Marcel Nassar

According to our database, Marcel Nassar authored at least 34 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis.

Yan Wu, Esther Wershof, Sebastian M. Schmon, Marcel Nassar, Blazej Osinski, Ridvan Eksi, Kun Zhang, Thore Graepel

CoRR, 2024

2023

Pretraining Graph Neural Networks for Few-Shot Analog Circuit Modeling and Design.

Kourosh Hakhamaneshi, Marcel Nassar, Mariano Phielipp, Pieter Abbeel, Vladimir Stojanovic

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., July, 2023

The Open MatSci ML Toolkit: A Flexible Framework for Machine Learning in Materials Science.

Santiago Miret, Kin Long Kelvin Lee, Carmelo Gonzales, Marcel Nassar, Matthew Spellings

Trans. Mach. Learn. Res., 2023

MatSciML: A Broad, Multi-Task Benchmark for Solid-State Materials Modeling.

Kin Long Kelvin Lee, Carmelo Gonzales, Marcel Nassar, Matthew Spellings, Mikhail Galkin, Santiago Miret

CoRR, 2023

Exploiting Long-Term Dependencies for Generating Dynamic Scene Graphs.

Shengyu Feng, Hesham Mostafa, Marcel Nassar, Somdeb Majumdar, Subarna Tripathi

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Generative Graph Augmentation for Minority Class in Fraud Detection.

Lin Meng, Hesham Mostafa, Marcel Nassar, Xiaonan Zhang, Jiawei Zhang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Technology Growth Ranking Using Temporal Graph Representation Learning.

Daniel Cummings, Ashrita Brahmaroutu, Marcel Nassar, Nesreen K. Ahmed

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

2021

IAB Topology Design: A Graph Embedding and Deep Reinforcement Learning Approach.

Meryem Simsek, Oner Orhan, Marcel Nassar, Oguz Elibol, Hosein Nikopour

IEEE Commun. Lett., 2021

On Local Aggregation in Heterophilic Graphs.

Hesham Mostafa, Marcel Nassar, Somdeb Majumdar

CoRR, 2021

Implicit SVD for Graph Representation Learning.

Sami Abu-El-Haija, Hesham Mostafa, Marcel Nassar, Valentino Crespi, Greg Ver Steeg, Aram Galstyan

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Connection Management xAPP for O-RAN RIC: A Graph Neural Network and Reinforcement Learning Approach.

Oner Orhan, Vasuki Narasimha Swamy, Thomas Tetzlaff, Marcel Nassar, Hosein Nikopour, Shilpa Talwar

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

2020

Permutohedral-GCN: Graph Convolutional Networks with Global Attention.

Hesham Mostafa, Marcel Nassar

CoRR, 2020

Structured Citation Trend Prediction Using Graph Neural Networks.

Daniel Cummings, Marcel Nassar

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2018

Conditional Graph Neural Processes: A Functional Autoencoder Approach.

Marcel Nassar, Xin Wang, Evren Tumer

CoRR, 2018

Hierarchical Bipartite Graph Convolution Networks.

Marcel Nassar

CoRR, 2018

Flexpoint: Predictive Numerics for Deep Learning.

Valentina Popescu, Marcel Nassar, Xin Wang, Evren Tumer, Tristania Webb

Proceedings of the 25th IEEE Symposium on Computer Arithmetic, 2018

2017

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

Urs Köster, Tristan Webb, Xin Wang, Marcel Nassar, Arjun K. Bansal, William Constable, Oguz Elibol, Stewart Hall, Luke Hornof, Amir Khosrowshahi, Carey Kloss, Ruby J. Pai, Naveen Rao

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2014

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

Marcel Nassar, Philip Schniter, Brian L. Evans

IEEE Trans. Signal Process., 2014

2013

Bayesian Active Learning for Drug Combinations.

Mijung Park, Marcel Nassar, Haris Vikalo

IEEE Trans. Biomed. Eng., 2013

Impulsive Noise Mitigation in Powerline Communications Using Sparse Bayesian Learning.

Jing Lin, Marcel Nassar, Brian L. Evans

IEEE J. Sel. Areas Commun., 2013

FPGA implementation of a message-passing OFDM receiver for impulsive noise channels.

Karl F. Nieman, Marcel Nassar, Jing Lin, Brian L. Evans

Proceedings of the 2013 Asilomar Conference on Signals, 2013

A factor-graph approach to joint OFDM channel estimation and decoding in impulsive noise channels.

Marcel Nassar, Phil Schniter, Brian L. Evans

Proceedings of the 2013 Asilomar Conference on Signals, 2013

2012

Local Utility Power Line Communications in the 3-500 kHz Band: Channel Impairments, Noise, and Standards.

Marcel Nassar, Jing Lin, Yousof Mortazavi, Anand G. Dabak, Il Han Kim, Brian L. Evans

IEEE Signal Process. Mag., 2012

Active Bayesian Optimization: Minimizing Minimizer Entropy

Il Memming Park, Marcel Nassar, Mijung Park

CoRR, 2012

Adaptive experimental design for drug combinations.

Mijung Park, Marcel Nassar, Brian L. Evans, Haris Vikalo

Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Cyclostationary noise modeling in narrowband powerline communication for Smart Grid applications.

Marcel Nassar, Anand Dabak, Il Han Kim, Tarkesh Pande, Brian L. Evans

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011

Mitigating Near-field Interference in Laptop Embedded Wireless Transceivers.

Marcel Nassar, Kapil Gulati, Marcus R. DeYoung, Brian L. Evans, Keith R. Tinsley

J. Signal Process. Syst., 2011

A multiorganism based method for Bayesian gene network estimation.

Zaher Dawy, Elias Yaacoub, Marcel Nassar, Rami Abdallah, Hady Ali Zeineddine

Biosyst., 2011

Stochastic Modeling of Microwave Oven Interference in WLANs.

Marcel Nassar, Xintian Eddie Lin, Brian L. Evans

Proceedings of IEEE International Conference on Communications, 2011

Statistical Modeling of Asynchronous Impulsive Noise in Powerline Communication Networks.

Marcel Nassar, Kapil Gulati, Yousof Mortazavi, Brian L. Evans

Proceedings of the Global Communications Conference, 2011

Non-Parametric Impulsive Noise Mitigation in OFDM Systems Using Sparse Bayesian Learning.

Jing Lin, Marcel Nassar, Brian L. Evans

Proceedings of the Global Communications Conference, 2011

Low complexity EM-based decoding for OFDM systems with impulsive noise.

Marcel Nassar, Brian L. Evans

Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2008

A new multitask learning method for multiorganism gene network estimation.

Marcel Nassar, Rami Abdallah, Hady Ali Zeineddine, Elias Yaacoub, Zaher Dawy

Proceedings of the 2008 IEEE International Symposium on Information Theory, 2008

Mitigating near-field interference in laptop embedded wireless transceivers.

Marcel Nassar, Kapil Gulati, Arvind K. Sujeeth, Navid Aghasadeghi, Brian L. Evans, Keith R. Tinsley

Proceedings of the IEEE International Conference on Acoustics, 2008