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Marcel Nassar
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2020 – today
- 2024
- [i16]Yan Wu, Esther Wershof, Sebastian M. Schmon, Marcel Nassar, Blazej Osinski, Ridvan Eksi, Kun Zhang, Thore Graepel:
PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis. CoRR abs/2408.10609 (2024) - 2023
- [j9]Kourosh Hakhamaneshi
, Marcel Nassar, Mariano Phielipp, Pieter Abbeel, Vladimir Stojanovic
Pretraining Graph Neural Networks for Few-Shot Analog Circuit Modeling and Design. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(7): 2163-2173 (2023) - [j8]Santiago Miret, Kin Long Kelvin Lee, Carmelo Gonzales, Marcel Nassar, Matthew Spellings:
The Open MatSci ML Toolkit: A Flexible Framework for Machine Learning in Materials Science. Trans. Mach. Learn. Res. 2023 (2023) - [c18]Lin Meng
Generative Graph Augmentation for Minority Class in Fraud Detection. CIKM 2023: 4200-4204 - [c17]Shengyu Feng, Hesham Mostafa, Marcel Nassar, Somdeb Majumdar, Subarna Tripathi:
Exploiting Long-Term Dependencies for Generating Dynamic Scene Graphs. WACV 2023: 5119-5128 - [i15]Kin Long Kelvin Lee, Carmelo Gonzales, Marcel Nassar, Matthew Spellings, Mikhail Galkin, Santiago Miret:
MatSciML: A Broad, Multi-Task Benchmark for Solid-State Materials Modeling. CoRR abs/2309.05934 (2023) - 2022
- [c16]Daniel Cummings, Ashrita Brahmaroutu, Marcel Nassar, Nesreen K. Ahmed
Technology Growth Ranking Using Temporal Graph Representation Learning. WWW (Companion Volume) 2022: 290-293 - [i14]Kourosh Hakhamaneshi, Marcel Nassar, Mariano Phielipp, Pieter Abbeel, Vladimir Stojanovic:
Pretraining Graph Neural Networks for few-shot Analog Circuit Modeling and Design. CoRR abs/2203.15913 (2022) - [i13]Santiago Miret, Kin Long Kelvin Lee, Carmelo Gonzales, Marcel Nassar, Matthew Spellings:
The Open MatSci ML Toolkit: A Flexible Framework for Machine Learning in Materials Science. CoRR abs/2210.17484 (2022) - 2021
- [j7]Meryem Simsek
IAB Topology Design: A Graph Embedding and Deep Reinforcement Learning Approach. IEEE Commun. Lett. 25(2): 489-493 (2021) - [c15]Oner Orhan, Vasuki Narasimha Swamy, Thomas Tetzlaff, Marcel Nassar, Hosein Nikopour, Shilpa Talwar:
Connection Management xAPP for O-RAN RIC: A Graph Neural Network and Reinforcement Learning Approach. ICMLA 2021: 936-941 - [c14]Sami Abu-El-Haija, Hesham Mostafa, Marcel Nassar, Valentino Crespi, Greg Ver Steeg, Aram Galstyan:
Implicit SVD for Graph Representation Learning. NeurIPS 2021: 8419-8431 - [i12]Daniel Cummings, Marcel Nassar:
Structured Citation Trend Prediction Using Graph Neural Networks. CoRR abs/2104.02562 (2021) - [i11]Hesham Mostafa, Marcel Nassar, Somdeb Majumdar:
On Local Aggregation in Heterophilic Graphs. CoRR abs/2106.03213 (2021) - [i10]Oner Orhan, Vasuki Narasimha Swamy, Thomas Tetzlaff, Marcel Nassar, Hosein Nikopour, Shilpa Talwar:
Connection Management xAPP for O-RAN RIC: A Graph Neural Network and Reinforcement Learning Approach. CoRR abs/2110.07525 (2021) - [i9]Sami Abu-El-Haija, Hesham Mostafa, Marcel Nassar, Valentino Crespi, Greg Ver Steeg, Aram Galstyan:
Implicit SVD for Graph Representation Learning. CoRR abs/2111.06312 (2021) - [i8]Shengyu Feng, Subarna Tripathi, Hesham Mostafa, Marcel Nassar, Somdeb Majumdar:
Exploiting Long-Term Dependencies for Generating Dynamic Scene Graphs. CoRR abs/2112.09828 (2021) - 2020
- [c13]Daniel Cummings, Marcel Nassar:
Structured Citation Trend Prediction Using Graph Neural Networks. ICASSP 2020: 3897-3901 - [i7]Hesham Mostafa, Marcel Nassar:
Permutohedral-GCN: Graph Convolutional Networks with Global Attention. CoRR abs/2003.00635 (2020)
2010 – 2019
- 2018
- [c12]Valentina Popescu, Marcel Nassar, Xin Wang, Evren Tumer, Tristania Webb:
Flexpoint: Predictive Numerics for Deep Learning. ARITH 2018: 1-4 - [i6]Marcel Nassar:
