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Papers matching “automatic differentiation” 48

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TinyAD: Automatic Differentiation in Geometry Processing Made Simple
2022 Computer Graphics Forum article Computer Science Computer Graphics and Visualization Techniques Open access

Patrick Schmidt, Janis Born, David Bommes, Marcel Campen, Leif P. Kobbelt

21

citations
Fast and General Automatic Differentiation for Finite-State Methods
2026 arXiv (Cornell University) preprint Computer Science Natural Language Processing Techniques Open access

Lucas Ondel Yang, Tina Raissi, Martin Kocour, Pablo Riera, Caio Corro

0

citations
Optimizing Automatic Differentiation with Deep Reinforcement Learning
2024 JuSER (Forschungszentrum Jülich) conference-paper Computer Science Parallel Computing and Optimization Techniques Open access

Jamie Lohoff, Emre Neftci

2

citations
Automatic Learning of Subword Dependent Model Scales
2022 Interspeech (USB) conference-paper Computer Science Speech Recognition and Synthesis Open access

Felix Meyer, Wilfried Michel, Mohammad Zeineldeen, Ralf Schlüter, Hermann Ney

0

citations
Automatic Learning of Subword Dependent Model Scales
2021 arXiv (Cornell University) preprint Computer Science Speech Recognition and Synthesis Open access

Wilfried Michel, Mohammad Zeineldeen, Ralf Schlüter, Hermann Ney

0

citations
Elimination Techniques for Algorithmic Differentiation Revisited
2023 Society for Industrial and Applied Mathematics eBooks conference-paper Computer Science Numerical Methods and Algorithms

Uwe Naumann, Erik Schneidereit, Simon Märtens, Markus Towara

0

citations
Elimination Techniques for Algorithmic Differentiation Revisited
2023 arXiv (Cornell University) preprint Computer Science Numerical Methods and Algorithms Open access

Uwe Naumann, Erik Schneidereit, Simon Maertens, Markus Towara

0

citations
Eigen-AD: Algorithmic Differentiation of the Eigen Library
2020 Lecture notes in computer science conference-paper Computer Science Numerical Methods and Algorithms Open access

11

citations
Deep learning-based system for automatic identification of benign and malignant eyelid tumours
2025 British Journal of Ophthalmology article Computer Science AI in cancer detection

Wanlin Fan, Martine Johanna Jager, Weiwei Dai, Ludwig Maximilian Heindl

2

citations
Eigen-AD : Algorithmic Differentiation of the Eigen Library
2020 RWTH Publications (RWTH Aachen) conference-paper Computer Science Numerical Methods and Algorithms

Patrick Peltzer, Johannes Lotz, Uwe Naumann

9

citations
An Automatic Framework to Create Patient-specific Eye Models From 3D Magnetic Resonance Images for Treatment Selection in Patients With Uveal Melanoma
2021 Advances in Radiation Oncology article Computer Science Medical Image Segmentation Techniques Open access

Mohamed Kilany Hassan, Emmanuelle Fleury, Denis P. Shamonin, Lorna Grech Fonk, Marina Marinkovic, Myriam G. Jaarsma‐Coes, +4 more

12

citations
NAS-AMR: Neural Architecture Search-Based Automatic Modulation Recognition for Integrated Sensing and Communication Systems
2022 IEEE Transactions on Cognitive Communications and Networking article Computer Science Wireless Signal Modulation Classification

Xixi Zhang, Haitao Zhao, Hongbo Zhu, Bamidele Adebisi, Guan Gui, Haris Gacanin, +1 more

115

citations
The Impact of ASR on the Automatic Analysis of Linguistic Complexity and Sophistication in Spontaneous L2 Speech
2021 Interspeech (USB) conference-paper Computer Science Speech Recognition and Synthesis

Yu Qiao, Wei Guo Zhou, Elma Kerz, Ralf Schlüter

2

citations
The Impact of ASR on the Automatic Analysis of Linguistic Complexity and Sophistication in Spontaneous L2 Speech
2021 arXiv (Cornell University) preprint Computer Science Speech Recognition and Synthesis Open access

Yu Qiao, Wei Guo Zhou, Elma Kerz, Ralf Schlüter

0

citations
Structured learning of rigid‐body dynamics: A survey and unified view from a robotics perspective
2021 GAMM-Mitteilungen article Computer Science Reinforcement Learning in Robotics Open access

A. René Geist, Sebastian Trimpe

25

citations
Differentiable Programming: Efficient Smoothing of Control-Flow-Induced Discontinuities
2023 arXiv (Cornell University) preprint Computer Science Logic, programming, and type systems Open access

Sebastian Christodoulou, Uwe Naumann

2

citations
Implicit Frictional Dynamics With Soft Constraints
2024 IEEE Transactions on Visualization and Computer Graphics article Computer Science Computer Graphics and Visualization Techniques

Egor Larionov, Andreas Longva, Uri M. Ascher, Jan Bender, Dinesh K. Pai

2

citations
SymX: Energy-based Simulation from Symbolic Expressions
2025 ACM Transactions on Graphics article Computer Science Computer Graphics and Visualization Techniques Open access

José Antonio Fernández-Fernández, Fabian Löschner, Lukas Westhofen, Andreas Longva, Jan Bender

2

citations
Performance Portable Adjoints for Structured Mesh Applications with OPS
2026 ACM Transactions on Mathematical Software article Computer Science Parallel Computing and Optimization Techniques Open access

Gábor Dániel Balogh, Johannes Lotz, Jacques du Toit, Uwe Naumann, István Z. Reguly

0

citations
A Truly Sparse and General Implementation of Gradient-Based Synaptic Plasticity
2025 arXiv (Cornell University) preprint Computer Science Neural Networks and Applications Open access

Jamie Lohoff, Florian Assmuth, Emre Neftci

0

citations
A Truly Sparse and General Implementation of Gradient-Based Synaptic Plasticity
2025 conference-paper Computer Science Neural Networks and Applications

Jamie Lohofl, Florian Assmuth, Emre Neftci

0

citations
dfm/tinygp: The tiniest of Gaussian Process libraries
2026 Zenodo (CERN European Organization for Nuclear Research) software Computer Science Gaussian Processes and Bayesian Inference Open access

Daniel T. Foreman-Mackey, Weixiang Yu, Sachin Yadav, McCoy R. Becker, Neven Čaplar, Daniela Huppenkothen, +4 more

0

citations
dfm/tinygp: The tiniest of Gaussian Process libraries
2026 Zenodo (CERN European Organization for Nuclear Research) software Computer Science Gaussian Processes and Bayesian Inference Open access

Daniel T. Foreman-Mackey, Weixiang Yu, Sachin Yadav, McCoy R. Becker, Neven Čaplar, Daniela Huppenkothen, +4 more

0

citations
Differential Invariants
2021 arXiv (Cornell University) preprint Computer Science Logic, programming, and type systems Open access

Uwe Naumann

0

citations
Matrix-Free Jacobian Chaining
2026 Society for Industrial and Applied Mathematics eBooks conference-paper Computer Science Matrix Theory and Algorithms

Uwe Naumann

0

citations