Saved in:
| Main Authors: | Zeng, Siqi, Du, Sixian, Yamada, Makoto, Zhao, Han |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2410.03052 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Learning Structured Representations with Hyperbolic Embeddings
by: Sinha, Aditya, et al.
Published: (2024)
by: Sinha, Aditya, et al.
Published: (2024)
When LRP Diverges from Leave-One-Out in Transformers
by: You, Weiqiu, et al.
Published: (2025)
by: You, Weiqiu, et al.
Published: (2025)
Many-to-Many Matching via Sparsity Controlled Optimal Transport
by: Liu, Weijie, et al.
Published: (2025)
by: Liu, Weijie, et al.
Published: (2025)
LSMI-Sinkhorn: Semi-supervised Mutual Information Estimation with Optimal Transport
by: Liu, Yanbin, et al.
Published: (2019)
by: Liu, Yanbin, et al.
Published: (2019)
Task Vector Bases: A Unified and Scalable Framework for Compressed Task Arithmetic
by: Zeng, Siqi, et al.
Published: (2025)
by: Zeng, Siqi, et al.
Published: (2025)
Hierarchy Representation of Data in Machine Learnings
by: Yegang, Han, et al.
Published: (2023)
by: Yegang, Han, et al.
Published: (2023)
Fast unsupervised ground metric learning with tree-Wasserstein distance
by: Düsterwald, Kira M., et al.
Published: (2024)
by: Düsterwald, Kira M., et al.
Published: (2024)
PhiNets: Brain-inspired Non-contrastive Learning Based on Temporal Prediction Hypothesis
by: Ishikawa, Satoki, et al.
Published: (2024)
by: Ishikawa, Satoki, et al.
Published: (2024)
Beyond Mapping : Domain-Invariant Representations via Spectral Embedding of Optimal Transport Plans
by: Saoud, Abdel Djalil Sad, et al.
Published: (2026)
by: Saoud, Abdel Djalil Sad, et al.
Published: (2026)
Joint Optimal Transport and Embedding for Network Alignment
by: Yu, Qi, et al.
Published: (2025)
by: Yu, Qi, et al.
Published: (2025)
Structure-Preserving Multi-View Embedding Using Gromov-Wasserstein Optimal Transport
by: Eufrazio, Rafael Pereira, et al.
Published: (2026)
by: Eufrazio, Rafael Pereira, et al.
Published: (2026)
Optimal Transport for Structure Learning Under Missing Data
by: Vo, Vy, et al.
Published: (2024)
by: Vo, Vy, et al.
Published: (2024)
Anchor Space Optimal Transport as a Fast Solution to Multiple Optimal Transport Problems
by: Huang, Jianming, et al.
Published: (2023)
by: Huang, Jianming, et al.
Published: (2023)
Linear Optimal Partial Transport Embedding
by: Bai, Yikun, et al.
Published: (2023)
by: Bai, Yikun, et al.
Published: (2023)
Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation
by: Otsuka, Kaoru, et al.
Published: (2025)
by: Otsuka, Kaoru, et al.
Published: (2025)
Transport of Algebraic Structure to Latent Embeddings
by: Pfrommer, Samuel, et al.
Published: (2024)
by: Pfrommer, Samuel, et al.
Published: (2024)
Neighbor Embeddings Using Unbalanced Optimal Transport Metrics
by: Rana, Muhammad, et al.
Published: (2025)
by: Rana, Muhammad, et al.
Published: (2025)
Embedding Empirical Distributions for Computing Optimal Transport Maps
by: Jiang, Mingchen, et al.
Published: (2025)
by: Jiang, Mingchen, et al.
Published: (2025)
Hierarchical Multi-Marginal Optimal Transport for Network Alignment
by: Zeng, Zhichen, et al.
Published: (2023)
by: Zeng, Zhichen, et al.
Published: (2023)
SAFA-SNN: Sparsity-Aware On-Device Few-Shot Class-Incremental Learning with Fast-Adaptive Structure of Spiking Neural Network
by: Zhang, Huijing, et al.
Published: (2025)
by: Zhang, Huijing, et al.
Published: (2025)
AvAtar: Learning to Align via Active Optimal Transport
by: Yu, Qi, et al.
Published: (2026)
by: Yu, Qi, et al.
Published: (2026)
An Empirical Study of Self-supervised Learning with Wasserstein Distance
by: Yamada, Makoto, et al.
