Adaptive Subgradient Methods for Online Learning and Stochastic Optimization

• Faster Convergence for Transformer Fine-tuning with Line Search Methods

  2023 conference-paper Computer Science Stochastic Gradient Optimization Techniques Open access

  2

  citations
• HybridML: Open source platform for hybrid modeling

  2022 Computers & Chemical Engineering article Computer Science Modeling and Simulation Systems Open access

  30

  citations
• Generally Applicable Deep Speech Inpainting Using the Example of Bandwidth Extension

  2021 European Signal Processing Conference (EUSIPCO) conference-paper Computer Science Speech and Audio Processing

  2

  citations
• O2A: One-Shot Observational Learning with Action Vectors

  2021 Frontiers in Robotics and AI article Computer Science Reinforcement Learning in Robotics Open access

  6

  citations
• Local policy search with Bayesian optimization

  2021 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

  17

  citations
• Tight bounds on the mutual coherence of sensing matrices for Wigner D-functions on regular grids

  2021 Sampling Theory Signal Processing and Data Analysis article Engineering Sparse and Compressive Sensing Techniques Open access

  0

  citations
• Induced network-based transfer learning in injection molding for process modelling and optimization with artificial neural networks

  2021 The International Journal of Advanced Manufacturing Technology article Engineering Injection Molding Process and Properties Open access cited by 1 patent

  97

  citations
• Next Big Challenges in Core AI Technology

  2021 Lecture notes in computer science conference-paper Computer Science Artificial Intelligence Applications

  5

  citations
• Hybrid Deep Learning for Botnet Attack Detection in the Internet-of-Things Networks

  2020 IEEE Internet of Things Journal article Computer Science Network Security and Intrusion Detection Open access cited by 1 patent

  249

  citations
• Tight bounds on the mutual coherence of sensing matrices for Wigner D-functions on regular grids

  2020 arXiv (Cornell University) preprint Engineering Sparse and Compressive Sensing Techniques Open access

  3

  citations
• Probabilistic Load Forecasting for Day-Ahead Congestion Mitigation

  2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) conference-paper Engineering Energy Load and Power Forecasting Open access

  9

  citations
• Automatic frequency restoration reserve market prediction: Methodology and comparison of various approaches

  2020 Applied Energy article Engineering Electric Power System Optimization

  39

  citations
• Newton versus the machine: solving the chaotic three-body problem using deep neural networks

  2020 Monthly Notices of the Royal Astronomical Society article Physics and Astronomy Model Reduction and Neural Networks Open access cited by 1 patent

  97

  citations

13 results