parameterizations
- A geometric framework for momentum-based optimizers for low-rank training
- Don't be lazy: CompleteP enables compute-efficient deep transformers
- Efficient Bayesian Experiment Design with Equivariant Networks
- Fixed-Point RNNs: Interpolating from Diagonal to Dense
- ROOT: Rethinking Offline Optimization as Distributional Translation via Probabilistic Bridge