Neural networks and principal component analysis: Learning from examples without local minima

• 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

  1

  citations
• Gradient descent for deep matrix factorization: Dynamics and implicit bias towards low rank

  2023 Applied and Computational Harmonic Analysis article Computer Science Stochastic Gradient Optimization Techniques

  14

  citations
• Data-driven framework for input/output lookup tables reduction: Application to hypersonic flows in chemical nonequilibrium

  2023 Physical Review Fluids article Physics and Astronomy Model Reduction and Neural Networks Open access

  17

  citations
• Auto-encoder-based algorithm for the selection of key characteristics for products to reduce inspection efforts

  2022 International Journal of Quality & Reliability Management article Engineering Fault Detection and Control Systems

  2

  citations
• The Dark Machines Anomaly Score Challenge: Benchmark Data and Model Independent Event Classification for the Large Hadron Collider

  2022 SciPost Physics article Physics and Astronomy Particle physics theoretical and experimental studies Open access

  115

  citations
• Gradient Descent for Deep Matrix Factorization: Dynamics and Implicit Bias Towards Low Rank

  2022 SSRN Electronic Journal preprint Computer Science Stochastic Gradient Optimization Techniques Open access

  5

  citations
• Report on 2105.14027v2

  2021 peer-review Physics and Astronomy Particle physics theoretical and experimental studies Open access

  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

  1

  citations
• Report on 2105.14027v1

  2021 peer-review Physics and Astronomy Particle physics theoretical and experimental studies Open access

  0

  citations
• Autoencoders for unsupervised anomaly detection in high energy physics

  2021 Journal of High Energy Physics article Physics and Astronomy Particle physics theoretical and experimental studies Open access

  100

  citations
• Autoencoders for unsupervised anomaly detection in high energy physics

  2021 RWTH Publications (RWTH Aachen) article Physics and Astronomy Particle physics theoretical and experimental studies Open access

  100

  citations

11 results