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Papers matching “embedding space” 73

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Walking the Embedding Space: Datastore Extraction from Multimodal RAG
2026 arXiv (Cornell University) preprint Computer Science Adversarial Robustness in Machine Learning Open access

Maria Carmen Jica, Ali Satvaty, Suzan Verberne, Fatih Türkmen

0

citations
Revisiting Incremental Skip-gram for Dynamic Network Embedding
2026 ACM Conference on Reproducibility and Replicability (ACM REP) conference-paper Computer Science Advanced Graph Neural Networks Open access

Akrati Saxena, Ella Has

0

citations
Deep Recursive Embedding for High-Dimensional Data
2021 IEEE Transactions on Visualization and Computer Graphics article Computer Science Face and Expression Recognition Open access cited by 1 patent

13

citations
Trainable embedding quantum physics informed neural networks for solving nonlinear PDEs
2025 Scientific Reports article Computer Science Quantum Computing Algorithms and Architecture Open access

Norbert Hosters, Matthias Möller

26

citations
Latent Prediction Needs Alignment: A Controlled Study of Joint-Embedding Predictive Vision–Language Learning
2026 International Joint Conference on Natural Language Processing and Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL) conference-paper Computer Science Multimodal Machine Learning Applications Open access

Mohammad Kohankhaki, Daniel Kusuma, Shirin Salehi, Carsten Kamp, Sigrid Brell‐Çokcan, Anke Schmeink

0

citations
On the expressivity of embedding quantum kernels
2024 Machine Learning Science and Technology article Computer Science Quantum Computing Algorithms and Architecture Open access

Elies Gil-Fuster, Jens Eisert, Vedran Dunjko

18

citations
On the expressivity of embedding quantum kernels
2023 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Elies Gil-Fuster, Jens Eisert, Vedran Dunjko

0

citations
Layout Embedding via Combinatorial Optimization
2021 Computer Graphics Forum article Computer Science Computational Geometry and Mesh Generation Open access

Janis Born, Patrick Schmidt, Leif P. Kobbelt

18

citations
Exploring Embedding Spaces for more Coherent Topic Modeling in Electronic Health Records
2022 Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics conference-paper Computer Science Topic Modeling Open access

Emil Rijcken, Kalliopi Zervanou, Marco René Spruit, Pablo J. Mosteiro, Floortje E. Scheepers, Uzay Kaymak

3

citations
Instance Segmentation of Biomedical Images with an Object-aware Embedding Learned with Local Constraints
2020 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Long Chen, Martin Strauch, Dorit Merhof

0

citations
Selecting Walk Schemes for Database Embedding
2023 ACM International Conference on Information and Knowledge Management (CIKM) conference-paper Computer Science Advanced Graph Neural Networks Open access

Yuval Lev Lubarsky, Jan Tönshof, Martin Grohe, Benny Kimelfeld

1

citations
A Metric Space of Spatial Graphs: Two-Sample Testing, Data Depth, and Application to Cardiac Fibrosis
2026 arXiv (Cornell University) preprint Computer Science Topological and Geometric Data Analysis Open access

Anna Calissano, Arstanbek Okenov, Katja Zeppenfeld, Alexander V. Panfilov

0

citations
Statistical Learning Theory for Distributional Classification
2026 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Computer Science Machine Learning and Algorithms Open access

Christian Fiedler

0

citations
Manifold-Preserving Superpixel Hierarchies and Embeddings for the Exploration of High-Dimensional Images
2026 arXiv (Cornell University) preprint Computer Science Data Visualization and Analytics Open access

Alexander Vieth, Boudewijn P. F. Lelieveldt, Elmar Eisemann, Anna Vilanova, Thomas Höllt

0

citations
The Effects of Randomness on the Stability of Node Embeddings
2020 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Tobias Schumacher, Hinrikus Wolf, Martin Ritzert, Florian Lemmerich, Jan Bachmann, Florian Frantzen, +3 more

2

citations
Linear probing enables Ship-Radiated Noise recognition with pretrained audio embeddings
2026 Ecological Informatics article Computer Science Music and Audio Processing Open access

Hilde I. Hummel, Sandjai Bhulai, Rob van der Mei, Burooj Ghani

3

citations
Hyperbolic Image Segmentation
2022 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Mina GhadimiAtigh, Julian Schoep, Erman Acar, Nanne van Noord, Pascal Mettes

0

citations
Improving Autoencoder Performance on Sparse Binary Data through Sparsity-Aware Loss Functions
2026 SSRN Electronic Journal preprint Computer Science Neural Networks and Applications Open access

Daniyal Selani, Rachel Knevel, Erik B. van den Akker, Marcel J. T. Reinders

0

citations
Ellipsoidal Embeddings of Graphs
2025 SIAM Journal on Applied Mathematics article Computer Science Advanced Graph Neural Networks Open access

Michaël Fanuel, Antoine Aspeel, Michael T. Schaub, Jean‐Charles Delvenne

0

citations
Ellipsoidal embeddings of graphs
2024 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Michaël Fanuel, Antoine Aspeel, Michael T. Schaub, Jean‐Charles Delvenne

0

citations
HopfE: Knowledge Graph Representation Learning using Inverse Hopf Fibrations
2021 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Anson Bastos, Kuldeep Singh, Abhishek Nadgeri, Saeedeh Shekarpour, Isaiah Onando Mulang, Johannes Hoffart

1

citations
Topological Trajectory Classification and Landmark Inference on Simplicial Complexes
2024 2018 52nd Asilomar Conference on Signals, Systems, and Computers conference-paper Computer Science Topological and Geometric Data Analysis Open access

Vincent P. Grande, Josef Hoppe, Florian Frantzen, Michael T. Schaub

0

citations
TopoEmbedX: A General Framework for Representation Learning on Topological Domains
2026 arXiv (Cornell University) preprint Computer Science Topological and Geometric Data Analysis Open access

Florian Frantzen, Ibrahem ALJabea, Inês Bonacho dos Anjos Henriques-Cadby, Theodore Papamarkou, Mustafa Hajij, Michael T. Schaub

0

citations
Outlier Detection for Trajectories via Flow-embeddings
2021 2018 52nd Asilomar Conference on Signals, Systems, and Computers conference-paper Computer Science Topological and Geometric Data Analysis Open access

Florian Frantzen, Jean-Baptiste Seby, Michael T. Schaub

7

citations
Interpreting Black-box Machine Learning Models for High Dimensional Datasets
2023 IEEE International Conference on Data Science and Advanced Analytics (DSAA) conference-paper Computer Science Explainable Artificial Intelligence (XAI) Open access

Md Shajalal, Alexander Graß, Till Döhmen, Sisay Adugna Chala, Alexander Boden, Christian Beecks, +1 more

19

citations