Universal Sample-Based Embeddings of Higher-Order Objects
cs.LG, cs.AI
Submitted: 2026-10-14
Updated: 2026-10-14
Code: https://github.com/ax-ml/jax
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Density estimation using Real NVP
- Towards a Neural Statistician
- Neural Processes
- Zero-Shot Reinforcement Learning via Function Encoders
- Function Encoders: A Principled Approach to Transfer Learning in Hilbert Spaces
- Auto-Encoding Variational Bayes
- Fourier Neural Operator for Parametric Partial Differential Equations
- Flow Matching for Generative Modeling
- graph2vec: Learning Distributed Representations of Graphs
- DiGress: Discrete Denoising diffusion for graph generation
Related papers
- Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
- AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
- Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
- Convergence issues in Relational Concept Analysis based on AOC-posets
- Beliefs Beyond Posteriors: The Predictive Cost of ELBO Binding
- Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks