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Papers matching “squared error loss” 37

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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
On Sampling-Based Training Criteria for Neural Language Modeling
2021 Interspeech (USB) conference-paper Computer Science Speech Recognition and Synthesis

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

1

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
Exact inference for the parameter of the exponential distribution based on type-I censored stage life testing data
2025 Journal of Statistical Computation and Simulation article Mathematics Statistical Distribution Estimation and Applications

Erhard Cramer, Farha Sultana

0

citations
Rejection after BKPyV DNAemia—Are We Treating Too Cautiously?
2025 Transplant International article Medicine Polyomavirus and related diseases Open access

Wouter T. Moest, Aiko P. J. de Vries, Aline L. van Rijn, Danny van der Helm, Jesper Kers, Mariet C.W. Feltkamp, +1 more

2

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
Prediction of the disease course in Friedreich ataxia
2022 Scientific Reports article Neuroscience Genetic Neurodegenerative Diseases Open access

Christian Hohenfeld, Ulrich Terstiege, Imis Dogan, Paola Giunti, Michael H. Parkinson, Caterina Mariotti, +19 more

9

citations
Outlier-Resistant Fusion for Multi-static Positioning using 5G NR Signals
2026 arXiv (Cornell University) preprint Engineering Indoor and Outdoor Localization Technologies Open access

Maximiliano Rivera Figueroa, Jannis Held, Pradyumna Kumar Bishoyi, Marina Petrova

0

citations
Outlier-Resistant Fusion for Multi-static Positioning using 5G NR Signals
2026 arXiv (Cornell University) preprint Engineering Indoor and Outdoor Localization Technologies Open access

Maximiliano Rivera Figueroa, Jannis Held, Pradyumna Kumar Bishoyi, Marina Petrova

0

citations
Super-resolution in Structural Geological Models.
2021 conference-abstract Earth and Planetary Sciences Geological Modeling and Analysis Open access

Mustaeen Ur Rehman Qazi, Florian Wellmann

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
Prediction of Acoustic Fields Using a Lattice-Boltzmann Method and Deep Learning
2020 Lecture notes in computer science conference-paper Physics and Astronomy Model Reduction and Neural Networks Open access

Mario Rüttgers, Seong Ryong Koh, Jenia Jitsev, Wolfgang Schröder, Andreas Lintermann

7

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
Long Short-Term Memory to Predict the Quality Parameters in the Hot Rolling Process
2026 Key engineering materials article Engineering Metallurgy and Material Forming Open access

Tamoghna Majumder, Nilesh Thakare, Holger Brüggemann, Emad Scharifi, Junhe Lian

0

citations
Estimating drought impacts on crop yield using AI and EO
2025 conference-abstract Environmental Science Remote Sensing in Agriculture Open access

Hemant Sahu, Pradeep Kumar Garg, Antara Dasgupta

0

citations
Assessment of aortic valve stenosis severity: multimodality imaging may be the key
2020 European Heart Journal - Cardiovascular Imaging editorial Medicine Cardiac Valve Diseases and Treatments

Federico Fortuni, Victoria Delgado

7

citations
Variationally correct neural residual regression for parametric PDEs: on the viability of controlled accuracy
2025 IMA Journal of Numerical Analysis article Physics and Astronomy Model Reduction and Neural Networks Open access

Markus Bachmayr, Wolfgang Dahmen, Mathias Oster

10

citations
Variationally Correct Neural Residual Regression for Parametric PDEs: On the Viability of Controlled Accuracy
2024 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Markus Bachmayr, Wolfgang Dahmen, Mathias Oster

3

citations
Unsupervised pseudo CT generation using heterogenous multicentric CT/MR images and CycleGAN: Dosimetric assessment for 3D conformal radiotherapy
2022 Computers in Biology and Medicine article Physics and Astronomy Advanced Radiotherapy Techniques Open access

Amir Jabbarpour, Seied Rabi Mahdavi, Alireza Vafaei Sadr, Golbarg Esmaili, Isaac Shiri, Habib Zaidi

44

citations