Rose-STL-Lab / AutoSTPP
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.
☆24Updated 4 months ago
Alternatives and similar repositories for AutoSTPP:
Users that are interested in AutoSTPP are comparing it to the libraries listed below
- ☆11Updated 8 months ago
- Official implementation of E(n)-equivariant Graph Neural Cellular Automata☆25Updated 9 months ago
- PAC-Bayes generalization certificates for ICP☆20Updated last year
- ☆31Updated 10 months ago
- Official repository for the paper "Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules" (…☆19Updated 2 years ago
- Implementation of Spectral State Space Models☆16Updated 11 months ago
- Official Implementation of NeurIPS'23 Paper "Cross-Episodic Curriculum for Transformer Agents"☆31Updated last year
- Source code for the paper "Positional Attention: Out-of-Distribution Generalization and Expressivity for Neural Algorithmic Reasoning"☆14Updated 2 weeks ago
- A scalable implementation of diffusion and flow-matching with XGBoost models, applied to calorimeter data.☆17Updated 3 months ago
- ☆46Updated last month
- Generative cellular automaton-like learning environments for RL.☆19Updated 2 weeks ago
- ☆13Updated last year
- Implementation of Gradient Agreement Filtering, from Chaubard et al. of Stanford, but for single machine microbatches, in Pytorch☆23Updated 3 weeks ago
- This code implements a Radial Basis Function (RBF) based Kolmogorov-Arnold Network (KAN) for function approximation.☆26Updated 8 months ago
- ☆16Updated 9 months ago
- Code for "Accelerating Training with Neuron Interaction and Nowcasting Networks" [to appear at ICLR 2025]☆18Updated last month
- Quantification of Uncertainty with Adversarial Models☆27Updated last year
- ☆10Updated 2 years ago
- Code repo for ICLR 24 BlogPost titled "Building Diffusion Model's theory from ground up"☆16Updated last year
- Repository for the PopulAtion Parameter Averaging (PAPA) paper☆26Updated 10 months ago
- Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification☆11Updated last year
- Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"☆42Updated last year
- A library implementing the kernels for and experiments using extrinsic gauge equivariant vector field Gaussian Processes☆25Updated 3 years ago
- A simple example of VAEs with KANs☆12Updated 8 months ago
- JAX implementation of "Fine-Tuning Language Models with Just Forward Passes"☆19Updated last year
- [NeurIPS 2024, spotlight] Multivariate Learned Adaptive Noise for Diffusion Models☆15Updated 2 months ago
- Official repository for the paper "Goal-Conditioned Generators of Deep Policies"☆11Updated 2 years ago
- Code for "Continuous-Time Meta-Learning with Forward Mode Differentiation" (ICLR 2022)☆27Updated 2 years ago
- A short introduction to Conformal Prediction methods, with a few examples for classification and regression from the Astrophysical domain…☆12Updated 7 months ago