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Papers matching “neural network dynamics” 36

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Uncertainty-Aware Predictive Safety Filters for Probabilistic Neural Network Dynamics
2026 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Bernd Frauenknecht, Lukas Kesper, Daniel Mayfrank, Henrik Hose, Sebastian Trimpe

0

citations
Dynamics of neural scaling laws in random feature regression with powerlaw-distributed kernel eigenvalues
2026 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Jakob Kramp, Javed Lindner, Moritz Helias

0

citations
ExPAN(N)D: Exploring Posits for Efficient Artificial Neural Network Design in FPGA-Based Systems
2020 arXiv (Cornell University) preprint Computer Science Numerical Methods and Algorithms Open access

Suresh Nambi, Salim Ullah, Siva Satyendra Sahoo, Aditya Lohana, Farhad Merchant, Akash S. Kumar

4

citations
Provably Bounding Neural Network Preimages
2023 arXiv (Cornell University) preprint Computer Science Formal Methods in Verification Open access

Suhas Kotha, Christopher Brix, J. Zico Kolter, Krishnamurthy

6

citations
A Mean-Field Theory of Transformers: Well-Posedness of the Coupled Data--Parameter Dynamics and Global Convergence of Training
2026 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

Michael Herty, Hailiang Liu

0

citations
Mean-Field Model for Two-Layer Neural Networks Trained with Consensus-Based Optimization
2025 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

William De Deyn, Michaël Herty, Giovanni Samaey

0

citations
Mean-Field and Kinetic Descriptions of Neural Differential Equations
2020 arXiv (Cornell University) preprint Computer Science Neural Networks and Applications Open access

Michael Herty, T. Trimborn, G. Visconti

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

Frederik Baymler Mathiesen, Luca Laurenti, Alessandro Abate

0

citations
Lipschitz constant estimation for 1D convolutional neural networks
2022 arXiv (Cornell University) preprint Computer Science Neural Networks and Applications Open access

Patricia Pauli, Dennis Gramlich, Frank Allgöwer

0

citations
Preference-Based Reward Learning under Partial Observability with Inexact Dynamics
2026 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Reza Zolnouri, Semih Çaycı

0

citations
Speed Limits for Deep Learning
2023 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

Inbar Seroussi, Alexander A. Alemi, Moritz Helias, Zohar Ringel

0

citations
Continuous limits of residual neural networks in case of large input data
2021 arXiv (Cornell University) preprint Computer Science Neural Networks and Applications Open access

Michael Herty, A. Thuenen, T. Trimborn, G. Visconti

1

citations
Interpretable compositional computation with recurrent neural networks
2026 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Neural Networks and Applications Open access

Louis Pezon, Alexander van Meegen

1

citations
Convergence of Gradient Descent for Recurrent Neural Networks: A Nonasymptotic Analysis
2024 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

Semih Çaycı, Atilla Eryılmaz

0

citations
Convolutional Neural Networks as 2-D systems
2023 arXiv (Cornell University) preprint Computer Science Neural Networks and Applications Open access

Dennis Gramlich, Patricia Pauli, Carsten W. Scherer, Frank Allgöwer, Christian Ebenbauer

3

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
A Learning-Based Control Barrier Function for Car-Like Robots: Toward Less Conservative Collision Avoidance
2024 arXiv (Cornell University) preprint Computer Science Robotic Path Planning Algorithms Open access

Jianye Xu, Bassam Alrifaee

0

citations
Which Algorithms Can Graph Neural Networks Learn?
2026 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Solveig Wittig, Antonis Vasileiou, Robert R. Nerem, Timo Stoll, Floris Geerts, Yusu Wang, +1 more

0

citations
Data Publishing in Mechanics and Dynamics: Challenges, Guidelines, and Examples from Engineering Design
2024 arXiv (Cornell University) preprint Computer Science Research Data Management Practices Open access

Henrik Ebel, Jan van Delden, Timo Lüddecke, Aditya Borse, Rutwik Gulakala, Marcus Stoffel, +9 more

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
MSA$^2$Net: Multi-scale Adaptive Attention-guided Network for Medical Image Segmentation
2024 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access

Sina Ghorbani Kolahi, S. Kamal Chaharsooghi, Toktam Khatibi, Afshin Bozorgpour, Reza Azad, Moein Heidari, +2 more

6

citations
Unfolding recurrence by Green's functions for optimized reservoir computing
2020 arXiv (Cornell University) preprint Computer Science Neural Networks and Reservoir Computing Open access

Sandra Nestler, Christian Keup, David Dahmen, Matthieu Gilson, Holger Rauhut, Moritz Helias

0

citations
MPX: Mixed Precision Training for JAX
2025 arXiv (Cornell University) preprint Computer Science Numerical Methods and Algorithms Open access

Alexander Gräfe, Sebastian Trimpe

0

citations
Iterated Population Based Training with Task-Agnostic Restarts
2025 arXiv (Cornell University) preprint Computer Science Machine Learning and Data Classification Open access

Alexander Chebykin, Tanja Alderliesten, Peter A. N. Bosman

0

citations
Differentiable Learning of Lifted Action Schemas for Classical Planning
2026 arXiv (Cornell University) preprint Computer Science AI-based Problem Solving and Planning Open access

Jonas Reiter, Jakob Elias Gebler, Hector Geffner

0

citations