Rose-STL-Lab / AutoSTPPLinks
Automatic Integration for Neural Spatio-Temporal Point Process models (AI-STPP) is a new paradigm for exact, efficient, non-parametric inference of point process. It is capable of learning complicated underlying intensity functions, like a damped sine wave.
☆25Updated last year
Alternatives and similar repositories for AutoSTPP
Users that are interested in AutoSTPP are comparing it to the libraries listed below
Sorting:
- Deep Networks Grok All the Time and Here is Why☆38Updated last year
- Generative cellular automaton-like learning environments for RL.☆19Updated 10 months ago
- Quantification of Uncertainty with Adversarial Models☆29Updated 2 years ago
- ☆34Updated last year
- A library implementing the kernels for and experiments using extrinsic gauge equivariant vector field Gaussian Processes☆25Updated 4 years ago
- Official Implementation of the ICML 2023 paper: "Neural Wave Machines: Learning Spatiotemporally Structured Representations with Locally …☆77Updated 2 years ago
- Repository for the PopulAtion Parameter Averaging (PAPA) paper☆28Updated last year
- JAX implementation of "Fine-Tuning Language Models with Just Forward Passes"☆19Updated 2 years ago
- A scalable implementation of diffusion and flow-matching with XGBoost models, applied to calorimeter data.☆18Updated last year
- code associated with paper "Sparse Bayesian Optimization"☆26Updated 2 years ago
- Experimental scripts for researching data adaptive learning rate scheduling.☆22Updated 2 years ago
- Official Implementation of NeurIPS'23 Paper "Cross-Episodic Curriculum for Transformer Agents"☆31Updated 2 years ago
- Jax implementation of x-LSTM: Extended Long Short-Term Memory by Beck et al. (2024)☆17Updated last year
- ☆33Updated last year
- A Library for Scaling Mixed-Integer Optimization-Based Machine Learning.☆12Updated last year
- Implementation of Gradient Agreement Filtering, from Chaubard et al. of Stanford, but for single machine microbatches, in Pytorch☆25Updated 10 months ago
- Code for "Counterfactual Token Generation in Large Language Models", Arxiv 2024.☆31Updated last year
- Official implementation of the paper "Interventions, Where and How? Experimental Design for Causal Models at Scale", NeurIPS 2022.☆20Updated 2 years ago
- ☆10Updated 2 years ago
- ☆32Updated last year
- PAC-Bayes generalization certificates for ICP☆21Updated 2 years ago
- Unofficial implementation of Conformal Language Modeling by Quach et al☆29Updated 2 years ago
- ☆40Updated 2 years ago
- ☆11Updated 2 years ago
- Neural Optimal Transport with Lagrangian Costs☆60Updated 6 months ago
- The repository for the Deep Learning practicals of the ASCI Computer Vision by Learning course 2022☆14Updated 3 years ago
- Official repo for BWLer: Barycentric Weight Layer☆27Updated 2 months ago
- Official repository for our ICLR 2021 paper Evaluating the Disentanglement of Deep Generative Models with Manifold Topology☆36Updated 4 years ago
- Repo for the paper "Landscape Surrogate Learning Decision Losses for Mathematical Optimization Under Partial Information"☆38Updated 2 years ago
- Implementation of Spectral State Space Models☆16Updated last year