Marcel Nassar - RankMe

43 papers A* 1A 2B 3C 2Misc 5Journal 25Unranked 5

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis. CoRR Yan Wu, Esther Wershof, Sebastian M. Schmon, Marcel Nassar, Blazej Osinski, Ridvan Eksi, Kun Zhang, Thore Graepel
2023	A	`conf`	Exploiting Long-Term Dependencies for Generating Dynamic Scene Graphs. WACV Shengyu Feng, Hesham Mostafa, Marcel Nassar, Somdeb Majumdar, Subarna Tripathi
2023	A	`conf`	Generative Graph Augmentation for Minority Class in Fraud Detection. CIKM Lin Meng, Hesham Mostafa, Marcel Nassar, Xiaonan Zhang, Jiawei Zhang
2023	J	`jnl`	MatSciML: A Broad, Multi-Task Benchmark for Solid-State Materials Modeling. CoRR Kin Long Kelvin Lee, Carmelo Gonzales, Marcel Nassar, Matthew Spellings, Mikhail Galkin, Santiago Miret
2023	J	`jnl`	Pretraining Graph Neural Networks for Few-Shot Analog Circuit Modeling and Design. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Kourosh Hakhamaneshi, Marcel Nassar, Mariano Phielipp, Pieter Abbeel, Vladimir Stojanovic
2023	J	`jnl`	The Open MatSci ML Toolkit: A Flexible Framework for Machine Learning in Materials Science. Trans. Mach. Learn. Res. Santiago Miret, Kin Long Kelvin Lee, Carmelo Gonzales, Marcel Nassar, Matthew Spellings
2022	J	`jnl`	Pretraining Graph Neural Networks for few-shot Analog Circuit Modeling and Design. CoRR Kourosh Hakhamaneshi, Marcel Nassar, Mariano Phielipp, Pieter Abbeel, Vladimir Stojanovic
2022	—	`conf`	Technology Growth Ranking Using Temporal Graph Representation Learning. WWW (Companion Volume) Daniel Cummings, Ashrita Brahmaroutu, Marcel Nassar, Nesreen K. Ahmed
2022	J	`jnl`	The Open MatSci ML Toolkit: A Flexible Framework for Machine Learning in Materials Science. CoRR Santiago Miret, Kin Long Kelvin Lee, Carmelo Gonzales, Marcel Nassar, Matthew Spellings
2021	C	`conf`	Connection Management xAPP for O-RAN RIC: A Graph Neural Network and Reinforcement Learning Approach. ICMLA Oner Orhan, Vasuki Narasimha Swamy, Thomas Tetzlaff, Marcel Nassar, Hosein Nikopour, Shilpa Talwar
2021	J	`jnl`	Connection Management xAPP for O-RAN RIC: A Graph Neural Network and Reinforcement Learning Approach. CoRR Oner Orhan, Vasuki Narasimha Swamy, Thomas Tetzlaff, Marcel Nassar, Hosein Nikopour, Shilpa Talwar
2021	J	`jnl`	Exploiting Long-Term Dependencies for Generating Dynamic Scene Graphs. CoRR Shengyu Feng, Subarna Tripathi, Hesham Mostafa, Marcel Nassar, Somdeb Majumdar
2021	J	`jnl`	IAB Topology Design: A Graph Embedding and Deep Reinforcement Learning Approach. IEEE Commun. Lett. Meryem Simsek, Oner Orhan, Marcel Nassar, Oguz Elibol, Hosein Nikopour
2021	A*	`conf`	Implicit SVD for Graph Representation Learning. NeurIPS Sami Abu-El-Haija, Hesham Mostafa, Marcel Nassar, Valentino Crespi, Greg Ver Steeg, Aram Galstyan
2021	J	`jnl`	Implicit SVD for Graph Representation Learning. CoRR Sami Abu-El-Haija, Hesham Mostafa, Marcel Nassar, Valentino Crespi, Greg Ver Steeg, Aram Galstyan
2021	J	`jnl`	On Local Aggregation in Heterophilic Graphs. CoRR Hesham Mostafa, Marcel Nassar, Somdeb Majumdar
2021	J	`jnl`	Structured Citation Trend Prediction Using Graph Neural Networks. CoRR Daniel Cummings, Marcel Nassar
2020	J	`jnl`	Permutohedral-GCN: Graph Convolutional Networks with Global Attention. CoRR Hesham Mostafa, Marcel Nassar
2020	Misc	`conf`	Structured Citation Trend Prediction Using Graph Neural Networks. ICASSP Daniel Cummings, Marcel Nassar
2018	J	`jnl`	Conditional Graph Neural Processes: A Functional Autoencoder Approach. CoRR Marcel Nassar, Xin Wang, Evren Tumer
