Emanuel Laude

25 papers A* 4A 2Journal 15Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Global convergence analysis of the power proximal point and augmented Lagrangian method.
Comput. Optim. Appl.
Konstantinos A. Oikonomidis, Alexander Bodard, Emanuel Laude, Panagiotis Patrinos
2025 J jnl
Anisotropic proximal gradient.
Math. Program.
Emanuel Laude, Panagiotis Patrinos
2025 J jnl
ConStellaration: A dataset of QI-like stellarator plasma boundaries and optimization benchmarks.
CoRR
Santiago A. Cadena, Andrea Merlo, Emanuel Laude, Alexander Bauer, Atul Agrawal, Maria Pascu, Marija Savtchouk, Enrico Guiraud, Lukas Bonauer, Stuart Hudson, Markus Kaiser
2025 A* conf
Nonlinearly Preconditioned Gradient Methods under Generalized Smoothness.
ICML
Konstantinos A. Oikonomidis, Jan Quan, Emanuel Laude, Panagiotis Patrinos
2025 J jnl
The inexact power augmented Lagrangian method for constrained nonconvex optimization.
Trans. Mach. Learn. Res.
Alexander Bodard, Konstantinos A. Oikonomidis, Emanuel Laude, Panagiotis Patrinos
2024 A* conf
Adaptive Proximal Gradient Methods Are Universal Without Approximation.
ICML
Konstantinos A. Oikonomidis, Emanuel Laude, Puya Latafat, Andreas Themelis, Panagiotis Patrinos
2024 J jnl
Adaptive proximal gradient methods are universal without approximation.
CoRR
Konstantinos A. Oikonomidis, Emanuel Laude, Puya Latafat, Andreas Themelis, Panagiotis Patrinos
2024 — conf
Convex Relaxations for Manifold-Valued Markov Random Fields with Approximation Guarantees.
ECCV (87)
Robin Kenis, Emanuel Laude, Panagiotis Patrinos
2024 J jnl
The inexact power augmented Lagrangian method for constrained nonconvex optimization.
CoRR
Alexander Bodard, Konstantinos A. Oikonomidis, Emanuel Laude, Panagiotis Patrinos
2023 J jnl
Dualities for Non-Euclidean Smoothness and Strong Convexity under the Light of Generalized Conjugacy.
SIAM J. Optim.
Emanuel Laude, Andreas Themelis, Panagiotis Patrinos
2022 J jnl
Lifting the Convex Conjugate in Lagrangian Relaxations: A Tractable Approach for Continuous Markov Random Fields.
SIAM J. Imaging Sci.
Hartmut Bauermeister, Emanuel Laude, Thomas Möllenhoff, Michael Möller, Daniel Cremers
2021 — conf
Bregman Proximal Gradient Algorithms for Deep Matrix Factorization.
SSVM
Mahesh Chandra Mukkamala, Felix Westerkamp, Emanuel Laude, Daniel Cremers, Peter Ochs
2021 J jnl
Lifting the Convex Conjugate in Lagrangian Relaxations: A Tractable Approach for Continuous Markov Random Fields.
CoRR
Hartmut Bauermeister, Emanuel Laude, Thomas Möllenhoff, Michael Möller, Daniel Cremers
2020 J jnl
Bregman Proximal Mappings and Bregman-Moreau Envelopes Under Relative Prox-Regularity.
J. Optim. Theory Appl.
Emanuel Laude, Peter Ochs, Daniel Cremers
2020 — conf
Distributed Photometric Bundle Adjustment.
3DV
Nikolaus Demmel, Maolin Gao, Emanuel Laude, Tao Wu, Daniel Cremers
2019 J jnl
Bregman Proximal Framework for Deep Linear Neural Networks.
CoRR
Mahesh Chandra Mukkamala, Felix Westerkamp, Emanuel Laude, Daniel Cremers, Peter Ochs
2019 A conf
Optimization of Inf-Convolution Regularized Nonconvex Composite Problems.
AISTATS
Emanuel Laude, Tao Wu, Daniel Cremers
2019 J jnl
Optimization of Inf-Convolution Regularized Nonconvex Composite Problems.
CoRR
Emanuel Laude, Tao Wu, Daniel Cremers
2018 A conf
A Nonconvex Proximal Splitting Algorithm under Moreau-Yosida Regularization.
AISTATS
Emanuel Laude, Tao Wu, Daniel Cremers
2018 A* conf
Discrete-Continuous ADMM for Transductive Inference in Higher-Order MRFs.
CVPR
Emanuel Laude, Jan-Hendrik Lange, Jonas Schüpfer, Csaba Domokos, Laura Leal-Taixé, Frank R. Schmidt, Bjoern Andres, Daniel Cremers
2017 J jnl
Discrete-Continuous Splitting for Weakly Supervised Learning.
CoRR
Emanuel Laude, Jan-Hendrik Lange, Frank R. Schmidt, Bjoern Andres, Daniel Cremers
2016 — conf
Sublabel-Accurate Convex Relaxation of Vectorial Multilabel Energies.
ECCV (1)
Emanuel Laude, Thomas Möllenhoff, Michael Möller, Jan Lellmann, Daniel Cremers
2016 J jnl
Sublabel-Accurate Convex Relaxation of Vectorial Multilabel Energies.
CoRR
Emanuel Laude, Thomas Möllenhoff, Michael Möller, Jan Lellmann, Daniel Cremers
2016 A* conf
Sublabel-Accurate Relaxation of Nonconvex Energies.
CVPR
Thomas Möllenhoff, Emanuel Laude, Michael Möller, Jan Lellmann, Daniel Cremers
2015 J jnl
Sublabel-Accurate Relaxation of Nonconvex Energies.
CoRR
Thomas Möllenhoff, Emanuel Laude, Michael Möller, Jan Lellmann, Daniel Cremers