Hierarchical Bipartite Graph Convolution Networks. CoRR abs/1812.03813 (2018) - [i5]Marcel Nassar, Xin Wang, Evren Tumer:
Conditional Graph Neural Processes: A Functional Autoencoder Approach. CoRR abs/1812.05212 (2018) - 2017
- [c11]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:
Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep Neural Networks. NIPS 2017: 1742-1752 - [i4]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:
Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep Neural Networks. CoRR abs/1711.02213 (2017) - 2014
- [j6]Marcel Nassar, Philip Schniter
A Factor Graph Approach to Joint OFDM Channel Estimation and Decoding in Impulsive Noise Environments. IEEE Trans. Signal Process. 62(6): 1576-1589 (2014) - 2013
- [j5]Jing Lin, Marcel Nassar, Brian L. Evans:
Impulsive Noise Mitigation in Powerline Communications Using Sparse Bayesian Learning. IEEE J. Sel. Areas Commun. 31(7): 1172-1183 (2013) - [j4]Mijung Park, Marcel Nassar, Haris Vikalo:
Bayesian Active Learning for Drug Combinations. IEEE Trans. Biomed. Eng. 60(11): 3248-3255 (2013) - [c10]Marcel Nassar, Phil Schniter, Brian L. Evans:
A factor-graph approach to joint OFDM channel estimation and decoding in impulsive noise channels. ACSSC 2013: 1929-1933 - [c9]Karl F. Nieman, Marcel Nassar, Jing Lin, Brian L. Evans:
FPGA implementation of a message-passing OFDM receiver for impulsive noise channels. ACSSC 2013: 2041-2045 - [i3]Jing Lin, Marcel Nassar, Brian L. Evans:
Impulsive Noise Mitigation in Powerline Communications Using Sparse Bayesian Learning. CoRR abs/1303.1217 (2013) - [i2]Marcel Nassar, Philip Schniter, Brian L. Evans:
A Factor Graph Approach to Joint OFDM Channel Estimation and Decoding in Impulsive Noise Environments. CoRR abs/1306.1851 (2013) - 2012
- [j3]Marcel Nassar, Jing Lin, Yousof Mortazavi, Anand G. Dabak, Il Han Kim, Brian L. Evans:
Local Utility Power Line Communications in the 3-500 kHz Band: Channel Impairments, Noise, and Standards. IEEE Signal Process. Mag. 29(5): 116-127 (2012) - [c8]Marcel Nassar, Anand Dabak, Il Han Kim, Tarkesh Pande, Brian L. Evans:
Cyclostationary noise modeling in narrowband powerline communication for Smart Grid applications. ICASSP 2012: 3089-3092 - [c7]Mijung Park, Marcel Nassar, Brian L. Evans, Haris Vikalo:
Adaptive experimental design for drug combinations. SSP 2012: 712-715 - [i1]Il Memming Park, Marcel Nassar, Mijung Park:
Active Bayesian Optimization: Minimizing Minimizer Entropy. CoRR abs/1202.2143 (2012) - 2011
- [j2]Zaher Dawy, Elias Yaacoub
A multiorganism based method for Bayesian gene network estimation. Biosyst. 103(3): 425-434 (2011) - [j1]Marcel Nassar, Kapil Gulati, Marcus R. DeYoung, Brian L. Evans, Keith R. Tinsley:
Mitigating Near-field Interference in Laptop Embedded Wireless Transceivers. J. Signal Process. Syst. 63(1): 1-12 (2011) - [c6]Marcel Nassar, Brian L. Evans:
Low complexity EM-based decoding for OFDM systems with impulsive noise. ACSCC 2011: 1943-1947 - [c5]Jing Lin, Marcel Nassar, Brian L. Evans:
Non-Parametric Impulsive Noise Mitigation in OFDM Systems Using Sparse Bayesian Learning. GLOBECOM 2011: 1-5 - [c4]Marcel Nassar, Kapil Gulati, Yousof Mortazavi, Brian L. Evans:
Statistical Modeling of Asynchronous Impulsive Noise in Powerline Communication Networks. GLOBECOM 2011: 1-6 - [c3]Marcel Nassar, Xintian Eddie Lin, Brian L. Evans:
Stochastic Modeling of Microwave Oven Interference in WLANs. ICC 2011: 1-6
2000 – 2009
- 2008
- [c2]Marcel Nassar, Kapil Gulati, Arvind K. Sujeeth, Navid Aghasadeghi, Brian L. Evans, Keith R. Tinsley:
Mitigating near-field interference in laptop embedded wireless transceivers. ICASSP 2008: 1405-1408 - [c1]Marcel Nassar, Rami Abdallah, Hady Ali Zeineddine, Elias Yaacoub
A new multitask learning method for multiorganism gene network estimation. ISIT 2008: 2287-2291
Coauthor Index
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