GPU-based asynchronous particle swarm optimization. - Luca Mussi; Youssef S. G. Nashed; Stefano Cagnoni (GECCO, 2011)

First results and future developments of the MIBISOC Project in the IBISlab of the university of parma. - Stefano Cagnoni; Oscar Cordón; Pablo Mesejo; Youssef S. G. Nashed; Roberto Ugolotti (GECCO (Companion), 2012)

libCudaOptimize: an open source library of GPU-based metaheuristics. - Youssef S. G. Nashed; Roberto Ugolotti; Pablo Mesejo; Stefano Cagnoni (GECCO (Companion), 2012)

GPU Hierarchical Quilted Self Organizing Maps for Multimedia Understanding. - Youssef S. G. Nashed (ISM, 2012)

A Comparative Study of Three GPU-Based Metaheuristics. - Youssef S. G. Nashed; Pablo Mesejo; Roberto Ugolotti; Jérémie Dubois-Lacoste; Stefano Cagnoni (PPSN (2), 2012)

Real-Time GPU Based Road Sign Detection and Classification. - Roberto Ugolotti; Youssef S. G. Nashed; Stefano Cagnoni (PPSN (1), 2012)

Multi-View Human Body Pose Estimation with CUDA-PSO. - Luca Mussi; Spela Ivekovic; Youssef S. G. Nashed; Stefano Cagnoni (Int. J. Adapt. Resilient Auton. Syst., 2012)

Texture Classification of Proteins Using Support Vector Machines and Bio-inspired Metaheuristics. - Carlos Fernandez-Lozano; José A. Seoane; Pablo Mesejo; Youssef S. G. Nashed; Stefano Cagnoni; Julián Dorado (BIOSTEC (Selected Papers), 2013)

2D-PAGE Texture Classification using Support Vector Machines and Genetic Algorithms - An Hybrid Approach for Texture Image Analysis. - Carlos Fernandez-Lozano; José A. Seoane; Pablo Mesejo; Youssef S. G. Nashed; Stefano Cagnoni; Julián Dorado (BIOINFORMATICS, 2013)

GPU-Based Automatic Configuration of Differential Evolution: A Case Study. - Roberto Ugolotti; Pablo Mesejo; Youssef S. G. Nashed; Stefano Cagnoni (EPIA, 2013)

Algorithm configuration using GPU-based metaheuristics. - Roberto Ugolotti; Youssef S. G. Nashed; Pablo Mesejo; Stefano Cagnoni (GECCO (Companion), 2013)

Gesturing at Subswarms: Towards Direct Human Control of Robot Swarms. - Gaëtan Podevijn; Rehan O'Grady; Youssef S. G. Nashed; Marco Dorigo (TAROS, 2013)

Particle Swarm Optimization and Differential Evolution for model-based object detection. - Roberto Ugolotti; Youssef S. G. Nashed; Pablo Mesejo; Spela Ivekovic; Luca Mussi; Stefano Cagnoni (Appl. Soft Comput., 2013)

Distributed Automatic Differentiation for Ptychography. - Youssef S. G. Nashed; Tom Peterka; Junjing Deng; Chris Jacobsen (ICCS, 2017)

ADP: Automatic differentiation ptychography. - Sushobhan Ghosh; Youssef S. G. Nashed; Oliver Cossairt; Aggelos K. Katsaggelos (ICCP, 2018)

Foundations of Multivariate Functional Approximation for Scientific Data. - Tom Peterka; Youssef S. G. Nashed; Iulian R. Grindeanu; Vijay S. Mahadevan; Raine Yeh; Xavier Tricoche (LDAV, 2018)

Real-time coherent diffraction inversion using deep generative networks. - Mathew J. Cherukara; Youssef S. G. Nashed; Ross J. Harder (CoRR, 2018)

Scalable, High-Order Continuity Across Block Boundaries of Functional Approximations Computed in Parallel. - Iulian R. Grindeanu; Tom Peterka; Vijay S. Mahadevan; Youssef S. G. Nashed (CLUSTER, 2019)

Rational Approximation of Scientific Data. - Youssef S. G. Nashed; Tom Peterka; Vijay Mahadevan; Iulian R. Grindeanu (ICCS (1), 2019)

Fast Automatic Knot Placement Method for Accurate B-spline Curve Fitting. - Raine Yeh; Youssef S. G. Nashed; Tom Peterka; Xavier Tricoche (Comput. Aided Des., 2020)

Real-time sparse-sampled Ptychographic imaging through deep neural networks. - Mathew J. Cherukara; Tao Zhou; Youssef S. G. Nashed; Pablo Enfedaque; Alex Hexemer; Ross J. Harder; Martin V. Holt (CoRR, 2020)

Real-time 3D Nanoscale Coherent Imaging via Physics-aware Deep Learning. - Henry Chan; Youssef S. G. Nashed; Saugat Kandel; Stephan Hruszkewycz; Subramanian Sankaranarayanan; Ross J. Harder; Mathew J. Cherukara (CoRR, 2020)

InSituNet: Deep Image Synthesis for Parameter Space Exploration of Ensemble Simulations. - Wenbin He; Junpeng Wang 001; Hanqi Guo 001; Ko-Chih Wang; Han-Wei Shen; Mukund Raj; Youssef S. G. Nashed; Tom Peterka (IEEE Trans. Vis. Comput. Graph., 2020)

CryoPoseNet: End-to-End Simultaneous Learning of Single-particle Orientation and 3D Map Reconstruction from Cryo-electron Microscopy Data. - Youssef S. G. Nashed; Frédéric Poitevin; Harshit Gupta; Geoffrey Woollard; Michael Kagan; Chun Hong Yoon; Daniel Ratner (ICCVW, 2021)

End-to-End Simultaneous Learning of Single-particle Orientation and 3D Map Reconstruction from Cryo-electron Microscopy Data. - Youssef S. G. Nashed; Frédéric Poitevin; Harshit Gupta; Geoffrey Woollard; Michael Kagan; Chuck Yoon; Daniel Ratner (CoRR, 2021)

CryoAI: Amortized Inference of Poses for Ab Initio Reconstruction of 3D Molecular Volumes from Real Cryo-EM Images. - Axel Levy; Frédéric Poitevin; Julien N. P. Martel; Youssef S. G. Nashed; Ariana Peck; Nina Miolane; Daniel Ratner; Mike Dunne; Gordon Wetzstein (ECCV (21), 2022)

Heterogeneous reconstruction of deformable atomic models in Cryo-EM. - Youssef S. G. Nashed; Ariana Peck; Julien N. P. Martel; Axel Levy; Bongjin Koo; Gordon Wetzstein; Nina Miolane; Daniel Ratner; Frédéric Poitevin (CoRR, 2022)

Implicit Neural Representation as a Differentiable Surrogate for Photon Propagation in a Monolithic Neutrino Detector. - Minjie Lei; Ka Vang Tsang; Sean Gasiorowski; Chuan Li; Youssef S. G. Nashed; Gianluca Petrillo; Olivia Piazza; Daniel Ratner; Kazuhiro Terao (CoRR, 2022)

Differentiable simulation of a liquid argon time projection chamber. - Sean Gasiorowski; Yifan Chen; Youssef S. G. Nashed; Pierre Granger; Camelia Mironov; Ka Vang Tsang; Daniel Ratner; Kazuhiro Terao (Mach. Learn. Sci. Technol., 2024)