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Papers matching “functional representation” 30

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A Functional Analysis Approach to Symbolic Regression
2024 arXiv (Cornell University) preprint Computer Science Evolutionary Algorithms and Applications Open access

Kirill Antonov, Roman Kalkreuth, Kaifeng Yang, Thomas Bäck, Bas van Stein, Anna V. Kononova

0

citations
Similarity of Neural Network Models: A Survey of Functional and Representational Measures
2023 arXiv (Cornell University) preprint Computer Science Neural Networks and Applications Open access

Max Klabunde, Tobias Schumacher, Markus Strohmaier, Florian Lemmerich

14

citations
Smooth Kolmogorov Arnold networks enabling structural knowledge representation
2024 arXiv (Cornell University) preprint Computer Science Neural Networks and Applications Open access

Moein E. Samadi, Younes Müller, Andreas Schuppert

14

citations
Mining the contribution of intensive care clinical course to outcome after traumatic brain injury
2023 arXiv (Cornell University) preprint Computer Science Machine Learning in Healthcare Open access

Shubhayu Bhattacharyay, Pier Francesco Caruso, Cecilia A. I. Åkerlund, Lindsay Wilson, Robert David Stevens, David Krishna Menon, +3 more

2

citations
A Wasserstein Graph Distance Based on Distributions of Probabilistic Node Embeddings
2024 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Michael Scholkemper, Damin Kühn, Gerion Nabbefeld, Simon Musall, Björn M. Kampa, Michael T. Schaub

1

citations
Embodiment of a functionally altered virtual arm in adults and children
2025 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Virtual Reality Applications and Impacts Open access

Leif Johannsen, Simon Thurlbeck, Marco Fyfe Pietro Gillies, Xueni Pan, Dorothy A. Cowie

0

citations
Optimal Fidelity Estimation from Binary Measurements for Discrete and Continuous Variable Systems
2024 arXiv (Cornell University) preprint Computer Science Quantum Information and Cryptography Open access

Omar Fawzi, Aadil Oufkir, Robert Salzmann

0

citations
An Examination of Offline-Trained Encoders in Vision-Based Deep Reinforcement Learning for Autonomous Driving
2024 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Shawan Taha Mohammed, Alp Argun, Nicolas Bonnotte, Gerd Ascheid

0

citations
On the Exploration of Incremental Learning for Fine-grained Image Retrieval
2020 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Wei Chen, Yu Liu, Weiping Wang, Tinne Tuytelaars, Erwin M. Bakker, Michael S. Lew

9

citations
Using Knowledge Graphs for Performance Prediction of Modular Optimization Algorithms
2023 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Ana Kostovska, Diederick Vermetten, Sašo Džeroski, Panče Panov, Tome Eftimov, Carola Doerr

3

citations
Erased, Rerouted, or Rescaled? Post-Training and the Causal Quotient of a Language Model's Belief State
2026 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Weihan Li, Tianshi Zheng, Junhao Wu, Xinlei Chen

0

citations
Quantised Global Autoencoder: A Holistic Approach to Representing Visual Data
2024 arXiv (Cornell University) preprint Computer Science Advanced Data Compression Techniques Open access

Tim Elsner, Paula Usinger, Victor Czech, Gregor Kobsik, Yan‐Lin He, Isaak Lim, +1 more

0

citations
IB-RAR: Information Bottleneck as Regularizer for Adversarial Robustness
2023 arXiv (Cornell University) preprint Computer Science Adversarial Robustness in Machine Learning Open access

Xiaoyun Xu, Guilherme Perin, Stjepan Picek

0

citations
Error exponent of activated non-signaling assisted classical-quantum channel coding
2024 arXiv (Cornell University) preprint Computer Science Quantum Information and Cryptography Open access

Aadil Oufkir, Marco Tomamichel, Mario Berta

1

citations
Recurrent Natural Policy Gradient for POMDPs
2024 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Semih Çaycı, Atilla Eryılmaz

0

citations
Quantum circuit decomposition of the tangent-fermion Dirac operator
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

C. W. J. Beenakker

0

citations
On genetic programming representations and fitness functions for interpretable dimensionality reduction
2022 arXiv (Cornell University) preprint Computer Science Evolutionary Algorithms and Applications Open access

Thomas Uriot, Marco Virgolin, Tanja Alderliesten, Peter A. N. Bosman

3

citations
DoE2Vec: Deep-learning Based Features for Exploratory Landscape Analysis
2023 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Bas van Stein, Fu Xing Long, Moritz A. Frenzel, Peter Krause, Markus Gitterle, Thomas Bäck

3

citations
Symbolic Pauli Propagation for Gradient-Enabled Pre-Training of Quantum Circuits
2025 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

0

citations
Recursive querying of neural networks via weighted structures
2026 arXiv (Cornell University) preprint Computer Science Logic, Reasoning, and Knowledge Open access

Martin Grohe, Christoph Standke, Juno Steegmans, Jan Van den Bussche

0

citations
Recursive querying of neural networks via weighted structures
2026 arXiv (Cornell University) preprint Computer Science Logic, Reasoning, and Knowledge Open access

Martin Grohe, Christoph Standke, Juno Steegmans, Jan Van den Bussche

0

citations
Exact Probabilistic Inference Using Generating Functions
2023 arXiv (Cornell University) preprint Computer Science Logic, programming, and type systems Open access

Lutz Klinkenberg, Mingshuai Chen, Joost-Pieter Katoen

1

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
Multiagent Deep Reinforcement Learning: Challenges and Directions Towards Human-Like Approaches.
2021 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Annie Wong, Thomas Bäck, Anna V. Kononova, Aske Plaat

12

citations
Partitioning variability in animal behavioral videos using semi-supervised variational autoencoders
2021 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Human Pose and Action Recognition Open access

Matthew R Whiteway, Dan Biderman, Yoni Friedman, Mario Dipoppa, E. Kelly Buchanan, Anqi Wu, +11 more

9

citations