ALICE: In-context, Zero-shot, Mutual Information Estimation
cs.LG
Submitted: 2026-09-28
Updated: 2026-09-29
Code: https://github.com/eurecom-probai/alice
Terminology
Sources
- MINE: Mutual Information Neural Estimation
- Beyond Normal: On the Evaluation of Mutual Information Estimators
- Density estimation using Real NVP
- MINDE: Mutual Information Neural Diffusion Estimation
- Efficient Estimation of Mutual Information for Strongly Dependent Variables
- Information-Theoretic Diffusion
- Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks
- On Variational Bounds of Mutual Information
- Hopfield Networks is All You Need
- In-context denoising with one-layer transformers: connections between attention and associative memory retrieval
- Understanding the Limitations of Variational Mutual Information Estimators
- Maximum Likelihood Training of Score-Based Diffusion Models
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