2018	C	`conf`	Flexpoint: Predictive Numerics for Deep Learning. ARITH Valentina Popescu, Marcel Nassar, Xin Wang, Evren Tumer, Tristania Webb
2018	J	`jnl`	Hierarchical Bipartite Graph Convolution Networks. CoRR Marcel Nassar
2017	—	`conf`	Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep Neural Networks. NIPS 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
2017	J	`jnl`	Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep Neural Networks. CoRR 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
2014	J	`jnl`	A Factor Graph Approach to Joint OFDM Channel Estimation and Decoding in Impulsive Noise Environments. IEEE Trans. Signal Process. Marcel Nassar, Philip Schniter, Brian L. Evans
2013	J	`jnl`	A Factor Graph Approach to Joint OFDM Channel Estimation and Decoding in Impulsive Noise Environments. CoRR Marcel Nassar, Philip Schniter, Brian L. Evans
2013	Misc	`conf`	A factor-graph approach to joint OFDM channel estimation and decoding in impulsive noise channels. ACSSC Marcel Nassar, Phil Schniter, Brian L. Evans
2013	J	`jnl`	Bayesian Active Learning for Drug Combinations. IEEE Trans. Biomed. Eng. Mijung Park, Marcel Nassar, Haris Vikalo
2013	Misc	`conf`	FPGA implementation of a message-passing OFDM receiver for impulsive noise channels. ACSSC Karl F. Nieman, Marcel Nassar, Jing Lin, Brian L. Evans
2013	J	`jnl`	Impulsive Noise Mitigation in Powerline Communications Using Sparse Bayesian Learning CoRR Jing Lin, Marcel Nassar, Brian L. Evans
2013	J	`jnl`	Impulsive Noise Mitigation in Powerline Communications Using Sparse Bayesian Learning. IEEE J. Sel. Areas Commun. Jing Lin, Marcel Nassar, Brian L. Evans
2012	J	`jnl`	Active Bayesian Optimization: Minimizing Minimizer Entropy CoRR Il Memming Park, Marcel Nassar, Mijung Park
2012	—	`conf`	Adaptive experimental design for drug combinations. SSP Mijung Park, Marcel Nassar, Brian L. Evans, Haris Vikalo
2012	Misc	`conf`	Cyclostationary noise modeling in narrowband powerline communication for Smart Grid applications. ICASSP Marcel Nassar, Anand Dabak, Il Han Kim, Tarkesh Pande, Brian L. Evans
2012	J	`jnl`	Local Utility Power Line Communications in the 3-500 kHz Band: Channel Impairments, Noise, and Standards. IEEE Signal Process. Mag. Marcel Nassar, Jing Lin, Yousof Mortazavi, Anand G. Dabak, Il Han Kim, Brian L. Evans
2011	J	`jnl`	A multiorganism based method for Bayesian gene network estimation. Biosyst. Zaher Dawy, Elias Yaacoub, Marcel Nassar, Rami Abdallah, Hady Ali Zeineddine
2011	—	`conf`	Low complexity EM-based decoding for OFDM systems with impulsive noise. ACSCC Marcel Nassar, Brian L. Evans
2011	J	`jnl`	Mitigating Near-field Interference in Laptop Embedded Wireless Transceivers. J. Signal Process. Syst. Marcel Nassar, Kapil Gulati, Marcus R. DeYoung, Brian L. Evans, Keith R. Tinsley
2011	B	`conf`	Non-Parametric Impulsive Noise Mitigation in OFDM Systems Using Sparse Bayesian Learning. GLOBECOM Jing Lin, Marcel Nassar, Brian L. Evans
2011	B	`conf`	Statistical Modeling of Asynchronous Impulsive Noise in Powerline Communication Networks. GLOBECOM Marcel Nassar, Kapil Gulati, Yousof Mortazavi, Brian L. Evans
2011	—	`conf`	Stochastic Modeling of Microwave Oven Interference in WLANs. ICC Marcel Nassar, Xintian Eddie Lin, Brian L. Evans
2008	B	`conf`	A new multitask learning method for multiorganism gene network estimation. ISIT Marcel Nassar, Rami Abdallah, Hady Ali Zeineddine, Elias Yaacoub, Zaher Dawy
2008	Misc	`conf`	Mitigating near-field interference in laptop embedded wireless transceivers. ICASSP Marcel Nassar, Kapil Gulati, Arvind K. Sujeeth, Navid Aghasadeghi, Brian L. Evans, Keith R. Tinsley