Published: (2023)
by: Yamada, Makoto, et al.
Published: (2023)
Fast and Interpretable Protein Substructure Alignment via Optimal Transport
by: Wang, Zhiyu, et al.
Published: (2025)
by: Wang, Zhiyu, et al.
Published: (2025)
Towards the Effect of Examples on In-Context Learning: A Theoretical Case Study
by: He, Pengfei, et al.
Published: (2024)
by: He, Pengfei, et al.
Published: (2024)
Submodular Framework for Structured-Sparse Optimal Transport
by: Manupriya, Piyushi, et al.
Published: (2024)
by: Manupriya, Piyushi, et al.
Published: (2024)
Hierarchy-Guided Multimodal Representation Learning for Taxonomic Inference
by: Ahmed, Sk Miraj, et al.
Published: (2026)
by: Ahmed, Sk Miraj, et al.
Published: (2026)
Weisfeiler and Leman Go Loopy: A New Hierarchy for Graph Representational Learning
by: Paolino, Raffaele, et al.
Published: (2024)
by: Paolino, Raffaele, et al.
Published: (2024)
Who is In Charge? Dissecting Role Conflicts in Instruction Following
by: Zeng, Siqi
Published: (2025)
by: Zeng, Siqi
Published: (2025)
Physics-informed data-driven machine health monitoring for two-photon lithography
by: Jia, Sixian, et al.
Published: (2025)
by: Jia, Sixian, et al.
Published: (2025)
Parameter-free Clipped Gradient Descent Meets Polyak
by: Takezawa, Yuki, et al.
Published: (2024)
by: Takezawa, Yuki, et al.
Published: (2024)
Necessary and Sufficient Watermark for Large Language Models
by: Takezawa, Yuki, et al.
Published: (2023)
by: Takezawa, Yuki, et al.
Published: (2023)
Geometry-Aware Optimal Transport: Fast Intrinsic Dimension and Wasserstein Distance Estimation
by: Genans, Ferdinand, et al.
Published: (2026)
by: Genans, Ferdinand, et al.
Published: (2026)
Fast Log-Domain Sinkhorn Optimal Transport with Warp-Level GPU Reductions
by: Xiao, Hao
Published: (2026)
by: Xiao, Hao
Published: (2026)
Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding
by: Wei, Yuecen, et al.
Published: (2023)
by: Wei, Yuecen, et al.
Published: (2023)
Geometric Operator Learning with Optimal Transport
by: Li, Xinyi, et al.
Published: (2025)
by: Li, Xinyi, et al.
Published: (2025)
Overcoming Class Imbalance: Unified GNN Learning with Structural and Semantic Connectivity Representations
by: Alchihabi, Abdullah, et al.
Published: (2024)
by: Alchihabi, Abdullah, et al.
Published: (2024)
OMH: Structured Sparsity via Optimally Matched Hierarchy for Unsupervised Semantic Segmentation
by: Ozaydin, Baran, et al.
Published: (2024)
by: Ozaydin, Baran, et al.
Published: (2024)
ENOT: Expectile Regularization for Fast and Accurate Training of Neural Optimal Transport
by: Buzun, Nazar, et al.
Published: (2024)
by: Buzun, Nazar, et al.
Published: (2024)
Minimizing Hyperbolic Embedding Distortion with LLM-Guided Hierarchy Restructuring
by: Ayoughi, Melika, et al.
Published: (2025)
by: Ayoughi, Melika, et al.
Published: (2025)
Rethinking Optimal Transport in Offline Reinforcement Learning
by: Asadulaev, Arip, et al.
Published: (2024)
by: Asadulaev, Arip, et al.
Published: (2024)
Similar Items
-
Learning Structured Representations with Hyperbolic Embeddings
by: Sinha, Aditya, et al.
Published: (2024) -
When LRP Diverges from Leave-One-Out in Transformers
by: You, Weiqiu, et al.
Published: (2025) -
Many-to-Many Matching via Sparsity Controlled Optimal Transport
by: Liu, Weijie, et al.
Published: (2025) -
LSMI-Sinkhorn: Semi-supervised Mutual Information Estimation with Optimal Transport
by: Liu, Yanbin, et al.
Published: (2019) -
Task Vector Bases: A Unified and Scalable Framework for Compressed Task Arithmetic
by: Zeng, Siqi, et al.
Published: (2025)