Papers matching “compressed representations” 60
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Benchmarking Wireless Representations: High-Dimensional vs. Compressed Embeddings for Efficiency and Robustness2026 arXiv (Cornell University) preprint Engineering Millimeter-Wave Propagation and Modeling Open access
Murilo Batista, Shirin Salehi, Saeed Mashdour, Paul Zheng, Rodrigo C. de Lamare, Anke Schmeink
0citations -
Point2FFD: Learning Shape Representations of Simulation-Ready 3D Models for Engineering Design Optimization2021 International Conference on 3D Vision (3DV) conference-paper Engineering 3D Shape Modeling and Analysis Open access
Thiago Rios, Bas van Stein, Thomas Bäck, Bernhard Sendhoff, Stefan Menzel
8citations -
Implicit Neural Representation in Medical Imaging: A Comparative Survey2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) conference-paper Engineering 3D Shape Modeling and Analysis
Amirali Molaei, Amirhossein Aminimehr, Amirhossein Kazerouni, Bobby Azad, Reza Azad, Dorit Merhof
122citations -
3D Point Cloud Compression with Recurrent Neural Network and Image Compression Methods2022 IEEE Intelligent Vehicles Symposium conference-paper Computer Science Advanced Data Compression Techniques Open access
Till Beemelmanns, Yuchen Tao, Bastian Lampe, Lennart Reiher, Raphael van Kempen, Timo Woopen, +1 more
11citations -
Advecting Superspecies: Efficiently Modeling Transport of Organic Aerosol With a Mass‐Conserving Dimensionality Reduction Method2023 Journal of Advances in Modeling Earth Systems article Earth and Planetary Sciences Atmospheric chemistry and aerosols Open access
Patrick Obin Sturm, Astrid Manders, Ruud H. H. Janssen, Arjo J. Segers, Anthony S. Wexler, Hai Xiang Lin
9citations -
Computing f‐divergences and distances of high‐dimensional probability density functions2022 Numerical Linear Algebra with Applications article Mathematics Tensor decomposition and applications Open access
Alexander Litvinenko, Youssef Marzouk, Hermann Georg Matthies, Marco Scavino, Alessio Spantini
5citations -
Exploiting Generative Models for Performance Predictions of 3D Car Designs2021 IEEE Symposium Series on Computational Intelligence (SSCI) conference-paper Engineering 3D Shape Modeling and Analysis Open access cited by 3 patents
Sneha Saha, Thiago Rios, Leandro Lei Minku, Bas van Stein, Patricia Wollstadt, Xin Yao, +3 more
11citations -
Exploiting Local Geometric Features in Vehicle Design Optimization with 3D Point Cloud Autoencoders2021 IEEE Congress on Evolutionary Computation (CEC) conference-paper Engineering 3D Shape Modeling and Analysis
Thiago Rios, Bas van Stein, Patricia Wollstadt, Thomas Bäck, Bernhard Sendhoff, Stefan Menzel
13citations -
ZipGAN: Super-Resolution-based Generative Adversarial Network Framework for Data Compression of Direct Numerical Simulations2024 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access
Ludovico Nista, Christoph Schumann, Fabian Fröde, Mohamed Gowely, Temistocle Grenga, Jonathan F. MacArt, +2 more
0citations