:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Kleiber, Christian, Oliver, William H., Buck, Tobias
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2411.08557
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Fast Likelihood-Free Parameter Estimation for Lévy Processes
by: Coloma, Nicolas, et al.
Published: (2025)

$\texttt{SynC}$: Synergistic Boosting of Structure and Representation for Deep Graph Clustering
by: Ding, Shifei, et al.
Published: (2024)

Modeling massive highly-multivariate nonstationary spatial data with the basis graphical lasso
by: Krock, Mitchell, et al.
Published: (2021)

$\texttt{causalAssembly}$: Generating Realistic Production Data for Benchmarking Causal Discovery
by: Göbler, Konstantin, et al.
Published: (2023)

Auto-Adaptive PINNs with Applications to Phase Transitions
by: Buck, Kevin, et al.
Published: (2025)

Grokking and Generalization Collapse: Insights from \texttt{HTSR} theory
by: Prakash, Hari K., et al.
Published: (2025)

AMOSL: Adaptive Modality-wise Structure Learning in Multi-view Graph Neural Networks For Enhanced Unified Representation
by: Liang, Peiyu, et al.
Published: (2024)

\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party
by: Rahimi, Ali, et al.
Published: (2025)

$\texttt{lrnnx}$: A library for Linear RNNs
by: Bania, Karan, et al.
Published: (2026)

Concept Factorization via Self-Representation and Adaptive Graph Structure Learning
by: Yang, Zhengqin, et al.
Published: (2025)

Revisiting Bisimulation Metric for Robust Representations in Reinforcement Learning
by: Zhang, Leiji, et al.
Published: (2025)

$\texttt{MiniMol}$: A Parameter-Efficient Foundation Model for Molecular Learning
by: Kläser, Kerstin, et al.
Published: (2024)

SDSC:A Structure-Aware Metric for Semantic Signal Representation Learning
by: Lee, Jeyoung, et al.
Published: (2025)

CODES: Benchmarking Coupled ODE Surrogates
by: Janssen, Robin, et al.
Published: (2024)

Emulating Radiative Transfer in Astrophysical Environments
by: Rost, Rune, et al.
Published: (2025)

Enhancing Graph Representation Learning with Localized Topological Features
by: Yan, Zuoyu, et al.
Published: (2025)

Adaptive Log-Euclidean Metrics for SPD Matrix Learning
by: Chen, Ziheng, et al.
Published: (2023)

$\texttt{dattri}$: A Library for Efficient Data Attribution
by: Deng, Junwei, et al.
Published: (2024)

$\texttt{SEM-CTRL}$: Semantically Controlled Decoding
by: Albinhassan, Mohammad, et al.
Published: (2025)

Continual Learning of Domain-Invariant Representations
by: Janetzky, Pascal, et al.
Published: (2026)

Towards Reproducibility in Predictive Process Mining: SPICE -- A Deep Learning Library
by: Stritzel, Oliver, et al.
Published: (2025)

Adaptive Swarm Mesh Refinement using Deep Reinforcement Learning with Local Rewards
by: Freymuth, Niklas, et al.
Published: (2024)

Generalization of Quantum Machine Learning Models Using Quantum Fisher Information Metric
by: Haug, Tobias, et al.
Published: (2023)

A User's Guide to $\texttt{KSig}$: GPU-Accelerated Computation of the Signature Kernel
by: Tóth, Csaba, et al.
Published: (2025)

Evaluating Local Explainability Metrics for Machine Learning Models on Tabular Data
by: Pereira, Tomás, et al.
Published: (2026)

On the Convergence of Locally Adaptive and Scalable Diffusion-Based Sampling Methods for Deep Bayesian Neural Network Posteriors
by: Rensmeyer, Tim, et al.
Published: (2024)

Representer Theorems for Metric and Preference Learning: Geometric Insights and Algorithms
by: Morteza, Peyman
Published: (2023)

GLProtein: Global-and-Local Structure Aware Protein Representation Learning
by: Liu, Yunqing, et al.
Published: (2025)

Dual-Decoupling Learning and Metric-Adaptive Thresholding for Semi-Supervised Multi-Label Learning
by: Xiao, Jia-Hao, et al.
Published: (2024)

Enhancing Federated Graph Learning via Adaptive Fusion of Structural and Node Characteristics
by: Gao, Xianjun, et al.
Published: (2024)

\texttt{R$^\textbf{2}$AI}: Towards Resistant and Resilient AI in an Evolving World
by: Sun, Youbang, et al.
Published: (2025)

Causal Representation Learning on High-Dimensional Data: Benchmarks, Reproducibility, and Evaluation Metrics
by: Sadeghi, Alireza, et al.
Published: (2026)

Dynamic Sheaf Diffusion Networks with Adaptive Local Structure for Heterogeneous Spatio-Temporal Graph Learning
by: Mostafa, Abeer, et al.
Published: (2026)

Structural Learning Theory: A Metric-Topology Factorization Approach
by: Li, Xin
Published: (2026)

Locally Adaptive Federated Learning
by: Mukherjee, Sohom, et al.
Published: (2023)

Provably Adaptive Average Reward Reinforcement Learning for Metric Spaces
by: Kar, Avik, et al.
Published: (2024)

$\texttt{AMEND++}$: Benchmarking Eligibility Criteria Amendments in Clinical Trials
by: Das, Trisha, et al.
Published: (2026)

Newton Losses: Using Curvature Information for Learning with Differentiable Algorithms
by: Petersen, Felix, et al.
Published: (2024)

Lagrangian neural ODEs: Measuring the existence of a Lagrangian with Helmholtz metrics
by: Wolf, Luca, et al.
Published: (2025)

Beyond Rigid Geometries: The Spline-Pullback Metric for Universal Diffeomorphic SPD Representation Learning
by: Das, Tushar, et al.
Published: (2026)