From

Institution

Field

Type

Open access only Cited by patents (Lens) Include non-Aachen papers (citing/cited)

Reset

Papers matching “distributed data” 526

Sort: Relevance Cited Newest Oldest Fwci Patents ⇩ CSV

Not finding it? Sign in to also search OpenAlex live.

ImageGrains 2.0: Improved precision and generalization for grain segmentation
2026 preprint Computer Science Advanced Neural Network Applications Open access

David Mair, Guillaume Witz, Ariel Do Prado, Philippos Garefalakis, Amanda Wild, Fanny Ville, +8 more

0

citations
From Kernels to Features: A Multi-Scale Adaptive Theory of Feature Learning
2025 JuSER (Forschungszentrum Jülich) conference-paper Computer Science Neural Networks and Applications Open access

Noa Rubin, Javed Lindner, David Dahmen, Inbar Seroussi, Zohar Ringel, Michael Krämer, +1 more

0

citations
Comment on egusphere-2025-6346
2026 peer-review Computer Science Advanced Neural Network Applications Open access

David Mair, Guillaume Witz, Ariel Henrique do Prado, Philippos Garefalakis, Amanda Wild, Fanny Ville, +9 more

0

citations
Locally-Measured Rényi Divergences
2024 arXiv (Cornell University) preprint Computer Science Quantum Information and Cryptography Open access

Tobias Rippchen, Sreejith Sreekumar, Mario Berta

0

citations
Comment on egusphere-2025-6346
2026 peer-review Computer Science Advanced Neural Network Applications Open access

David Mair, Guillaume Witz, Ariel Henrique do Prado, Philippos Garefalakis, Amanda Wild, Fanny Ville, +9 more

0

citations
On some geometric identities involving the sample covariance matrix and its adjugate
2026 Bernoulli article Computer Science Matrix Theory and Algorithms Open access

Alexander Dürre, Davy Paindaveine

0

citations
Nonparametric Learning Non-Gaussian Quantum States of Continuous Variable Systems
2026 Physical Review Letters article Computer Science Quantum Information and Cryptography Open access

Liubov A. Markovich, Xiaoyu Liu, Jordi Tura

0

citations
ProtoSimNet: Exploiting prototype similarity for few-shot learning
2026 Neurocomputing article Computer Science Domain Adaptation and Few-Shot Learning Open access

Nan Pu, Erwin M. Bakker, Michael S. Lew

0

citations
Does Compression Imply Generalization? A Minimum Description Length Perspective
2026 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

Lincen Yang, Jiayang Shi, Nan Pu, Daniël M. Pelt, Matthijs van Leeuwen, Zhong Li, +1 more

0

citations
coffea
2026 Zenodo (CERN European Organization for Nuclear Research) software Computer Science Computational Physics and Python Applications Open access

Lindsey Gray, Nicholas Smith, Andrzej Novak, Peter Fackeldey, Benjamín Tovar, Yi-Mu Chen, +2 more

0

citations
Convergence monitoring of quantum Gibbs samplers
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Nikolaos Louloudis, Rubén Ibarrondo, Mikel Sanz, Mario Berta

0

citations
The Influence of HEXACO Personality Traits on the Teamwork Quality in Software Teams -- A Preliminary Research Approach
2025 arXiv (Cornell University) preprint Computer Science Software Engineering Techniques and Practices Open access

Philipp M. Zähl, Sabine Theis, Martin Wolf

0

citations
Generalizable Insights for Graph Transformers in Theory and Practice
2025 neural information processing systems conference-paper Computer Science Advanced Graph Neural Networks Open access

Timo Stoll

0

citations
Investigation of Large-Margin Softmax in Neural Language Modeling
2020 Interspeech (USB) conference-paper Computer Science Speech Recognition and Synthesis

Yingbo Gao, Weiyue Wang, Ralf Schlüter, Hermann Ney

0

citations
Identifiability from Stationary Covariance in Linear SDEs with Reciprocal Interactions and Latent Variables
2026 arXiv (Cornell University) preprint Computer Science Bayesian Modeling and Causal Inference Open access

Ana Letícia Garcez Vicente, Saber Salehkaleybar

0

citations
A Logic of Only-Believing over Arbitrary Probability Distributions
2023 Adaptive Agents and Multi-Agents Systems conference-paper Computer Science Logic, Reasoning, and Knowledge

Qihui Feng, Daxin Liu, Vaishak Belle, Gerhard Lakemeyer

0

citations
Investigation of Large-Margin Softmax in Neural Language Modeling
2020 arXiv (Cornell University) preprint Computer Science Speech Recognition and Synthesis Open access

Yingbo Gao, Weiyue Wang, Ralf Schlüter, Hermann Ney

0

citations
Robust Knowledge Distillation from RNN-T Models With Noisy Training Labels Using Full-Sum Loss
2023 arXiv (Cornell University) preprint Computer Science Speech Recognition and Synthesis Open access

Mohammad Zeineldeen, Kartik Audhkhasi, Murali Karthick Baskar, Bhuvana Ramabhadran

0

citations
Render Before Reading: Visual Rendering as a Prompt Injection Defense
2026 arXiv (Cornell University) preprint Computer Science Adversarial Robustness in Machine Learning Open access

Jie Zhang, Andrei Baroian, Jan N. van Rijn, Avital Shafran, Florian Tramèr

0

citations
Provable learning separation for predicting time-evolution of quantum many-body systems
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Rahul Bandyopadhyay, Riccardo Molteni, Jens Eisert, Vedran Dunjko, Sofiène Jerbi

0

citations
Semantic Alignment Experiments on ECLASS
2026 Zenodo (CERN European Organization for Nuclear Research) software Computer Science Semantic Web and Ontologies Open access

Sebastian Heppner, Moritz Sommer

0

citations
Efficient Computation of QKD Key Rates without Semidefinite Programming
2026 arXiv (Cornell University) preprint Computer Science Quantum Information and Cryptography Open access

Bence Temesi, Antoine Gansel, Gereon Koßmann, René Schwonnek

0

citations
Making Sense of Blockchain as a Digital Technology for Open Innovation: A Review Exploring Blockchain Business Applications, Start-Up Business Models, and Blockchain Services Ecosystem
2021 WORLD SCIENTIFIC eBooks book-chapter Computer Science Blockchain Technology Applications and Security

Suraj Bhattarai, Harry Fulgencio, Hans LeFever

0

citations
How Does Bayesian Causal Discovery Fail? Characterising Structural Consequences in Linear Gaussian Networks under Latent Confounding
2026 arXiv (Cornell University) preprint Computer Science Bayesian Modeling and Causal Inference Open access

Debargha Ghosh, Silja Renooij, Anna Kononova

0

citations
EXCELLERATP2 D3.2 First Updated Report on Exa-Enabling Methodologies
2026 Zenodo (CERN European Organization for Nuclear Research) article Computer Science Parallel Computing and Optimization Techniques Open access

Ansgar Niemöller, Matthias H. Meinke, Joeffrey Legaux, Mohamed Ibrahim Ghenai, Michael Wagner, Tufan Arslan, +12 more

0

citations