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Papers matching “squared error loss” 12

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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
Improving Autoencoder Performance on Sparse Binary Data through Sparsity-Aware Loss Functions
2026 SSRN Electronic Journal preprint Computer Science Neural Networks and Applications Open access

Daniyal Selani, Rachel Knevel, Erik B. van den Akker, Marcel J. T. Reinders

0

citations
Only strict saddles in the energy landscape of predictive coding networks? *
2025 Journal of Statistical Mechanics Theory and Experiment article Computer Science Neural Networks and Applications Open access

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

1

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
On Sampling-Based Training Criteria for Neural Language Modeling
2021 arXiv (Cornell University) preprint Computer Science Speech Recognition and Synthesis Open access

Yingbo Gao, David Thulke, Alexander Gerstenberger, Ralf Schlüter, Hermann Ney

0

citations
Robustness and measurement-induced percolation of the surface code
2025 Journal of Physics A Mathematical and Theoretical article Computer Science Quantum Computing Algorithms and Architecture Open access

Thomas Botzung, Michael Buchhold, Sebastian Diehl, Markus Michael Müller

4

citations
Robustness and measurement-induced percolation of the surface code
2023 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Thomas Botzung, Michael Buchhold, Sebastian Diehl, Markus Michael Müller

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
Approximation and Generalization Capacities of Parametrized Quantum Circuits for Functions in Sobolev Spaces
2025 Quantum article Computer Science Quantum Computing Algorithms and Architecture Open access

David Dechant, Jordi Tura, Vedran Dunjko

6

citations
Influence Is the Target-Response Jacobian Times Residuals
2026 arXiv (Cornell University) preprint Computer Science Explainable Artificial Intelligence (XAI) Open access

Paul Geertsema, Simon Geertsema

0

citations
Surrogate Modelling of Dynamic Phasor Simulations of Electrical Drives
2022 Proceedings of the Annual Conference of the IEEE Industrial Electronics Society conference-paper Computer Science Gaussian Processes and Bayesian Inference Open access

Nasrulloh Ratu Bagus Satrio Loka, Sriram Karthik Gurumurthy, Bernard S. Amevor, Antonello Monti, Tom Dhaene, Ivo Couckuyt

4

citations

12 results