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Papers matching “global linearization” 44

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Learning deep linear neural networks: Riemannian gradient flows and convergence to global minimizers
2021 Information and Inference A Journal of the IMA article Computer Science Stochastic Gradient Optimization Techniques Open access

Bubacarr Bah, Holger Rauhut, Ulrich Terstiege, Michael Westdickenberg

29

citations
Early Stage LM Integration Using Local and Global Log-Linear Combination
2020 Interspeech (USB) conference-paper Computer Science Speech Recognition and Synthesis Open access

Wilfried Michel, Ralf Schlüter, Hermann Ney

10

citations
The loss landscape of deep linear neural networks: a second-order analysis
2021 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

El Mehdi Achour, François Malgouyres, Sébastien Gerchinovitz

1

citations
Derivation of a fourth-order Co-simulation method for linear systems
2022 Results in Engineering article Computer Science Modeling and Simulation Systems Open access

Andrés Acosta, Jairo Jose Espinosa, Antonello Monti

0

citations
Convergence of gradient based training for linear Graph Neural Networks
2025 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Dhiraj Patel, Anton Savostianov, Michael T. Schaub

0

citations
Convergence of gradient descent for learning linear neural networks
2024 Advances in Continuous and Discrete Models article Computer Science Stochastic Gradient Optimization Techniques Open access

Gabin Maxime Nguegnang, Holger Rauhut, Ulrich Terstiege

10

citations
Convergence of gradient descent for learning linear neural networks
2021 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

Gabin Maxime Nguegnang, Holger Rauhut, Ulrich Terstiege

1

citations
Quantised Global Autoencoder: A Holistic Approach to Representing Visual Data
2024 arXiv (Cornell University) preprint Computer Science Advanced Data Compression Techniques Open access

Tim Elsner, Paula Usinger, Victor Czech, Gregor Kobsik, Yan‐Lin He, Isaak Lim, +1 more

0

citations
Static Global Register Allocation for Dynamic Binary Translators
2025 conference-paper Computer Science Parallel Computing and Optimization Techniques

Niko Zurstraβen, Nils Bosbach, Lennart M. Reimann, Rainer Leupers

1

citations
A Mean-Field Theory of Transformers: Well-Posedness of the Coupled Data--Parameter Dynamics and Global Convergence of Training
2026 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

Michael Herty, Hailiang Liu

0

citations
Differentiable Structure Learning for Cyclic Linear Gaussian Models with Latent Confounders
2026 arXiv (Cornell University) preprint Computer Science Bayesian Modeling and Causal Inference Open access

Sadegh Khorasani, Ali Najar, Saber Salehkaleybar, Negar Kiyavash

0

citations
Automated Design of Linear Bounding Functions for Sigmoidal Nonlinearities in Neural Networks
2024 arXiv (Cornell University) preprint Computer Science Adversarial Robustness in Machine Learning Open access

Xiyue Zhang, Holger H. Hoos, Marta Kwiatkowska, Jan N. van Rijn

0

citations
Automatic Complexity Analysis of Integer Programs via Triangular Weakly Non-Linear Loops
2022 Lecture notes in computer science conference-paper Computer Science Logic, programming, and type systems Open access

Nils Lommen, Fabian Meyer, Jürgen Giesl

7

citations
Automatic Complexity Analysis of Integer Programs via Triangular Weakly Non-Linear Loops
2022 arXiv (Cornell University) preprint Computer Science Logic, programming, and type systems Open access

Nils Lommen, Jürgen Giesl

1

citations
Automated Complexity Analysis of Integer Programs via Triangular Weakly Non-Linear Loops (Short WST Version)
2023 arXiv (Cornell University) preprint Computer Science Logic, programming, and type systems Open access

Nils Lommen, Jürgen Giesl

0

citations
A Stabilization of a Continuous Limit of the Ensemble Kalman Inversion
2022 SIAM Journal on Numerical Analysis article Computer Science Target Tracking and Data Fusion in Sensor Networks Open access

Dieter Armbruster, Michaël Herty, Giuseppe Visconti

9

citations
An Integer Programming Approach to Deep Neural Networks with Binary Activation Functions
2020 arXiv (Cornell University) preprint Computer Science Neural Networks and Applications Open access

Bubacarr Bah, Jannis Kurtz

8

citations
A Newton Method for Solving Locally Definite Multiparameter Eigenvalue Problems by Multi-index
2025 SIAM Journal on Matrix Analysis and Applications article Computer Science Matrix Theory and Algorithms

Henrik Eisenmann

2

citations
A Newton method for solving locally definite multiparameter eigenvalue problems by multiindex
2024 arXiv (Cornell University) preprint Computer Science Matrix Theory and Algorithms Open access

Henrik Eisenmann

0

citations
Kinetic variable-sample methods for stochastic optimization problems
2025 Communications on Pure &amp Applied Analysis article Computer Science Distributed Control Multi-Agent Systems Open access

Sabrina Bonandin, Michaël Herty

0

citations
A Stabilization of a Continuous Limit of the Ensemble Kalman Inversion
2020 arXiv (Cornell University) preprint Computer Science Target Tracking and Data Fusion in Sensor Networks Open access

Dieter Armbruster, Michaël Herty, Giuseppe Visconti

0

citations
Blackbox Secret Sharing Revisited: A Coding-Theoretic Approach with Application to Expansionless Near-Threshold Schemes
2020 Lecture notes in computer science conference-paper Computer Science Cryptography and Data Security Open access

Ronald Cramer, Chaoping Xing

6

citations
Computation-Efficient Era: A Comprehensive Survey of State Space Models in Medical Image Analysis
2024 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Moein Heidari, Sina Ghorbani Kolahi, Sanaz Karimijafarbigloo, Bobby Azad, Afshin Bozorgpour, Soheila Hatami, +5 more

4

citations
stormchecker/storm: v1.14.0
2026 Zenodo (CERN European Organization for Nuclear Research) software Computer Science Formal Methods in Verification Open access

Christian Hensel, Tim Quatmann, Matthias Volk, Sebastian Junges, J. Berger, jipspel, +22 more

0

citations
SymX: Energy-based Simulation from Symbolic Expressions
2025 ACM Transactions on Graphics article Computer Science Computer Graphics and Visualization Techniques Open access

José Antonio Fernández-Fernández, Fabian Löschner, Lukas Westhofen, Andreas Longva, Jan Bender

2

citations