From

Institution

Field

Type

Open access only Cited by patents (Lens) Include non-Aachen papers (citing/cited)

Reset

Papers matching “linearization” 155

Sort: Relevance Cited Newest Oldest Fwci Patents ⇩ CSV

Not finding it? Sign in to also search OpenAlex live.

On Deciding Constant Runtime of Linear Loops
2026 arXiv (Cornell University) preprint Computer Science Logic, programming, and type systems Open access

Florian Frohn, Jürgen Giesl, Peter Giesl, Nils Lommen

0

citations
Linear optical logical Bell state measurements with optimal loss-tolerance threshold
2023 arXiv (Cornell University) preprint Computer Science Quantum Information and Cryptography Open access

Paul Hilaire, Yaron Castor, Edwin Barnes, Sophia E. Economou, Frédéric Grosshans

0

citations
On Deciding Constant Runtime of Linear Loops
2026 arXiv (Cornell University) preprint Computer Science Logic, programming, and type systems Open access

Florian Frohn, Jürgen Giesl, Peter Giesl, Nils Lommen

0

citations
Linear time reconstruction by discrete tomography in three dimensions
2020 arXiv (Cornell University) preprint Computer Science Digital Image Processing Techniques Open access

Matthew Ceko, Silvia M.C. Pagani, Rob Tijdeman

0

citations
Probabilistic Robust Linear Quadratic Regulators with Gaussian Processes
2021 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Alexander von Rohr, Matthias Neumann-Brosig, Sebastian Trimpe

10

citations
Shifting-based Optimizable Linear Relaxations for General Activation Functions
2026 arXiv (Cornell University) preprint Computer Science Formal Methods in Verification Open access

Philipp Kern, László Antal, Erika Ábrahám, Carsten Sinz

0

citations
Measuring Concept Content in Text from LLM Activations: ESG Evidence from Concept Vectors and Linear Probes
2026 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Luc Hazenoot, Zhaochun Ren, Amirhossein Zohrehvand

0

citations
A linear time approach to three-dimensional reconstruction by discrete tomography
2020 arXiv (Cornell University) preprint Computer Science Digital Image Processing Techniques Open access

Matthew Ceko, Silvia M.C. Pagani, Rob Tijdeman

0

citations
Qubit-Efficient Randomized Quantum Algorithms for Linear Algebra
2023 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Samson Wang, Sam McArdle, Mario Berta

2

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
Scalable Verification of Neural Control Barrier Functions Using Linear Bound Propagation
2025 arXiv (Cornell University) preprint Computer Science Formal Methods in Verification Open access

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
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
Predicting clinical drug response from model systems by non-linear subspace-based transfer learning
2020 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Computational Drug Discovery Methods Open access

Soufiane M. C. Mourragui, Marco Loog, Daniël J. Vis, Kat S Moore, Anna G. Manjón, Mark A. van de Wiel, +2 more

9

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
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
How Does Bayesian Causal Discovery Fail? Characterising Structural Consequences in Linear Gaussian Networks under Latent Confounding
2026 arXiv (Cornell University) preprint Computer Science Bayesian Modeling and Causal Inference Open access

Debargha Ghosh, Silja Renooij, Anna Kononova

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
Proving UNSAT in SMT: The Case of Quantifier Free Non-Linear Real Arithmetic
2021 arXiv (Cornell University) preprint Computer Science Formal Methods in Verification Open access

Erika Ábrahám, James H. Davenport, Matthew England, Gereon Kremer

0

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
Fireiron: A Scheduling Language for High-Performance Linear Algebra on GPUs
2020 arXiv (Cornell University) preprint Computer Science Parallel Computing and Optimization Techniques Open access

Bastian Hagedorn, Archibald Samuel Elliott, Henrik Barthels, Rastislav Bodík, Vinod Grover

2

citations
Every Component Is a Lookup: One Linear Graph for Interaction, Composition and Attribution
2026 arXiv (Cornell University) preprint Computer Science Explainable Artificial Intelligence (XAI) Open access

Po-Kai Chen, Aske Plaat, Bas van Stein

0

citations
Classification Error Bound for Low Bayes Error Conditions in Machine Learning
2025 arXiv (Cornell University) preprint Computer Science Speech Recognition and Synthesis Open access

Zijian Győző Yang, Vahe Eminyan, Ralf Schlüter, Hermann Ney

0

citations
Only Strict Saddles in the Energy Landscape of Predictive Coding Networks?
2024 arXiv (Cornell University) preprint Computer Science Neural Networks and Applications Open access

Francesco Innocenti, El Mehdi Achour, Ryan R. Singh, Christopher L. Buckley

0

citations
End-to-end resource analysis for quantum interior point methods and portfolio optimization
2022 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Alexander M. Dalzell, B. D. Clader, Grant Salton, Mario Berta, Cedric Yen-Yu Lin, David A. Bader, +5 more

3

citations