Machine Learning · Computer Science
MCNC: Manifold-Constrained Reparameterization for Neural Compression
Chayne Thrash, Ali Abbasi, Reed Andreas, Parsa Nooralinejad +3
2025-04-28
Dynamical Systems · Mathematics
Dimensionality Reduction of Complex Metastable Systems via Kernel Embeddings of Transition Manifolds
Andreas Bittracher, Stefan Klus, Boumediene Hamzi, Péter Koltai +1
2020-02-04
Optimization and Control · Mathematics
A Brief Introduction to Manifold Optimization
Jiang Hu, Xin Liu, Zaiwen Wen, Yaxiang Yuan
2019-06-14
Machine Learning · Computer Science
Pattern Search Multidimensional Scaling
Georgios Paraskevopoulos, Efthymios Tzinis, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Alexandros Potamianos
2019-11-01
Machine Learning · Statistics
Fast Mixing of Multi-Scale Langevin Dynamics under the Manifold Hypothesis
Adam Block, Youssef Mroueh, Alexander Rakhlin, Jerret Ross
2020-06-24
Optimization and Control · Mathematics
Considering Slow Manifold Based Model Reduction for Multiscale Chemical Optimal Control Problems
Marcus Heitel, Robin Verschueren, Moritz Diehl, Dirk Lebiedz
2019-07-03
Machine Learning · Computer Science
Mixture Manifold Networks: A Computationally Efficient Baseline for Inverse Modeling
Gregory P. Spell, Simiao Ren, Leslie M. Collins, Jordan M. Malof
2023-08-15
Machine Learning · Computer Science
Involutive MCMC: a Unifying Framework
Kirill Neklyudov, Max Welling, Evgenii Egorov, Dmitry Vetrov
2020-07-01