Publications | Research

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Algorithms and Numerical Methods
Artificial Intelligence and Machine Learning

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2019

DREAMPlace: Deep Learning Toolkit-Enabled GPU Acceleration for Modern VLSI Placement

Yibo Lin, Shounak Dhar, Wuxi Li, Mark Haoxing Ren, Brucek Khailany, David Z. Pan

DAC 2019 Best Paper Award

Rethinking full connectivity in recurrent neural networks

Matthijs Van keirsbilck, Alex Keller, Xiaodong Yang

2018

Machine Learning and Rendering

Alex Keller, Jaroslav Křivánek, Jan Novák, Anton Kaplanyan, Marco Salvi

2017

Parallel Complexity of Forward and Backward Propagation

Maxim Naumov

Integral Equations and Machine Learning

Alex Keller, Ken Dahm

AdaBatch: Adaptive Batch Sizes for Training Deep Neural Networks

Aditya Devarakonda, Maxim Naumov, Michael Garland

Parallel Jaccard and Related Graph Clustering Techniques

Alexandre Fender, Nahid Emad, Serge Petiton, Joe Eaton, Maxim Naumov

Parallel Modularity Clustering

Alexandre Fender, Nahid Emad, Serge Petiton, Maxim Naumov

2016

Parallel Spectral Graph Partitioning

Maxim Naumov, Timothy Moon