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Enabling Binary Neural Network Training on the Edge


Feb 10, 2021
Erwei Wang, James J. Davis, Daniele Moro, Piotr Zielinski, Claudionor Coelho, Satrajit Chatterjee, Peter Y. K. Cheung, George A. Constantinides


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Apollo: Transferable Architecture Exploration


Feb 02, 2021
Amir Yazdanbakhsh, Christof Angermueller, Berkin Akin, Yanqi Zhou, Albin Jones, Milad Hashemi, Kevin Swersky, Satrajit Chatterjee, Ravi Narayanaswami, James Laudon

* 10 pages, 5 figures, Accepted to Workshop on ML for Systems at the 34th Conference on Neural Information Processing Systems (NeurIPS 2020) 

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Logic Synthesis Meets Machine Learning: Trading Exactness for Generalization


Dec 15, 2020
Shubham Rai, Walter Lau Neto, Yukio Miyasaka, Xinpei Zhang, Mingfei Yu, Qingyang Yi Masahiro Fujita, Guilherme B. Manske, Matheus F. Pontes, Leomar S. da Rosa Junior, Marilton S. de Aguiar, Paulo F. Butzen, Po-Chun Chien, Yu-Shan Huang, Hoa-Ren Wang, Jie-Hong R. Jiang, Jiaqi Gu, Zheng Zhao, Zixuan Jiang, David Z. Pan, Brunno A. de Abreu, Isac de Souza Campos, Augusto Berndt, Cristina Meinhardt, Jonata T. Carvalho, Mateus Grellert, Sergio Bampi, Aditya Lohana, Akash Kumar, Wei Zeng, Azadeh Davoodi, Rasit O. Topaloglu, Yuan Zhou, Jordan Dotzel, Yichi Zhang, Hanyu Wang, Zhiru Zhang, Valerio Tenace, Pierre-Emmanuel Gaillardon, Alan Mishchenko, Satrajit Chatterjee

* In this 23 page manuscript, we explore the connection between machine learning and logic synthesis which was the main goal for International Workshop on logic synthesis. It includes approaches applied by ten teams spanning 6 countries across the world 

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Logic Synthesis Meets Machine Learning:Trading Exactness for Generalization


Dec 04, 2020
Shubham Rai, Walter Lau Neto, Yukio Miyasaka, Xinpei Zhang, Mingfei Yu, Qingyang Yi Masahiro Fujita, Guilherme B. Manske, Matheus F. Pontes, Leomar S. da Rosa Junior, Marilton S. de Aguiar, Paulo F. Butzen, Po-Chun Chien, Yu-Shan Huang, Hoa-Ren Wang, Jie-Hong R. Jiang, Jiaqi Gu, Zheng Zhao, Zixuan Jiang, David Z. Pan, Brunno A. de Abreu, Isac de Souza Campos, Augusto Berndt, Cristina Meinhardt, Jonata T. Carvalho, Mateus Grellert, Sergio Bampi, Aditya Lohana, Akash Kumar, Wei Zeng, Azadeh Davoodi, Rasit O. Topaloglu, Yuan Zhou, Jordan Dotzel, Yichi Zhang, Hanyu Wang, Zhiru Zhang, Valerio Tenace, Pierre-Emmanuel Gaillardon, Alan Mishchenko, Satrajit Chatterjee

* In this 23 page manuscript, we explore the connection between machine learning and logic synthesis which was the main goal for International Workshop on logic synthesis. It includes approaches applied by ten teams spanning 6 countries across the world 

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Making Coherence Out of Nothing At All: Measuring the Evolution of Gradient Alignment


Aug 03, 2020
Satrajit Chatterjee, Piotr Zielinski


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Explaining Memorization and Generalization: A Large-Scale Study with Coherent Gradients


Mar 16, 2020
Piotr Zielinski, Shankar Krishnan, Satrajit Chatterjee


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Coherent Gradients: An Approach to Understanding Generalization in Gradient Descent-based Optimization


Feb 25, 2020
Satrajit Chatterjee

* To appear in ICLR 2020 

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