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On Local Aggregation in Heterophilic Graphs


Jun 06, 2021
Hesham Mostafa, Marcel Nassar, Somdeb Majumdar


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Structured Citation Trend Prediction Using Graph Neural Networks


Apr 06, 2021
Daniel Cummings, Marcel Nassar

* Appeared in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2020. 5 pages, 5 figures 

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Permutohedral-GCN: Graph Convolutional Networks with Global Attention


Mar 02, 2020
Hesham Mostafa, Marcel Nassar


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Hierarchical Bipartite Graph Convolution Networks


Dec 13, 2018
Marcel Nassar

* Appeared in the Workshop on Relational Representation Learning (R2L) at NIPS 2018. 5 pages, 2 figures 

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Conditional Graph Neural Processes: A Functional Autoencoder Approach


Dec 13, 2018
Marcel Nassar, Xin Wang, Evren Tumer

* 3 pages, 1 figure, 1 table, published in the Third Workshop on Bayesian Deep Learning (NeurIPS 2018), Montr\'eal, Canada 

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Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep Neural Networks


Dec 02, 2017
Urs Köster, Tristan J. Webb, Xin Wang, Marcel Nassar, Arjun K. Bansal, William H. Constable, Oğuz H. Elibol, Scott Gray, Stewart Hall, Luke Hornof, Amir Khosrowshahi, Carey Kloss, Ruby J. Pai, Naveen Rao

* 14 pages, 5 figures, accepted in Neural Information Processing Systems 2017 

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A Factor Graph Approach to Joint OFDM Channel Estimation and Decoding in Impulsive Noise Environments


Jun 07, 2013
Marcel Nassar, Philip Schniter, Brian L. Evans

* 13 pages, 9 figures, submitted to IEEE Transactions on Signal Processing 

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Impulsive Noise Mitigation in Powerline Communications Using Sparse Bayesian Learning


Mar 05, 2013
Jing Lin, Marcel Nassar, Brian L. Evans

* To appear in IEEE Journal on Selected Areas of Communications 

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Active Bayesian Optimization: Minimizing Minimizer Entropy


Feb 09, 2012
Il Memming Park, Marcel Nassar, Mijung Park


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