Copertina

Relative Geometry of Neural Forecasters: Linking Accuracy and Alignment in Learned Latent Geometry

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Kucukahmetler, Deniz, Hemmann, Maximilian Jean, von Aehrenfeld, Julian Mosig, Amthor, Maximilian, Deubel, Christian, Scherf, Nico, Taha, Diaaeldin
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Machine Learning Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Multimodal Recurrent Ensembles for Predicting Brain Responses to Naturalistic Movies (Algonauts 2025)
di: Eren, Semih, et al.
Pubblicazione: (2025)

The Geometry of Nonlinear Reinforcement Learning
di: Milosevic, Nikola, et al.
Pubblicazione: (2025)

Untersuchungen zur Wirtschaftlichkeit von Building Information Modeling (BIM) in der Planungs- und Realisierungsphase von Bauprojekten
di: Deubel, Maximilian
Pubblicazione: (2022)

Grid-World Representations in Transformers Reflect Predictive Geometry
di: Brenner, Sasha, et al.
Pubblicazione: (2026)

Immersive Visualization of Flat Surfaces Using Ray Marching
di: Lander, Fabian, et al.
Pubblicazione: (2025)

Geometry of Polynomial Neural Networks
di: Kubjas, Kaie, et al.
Pubblicazione: (2024)

Source-Free Domain Adaptation for SSVEP-based Brain-Computer Interfaces
di: Guney, Osman Berke, et al.
Pubblicazione: (2023)

Geometry matters: insights from Ollivier Ricci Curvature and Ricci Flow into representational alignment through Ollivier-Ricci Curvature and Ricci Flow
di: Torbati, Nahid, et al.
Pubblicazione: (2025)

Connecting Neural Models Latent Geometries with Relative Geodesic Representations
di: Yu, Hanlin, et al.
Pubblicazione: (2025)

Demystifying Topological Message-Passing with Relational Structures: A Case Study on Oversquashing in Simplicial Message-Passing
di: Taha, Diaaeldin, et al.
Pubblicazione: (2025)

Predicting Microbial Interactions Using Graph Neural Networks
di: Gholamzadeh, Elham, et al.
Pubblicazione: (2025)

Geometry Matters in Planar Storyplans
di: Dobler, Alexander, et al.
Pubblicazione: (2025)

A World of Digital Media Online.
di: Amthor, Geoff
Pubblicazione: (1995)

Fair Distributed Machine Learning with Imbalanced Data as a Stackelberg Evolutionary Game
di: Niehaus, Sebastian, et al.
Pubblicazione: (2024)

PALP: A Package for Analyzing Lattice Polytopes with Applications to Toric Geometry
di: Kreuzer, Maximilian, et al.
Pubblicazione: (2002)

Gamma-from-Mono: Road-Relative, Metric, Self-Supervised Monocular Geometry for Vehicular Applications
di: Elazab, Gasser, et al.
Pubblicazione: (2025)

Certifying Arithmeticity for Two Degree-Six Symplectic Hypergeometric Monodromy Groups
di: Riestenberg, J. Maxwell, et al.
Pubblicazione: (2026)

Beyond Activation Alignment: The Geometry of Neural Sensitivity
di: Yavari, Amirhossein, et al.
Pubblicazione: (2026)

Revealing the Learning Process in Reinforcement Learning Agents Through Attention-Oriented Metrics
di: Beylier, Charlotte, et al.
Pubblicazione: (2024)

Energy Minimization in Fluid Flow through Tubes and Networks of Various Geometries
di: Sochi, Taha
Pubblicazione: (2025)

Functional Latent Dynamics for Irregularly Sampled Time Series Forecasting
di: Klötergens, Christian, et al.
Pubblicazione: (2024)

Over-the-Air Learning-based Geometry Point Cloud Transmission
di: Bian, Chenghong, et al.
Pubblicazione: (2023)

Neural Snowflakes: Universal Latent Graph Inference via Trainable Latent Geometries
di: Borde, Haitz Sáez de Ocáriz, et al.
Pubblicazione: (2023)

TaxonRL: Reinforcement Learning with Intermediate Rewards for Interpretable Fine-Grained Visual Reasoning
di: von Klinski, Maximilian, et al.
Pubblicazione: (2026)

Open Problem: Active Representation Learning
di: Milosevic, Nikola, et al.
Pubblicazione: (2024)

Relatives Geometries
di:
Pubblicazione: (2022)

Relatives Geometries
di:
Pubblicazione: (2022)

Relatives Geometries
di:
Pubblicazione: (2022)

Relatives Geometries
di:
Pubblicazione: (2022)

Relatives Geometries
di:
Pubblicazione: (2022)

Relatives Geometries
di: Armando M. V. Corro
Pubblicazione: (2022)

Probing Electrostatic Disorder via g-Tensor Geometry
di: Valvo, Edmondo, et al.
Pubblicazione: (2026)

Sheaf Neural Networks on SPD Manifolds: Second-Order Geometric Representation Learning
di: Peng, Yuhan, et al.
Pubblicazione: (2026)

Embedding Safety into RL: A New Take on Trust Region Methods
di: Milosevic, Nikola, et al.
Pubblicazione: (2024)

Central Path Proximal Policy Optimization
di: Milosevic, Nikola, et al.
Pubblicazione: (2025)

LSD-3D: Large-Scale 3D Driving Scene Generation with Geometry Grounding
di: Ost, Julian, et al.
Pubblicazione: (2025)

(Table A-3b to A-3f) Biomass of macrobenthos in surface sediments in the Arctic Ocean
di: Deubel, Hendrik
Pubblicazione: (2010)

(Table A-2.1 to A-2.7) Abundance of macrobenthos in surface sediments in the Arctic Ocean
di: Deubel, Hendrik
Pubblicazione: (2010)

Visual Bias in Simulated Users: The Impact of Luminance and Contrast on Reinforcement Learning-based Interaction
di: Selder, Hannah, et al.
Pubblicazione: (2026)

Latent Geometry as a Structural Monitor: Eigenspace Alignment for Anomaly Detection in Anonymity Networks
di: Chhabra, Vaibhav
Pubblicazione: (2026)