Saved in:
| Main Authors: | Vigouroux, David, Drumetz, Lucas, Fablet, Ronan, Rousseau, François |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2602.02611 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Static and auto-regressive neural emulation of phytoplankton biomass dynamics from physical predictors in the global ocean
by: Lakra, Mahima, et al.
Published: (2026)
by: Lakra, Mahima, et al.
Published: (2026)
Sliced-Wasserstein Distances and Flows on Cartan-Hadamard Manifolds
by: Bonet, Clément, et al.
Published: (2024)
by: Bonet, Clément, et al.
Published: (2024)
TrAISformer -- A Transformer Network with Sparse Augmented Data Representation and Cross Entropy Loss for AIS-based Vessel Trajectory Prediction
by: Nguyen, Duong, et al.
Published: (2021)
by: Nguyen, Duong, et al.
Published: (2021)
HH-SAE: Discovering and Steering Hierarchical Knowledge of Complex Manifolds
by: Wu, Honghan, et al.
Published: (2026)
by: Wu, Honghan, et al.
Published: (2026)
Neural Incremental Data Assimilation
by: Blanke, Matthieu, et al.
Published: (2024)
by: Blanke, Matthieu, et al.
Published: (2024)
Follow the Energy, Find the Path: Riemannian Metrics from Energy-Based Models
by: Béthune, Louis, et al.
Published: (2025)
by: Béthune, Louis, et al.
Published: (2025)
Pullback Flow Matching on Data Manifolds
by: de Kruiff, Friso, et al.
Published: (2024)
by: de Kruiff, Friso, et al.
Published: (2024)
Multi-Path Long-Term Vessel Trajectories Forecasting with Probabilistic Feature Fusion for Problem Shifting
by: Spadon, Gabriel, et al.
Published: (2023)
by: Spadon, Gabriel, et al.
Published: (2023)
The Geometry of Grokking: Norm Minimization on the Zero-Loss Manifold
by: Musat, Tiberiu
Published: (2025)
by: Musat, Tiberiu
Published: (2025)
Geometric Flow Matching for Molecular Conformation Generation via Manifold Decomposition
by: Liu, Yunqing, et al.
Published: (2026)
by: Liu, Yunqing, et al.
Published: (2026)
Neural ocean forecasting from sparse satellite-derived observations: a case-study for SSH dynamics and altimetry data
by: Botvynko, Daria, et al.
Published: (2025)
by: Botvynko, Daria, et al.
Published: (2025)
FlowPath: Learning Data-Driven Manifolds with Invertible Flows for Robust Irregularly-sampled Time Series Classification
by: Oh, YongKyung, et al.
Published: (2025)
by: Oh, YongKyung, et al.
Published: (2025)
Towards impactful challenges: post-challenge paper, benchmarks and other dissemination actions
by: Marot, Antoine, et al.
Published: (2023)
by: Marot, Antoine, et al.
Published: (2023)
GeoIB: Geometry-Aware Information Bottleneck via Statistical-Manifold Compression
by: Wang, Weiqi, et al.
Published: (2026)
by: Wang, Weiqi, et al.
Published: (2026)
Majorization-Minimization Networks for Inverse Problems: An Application to EEG Imaging
by: Tran, Le Minh Triet, et al.
Published: (2026)
by: Tran, Le Minh Triet, et al.
Published: (2026)
Flow Matching on General Geometries
by: Chen, Ricky T. Q., et al.
Published: (2023)
by: Chen, Ricky T. Q., et al.
Published: (2023)
Discovering environments with XRM
by: Pezeshki, Mohammad, et al.
Published: (2023)
by: Pezeshki, Mohammad, et al.
Published: (2023)
A VAE Approach to Sample Multivariate Extremes
by: Lafon, Nicolas, et al.
Published: (2023)
by: Lafon, Nicolas, et al.
Published: (2023)
Discovering Mathematical Formulas from Data via GPT-guided Monte Carlo Tree Search
by: Li, Yanjie, et al.
Published: (2024)
by: Li, Yanjie, et al.
Published: (2024)
Test-time Adaptation of Tiny Recursive Models
by: McGovern, Ronan Killian
Published: (2025)
by: McGovern, Ronan Killian
Published: (2025)
Seeing Unseen: Discover Novel Biomedical Concepts via Geometry-Constrained Probabilistic Modeling
by: Fan, Jianan, et al.
Published: (2024)
by: Fan, Jianan, et al.
Published: (2024)
Learning a Generic Value-Selection Heuristic Inside a Constraint Programming Solver
by: Marty, Tom, et al.
