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Papers matching “dynamic process modeling” 21

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Model-based Reinforcement Learning: A Survey
2020 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Thomas M. Moerland, Joost Broekens, Aske Plaat, Catholijn M. Jonker

82

citations
Exact Inference for Continuous-Time Gaussian Process Dynamics
2023 RWTH Publications (RWTH Aachen) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Katharina Ensinger, Nicholas Tagliapietra, Sebastian Ziesche, Sebastian Trimpe

0

citations
IQLS: Framework for leveraging Metadata to enable Large Language Model based queries to complex, versatile Data
2024 arXiv (Cornell University) preprint Computer Science Semantic Web and Ontologies Open access

Sami Azirar, Hossam A. Gabbar, Chaouki Regoui

0

citations
Unifying Data, Memory, and Compute Efficiency in LLM training: A Survey
2026 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Vanessa Schmidt, Huy Hoang Nguyen, Cédric Jung, Shirin Salehi, Anke Schmeink

0

citations
Unifying Data, Memory, and Compute Efficiency in LLM training: A Survey
2026 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Vanessa Schmidt, Huy Hoang Nguyen, Cédric Jung, Shirin Salehi, Anke Schmeink

0

citations
Long-Memory Reservoir Computing for Data-Scarce Dengue Forecasting
2026 arXiv (Cornell University) preprint Computer Science Neural Networks and Reservoir Computing Open access

Rahul Goswami, Shinjini Paul, Palash Ghosh, Tanujit Chakraborty

0

citations
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
A Computational Implementation of a Goal-Directed Theory of Affect
2026 arXiv (Cornell University) preprint Computer Science Psychiatry, Mental Health, Neuroscience Open access

Bernhard Hilpert, Tamás Szűcs, Joost Broekens, Agnes Moors

0

citations
Beyond Spatio-Temporal Representations: Evolving Fourier Transform for Temporal Graphs
2024 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Anson Bastos, Kuldeep Singh, Abhishek Nadgeri, Manish Singh, Toyotaro Suzumura

0

citations
Fast and robust Bayesian Inference using Gaussian Processes with GPry
2022 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Jonas El Gammal, Nils Schöneberg, Jesús Torrado, Christian Fidler

1

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
On Foundation Models for Dynamical Systems from Purely Synthetic Data
2024 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Andrés Felipe Posada-Moreno, Friedrich Solowjow, Sebastian Trimpe

1

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
Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy
2026 arXiv (Cornell University) preprint Computer Science Software Engineering Research Open access

Elisa Chiarotto, Jingbo Li, P. Chris Broekema, Rob V. van Nieuwpoort

0

citations
Real-time simulations of transmon systems with time-dependent Hamiltonian models
2023 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Hannes Lagemann

0

citations
Probabilistic Robust Linear Quadratic Regulators with Gaussian Processes
2021 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Alexander von Rohr, Matthias Neumann-Brosig, Sebastian Trimpe

10

citations
Generative Retrieval with Few-shot Indexing
2024 arXiv (Cornell University) preprint Computer Science Information Retrieval and Search Behavior Open access

Arian Askari, Chuan Meng, Mohammad Aliannejadi, Zhaochun Ren, Evangelos Kanoulas, Suzan Verberne

2

citations
GRINQH: Graded Input-based Quantization Hierarchy for Efficient LLM Generation
2026 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Jette Oberländer, Jan Finkbeiner, Catherine Mia Schöfmann, Emre Neftci

0

citations
Analytical blueprint for 99.999% fidelity X-gates on present superconducting hardware under strong driving
2025 arXiv (Cornell University) preprint Computer Science Quantum Information and Cryptography Open access

José Diogo Da Costa Jesus, Boxi Li, Yuan Gao, Rami Barends, F. A. Cárdenas-López, Felix Motzoi

0

citations
ALoRA: Allocating Low-Rank Adaptation for Fine-tuning Large Language Models
2024 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Zhaojia Liu, Jiawen Lyn, Wei Zhu, Xing Tian, Yvette Graham

1

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

21 results