approximate message passing
- Bayes optimal learning of attention-indexed models
- Generative diffusion for perceptron problems: statistical physics analysis and efficient algorithms
- Learning with Restricted Boltzmann Machines: Asymptotics of AMP and GD in High Dimensions
- Nonlinear Laplacians: Tunable principal component analysis under directional prior information
- Self-Boost via Optimal Retraining: An Analysis via Approximate Message Passing
- Time-Embedded Algorithm Unrolling for Computational MRI