Dixon, Panashe Kanengoni, Najeeb Kazmi, Pete Luferenko, Zhongjian Lv, Shikhar Sharma, Jonathan A. Weyn, Siqi Xiang:
MS-nowcasting: Operational Precipitation Nowcasting with Convolutional LSTMs at Microsoft Weather. CoRR abs/2111.09954 (2021) - 2020
- [j6]Matthew Dixon, Justin London:
Financial Forecasting With α-RNNs: A Time Series Modeling Approach. Frontiers Appl. Math. Stat. 6: 551138 (2020) - [i2]Matthew Dixon, Igor Halperin:
G-Learner and GIRL: Goal Based Wealth Management with Reinforcement Learning. CoRR abs/2002.10990 (2020)
2010 – 2019
- 2018
- [j5]Matthew Dixon:
Sequence classification of the limit order book using recurrent neural networks. J. Comput. Sci. 24: 277-286 (2018) - 2017
- [j4]Matthew Dixon, Diego Klabjan, Jin Hoon Bang:
Classification-based financial markets prediction using deep neural networks. Algorithmic Finance 6(3-4): 67-77 (2017) - 2016
- [j3]Matthew Dixon, José E. Moreira, David Daly:
Workshop on high-performance computational finance. Concurr. Comput. Pract. Exp. 28(3): 834-835 (2016) - [j2]Matthew Dixon, Jörg Lotze, Mohammad Zubair:
A portable, extensible and fast stochastic volatility model calibration using multi and many-core processors. Concurr. Comput. Pract. Exp. 28(3): 866-877 (2016) - [i1]Matthew Dixon, Diego Klabjan, Jin Hoon Bang:
Classiffication-based Financial Markets Prediction using Deep Neural Networks. CoRR abs/1603.08604 (2016) - 2015
- [c6]Matthew Dixon, Diego Klabjan, Jin Hoon Bang:
Implementing deep neural networks for financial market prediction on the Intel Xeon Phi. WHPCF@SC 2015: 6:1-6:6 - 2014
- [j1]Matthew Dixon, Jike Chong:
A Bayesian approach to ranking private companies based on predictive indicators. AI Commun. 27(2): 173-188 (2014) - [c5]Matthew Dixon, Jörg Lotze, Mohammad Zubair:
A portable and fast stochastic volatility model calibration using multi and many-core processors. WHPCF@SC 2014: 23-28 - [c4]Matthew Dixon, Sabbir Ahmed Khan, Mohammad Zubair:
Accelerating option risk analytics in R using GPUs. SpringSim (HPS) 2014: 24 - [e2]David Daly, Matthew Dixon, José E. Moreira:
Proceedings of the 7th Workshop on High Performance Computational Finance, WHPCF '14, New Orleans, Louisiana, USA, November 16-21, 2014. IEEE 2014, ISBN 978-1-4799-7027-8 [contents] - 2013
- [c3]Matthew Dixon, Mohammad Zubair:
Calibration of stochastic volatility models on a multi-core CPU cluster. WHPCF@SC 2013: 6:1-6:7 - 2011
- [e1]Mikhail Smelyanskiy, Matthew Dixon, David Daly, Maria Eleftheriou, José E. Moreira, Kyung Dong Ryu:
WHPCF'11, Proceedings of the Fourth Workshop on High Performance Computational Finance, co-located with SC11, Seattle, WA, USA, November 13, 2011. ACM 2011, ISBN 978-1-4503-1108-3 [contents]
2000 – 2009
- 2009
- [c2]Matthew Dixon, Jike Chong, Kurt Keutzer:
Acceleration of market value-at-risk estimation. SC-WHPCF 2009 - 2003
- [c1]Wolffried Stucky, Matthew Dixon, Peter Bumann, Andreas Oberweis:
Information Technology Practitioner Skills in Europe: Current Status and Challenges for the Future. Computer Science in Perspective 2003: 304-317
Coauthor Index
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