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Papers matching “embedding space” 32

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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
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
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
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
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
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
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
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
Repulsive Curves.
2020 arXiv (Cornell University) preprint Computer Science Computer Graphics and Visualization Techniques Open access

Christopher Yu, Keenan Crane

1

citations
Learning to Adapt SAM for Segmenting Cross-domain Point Clouds
2023 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Xidong Peng, Runnan Chen, Feng Qiao, Lingdong Kong, Youquan Liu, Tai Wang, +2 more

2

citations
Emergent topological structure in spontaneous brain-organoid activity
2026 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Topological and Geometric Data Analysis Open access

Eve Bodnia, Margaux Basart, Sofie Hai, Lenzie K. Ford, Nina Miolane, Kenneth S. Kosik, +2 more

0

citations
Torus embeddings
2026 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Dan Stowell

0

citations
Learning More Expressive General Policies for Classical Planning Domains
2024 arXiv (Cornell University) preprint Computer Science AI-based Problem Solving and Planning Open access

Simon Ståhlberg, Blai Bonet, Héctor Geffner

0

citations
Principled Latent Diffusion for Graphs via Laplacian Autoencoders
2026 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Antoine Siraudin, Christopher Morris

7

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
AlphaFold meets de novo drug design: leveraging structural protein information in multi-target molecular generative models
2024 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Andrius Bernatavicius, Martin Šícho, Antonius P. A. Janssen, Alan Kai Hassen, Mike Preuß, Gerard J. P. van Westen

1

citations
Clustering and novel class recognition: evaluating bioacoustic deep learning feature extractors
2025 arXiv (Cornell University) preprint Computer Science Music and Audio Processing Open access

Vincent S. Kather, Burooj Ghani, Dan Stowell

1

citations
AlphaFold meets de novo drug design: leveraging structural protein information in multi-target molecular generative models
2024 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Andrius Bernatavicius, Martin Šícho, Antonius P. A. Janssen, Alan Kai Hassen, Mike Preuß, Gerard J. P. van Westen

0

citations
A Riemannian Optimization Perspective of the Gauss-Newton Method for Feedforward Neural Networks
2024 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

Semih Çaycı

6

citations
Exploring Open-world Continual Learning with Knowns-Unknowns Knowledge Transfer
2025 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Yujie Li, Guangda Lai, Xin Yang, Yonghao Li, Marcello Bonsangue, Tianrui Li

3

citations
Unconsciously Forget: Mitigating Memorization; Without Knowing What is being Memorized
2025 arXiv (Cornell University) preprint Computer Science Generative Adversarial Networks and Image Synthesis Open access

Yang Zhang, Yongli Mou, Yanfei Dong, Stefan Decker, Kenji Kawaguchi, Johannes Stegmaier

2

citations
Emergent topological structure in spontaneous brain-organoid activity
2026 arXiv (Cornell University) preprint Computer Science Topological and Geometric Data Analysis Open access

Eve Bodnia, Margaux Basart, Sofie Hai, Lenzie K. Ford, Nina Miolane, Kenneth S. Kosik, +2 more

0

citations