Published: (2023)
by: Marty, Tom, et al.
Published: (2023)
Discovering Behavioral Predispositions in Data to Improve Human Activity Recognition
by: Popko, Maximilian, et al.
Published: (2022)
by: Popko, Maximilian, et al.
Published: (2022)
Discovering Association Rules in High-Dimensional Small Tabular Data
by: Karabulut, Erkan, et al.
Published: (2025)
by: Karabulut, Erkan, et al.
Published: (2025)
Partial Parameter Updates for Efficient Distributed Training
by: Filippova, Anastasiia, et al.
Published: (2025)
by: Filippova, Anastasiia, et al.
Published: (2025)
MENDR: Manifold Explainable Neural Data Representations
by: Chen, Matthew, et al.
Published: (2025)
by: Chen, Matthew, et al.
Published: (2025)
Explanova: Automatically Discover Data Insights in N \times M Table via XAI Combined LLM Workflow
by: Huang, Yiming
Published: (2026)
by: Huang, Yiming
Published: (2026)
Diffusion Models and the Manifold Hypothesis: Log-Domain Smoothing is Geometry Adaptive
by: Farghly, Tyler, et al.
Published: (2025)
by: Farghly, Tyler, et al.
Published: (2025)
Predict Training Data Quality via Its Geometry in Metric Space
by: Ba, Yang, et al.
Published: (2025)
by: Ba, Yang, et al.
Published: (2025)
Crafting Imperceptible On-Manifold Adversarial Attacks for Tabular Data
by: He, Zhipeng, et al.
Published: (2025)
by: He, Zhipeng, et al.
Published: (2025)
BOAD: Discovering Hierarchical Software Engineering Agents via Bandit Optimization
by: Xu, Iris, et al.
Published: (2025)
by: Xu, Iris, et al.
Published: (2025)
Flow-Direct: Feedback-Efficient and Reusable Guidance for Flow Models via Non-Parametric Guidance Field
by: Tan, Kim Yong, et al.
Published: (2026)
by: Tan, Kim Yong, et al.
Published: (2026)
Manifold Sampling via Entropy Maximization
by: Braun, Cornelius V., et al.
Published: (2026)
by: Braun, Cornelius V., et al.
Published: (2026)
Learning to Discover at Test Time
by: Yuksekgonul, Mert, et al.
Published: (2026)
by: Yuksekgonul, Mert, et al.
Published: (2026)
Event Classification of Accelerometer Data for Industrial Package Monitoring with Embedded Deep Learning
by: Renault, Manon, et al.
Published: (2025)
by: Renault, Manon, et al.
Published: (2025)
Probe-Based Data Attribution: Discovering and Mitigating Undesirable Behaviors in LLM Post-Training
by: Xiao, Frank, et al.
Published: (2026)
by: Xiao, Frank, et al.
Published: (2026)
FlowKac: An Efficient Neural Fokker-Planck solver using Temporal Normalizing Flows and the Feynman-Kac Formula
by: Bekri, Naoufal El, et al.
Published: (2025)
by: Bekri, Naoufal El, et al.
Published: (2025)
Preventing Model Collapse via Contraction-Conditioned Neural Filters
by: Han, Zongjian, et al.
Published: (2025)
by: Han, Zongjian, et al.
Published: (2025)
Discovering Hidden Algebraic Structures via Transformers with Rank-Aware Beam GRPO
by: Lee, Jaeha, et al.
Published: (2025)
by: Lee, Jaeha, et al.
Published: (2025)
CINDI: Conditional Imputation and Noisy Data Integrity with Flows in Power Grid Data
by: Baumgartner, David, et al.
Published: (2026)
by: Baumgartner, David, et al.
Published: (2026)
Similar Items
-
Static and auto-regressive neural emulation of phytoplankton biomass dynamics from physical predictors in the global ocean
by: Lakra, Mahima, et al.
Published: (2026) -
Sliced-Wasserstein Distances and Flows on Cartan-Hadamard Manifolds
by: Bonet, Clément, et al.
Published: (2024) -
TrAISformer -- A Transformer Network with Sparse Augmented Data Representation and Cross Entropy Loss for AIS-based Vessel Trajectory Prediction
by: Nguyen, Duong, et al.
Published: (2021) -
HH-SAE: Discovering and Steering Hierarchical Knowledge of Complex Manifolds
by: Wu, Honghan, et al.
Published: (2026) -
Neural Incremental Data Assimilation
by: Blanke, Matthieu, et al.
Published: (2024)