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.
☆24Updated 9 months ago
Alternatives and similar repositories for AutoSTPP
Users that are interested in AutoSTPP are comparing it to the libraries listed below
Sorting:
- Generative cellular automaton-like learning environments for RL.☆19Updated 6 months ago
- Deep Networks Grok All the Time and Here is Why☆37Updated last year
- ☆33Updated last year
- ☆31Updated last year
- PAC-Bayes generalization certificates for ICP☆21Updated last year
- Repository for the PopulAtion Parameter Averaging (PAPA) paper☆26Updated last year
- Quantification of Uncertainty with Adversarial Models☆30Updated 2 years ago
- Official Implementation of the ICML 2023 paper: "Neural Wave Machines: Learning Spatiotemporally Structured Representations with Locally …☆72Updated 2 years ago
- Implementation of Spectral State Space Models☆16Updated last year
- Fast singularity detection with kernel☆35Updated last year
- Unofficial but Efficient Implementation of "Mamba: Linear-Time Sequence Modeling with Selective State Spaces" in JAX☆85Updated last year
- Official Implementation of NeurIPS'23 Paper "Cross-Episodic Curriculum for Transformer Agents"☆31Updated last year
- JAX implementation of "Fine-Tuning Language Models with Just Forward Passes"☆19Updated 2 years ago
- A simple example of VAEs with KANs☆12Updated last year
- Official repository for our ICLR 2021 paper Evaluating the Disentanglement of Deep Generative Models with Manifold Topology☆36Updated 4 years ago
- Jax like function transformation engine but micro, microjax☆33Updated 9 months ago
- A library implementing the kernels for and experiments using extrinsic gauge equivariant vector field Gaussian Processes☆25Updated 3 years ago
- The Energy Transformer block, in JAX☆59Updated last year
- Exploration into the Scaling Value Iteration Networks paper, from Schmidhuber's group☆36Updated 10 months ago
- Code for "Counterfactual Token Generation in Large Language Models", Arxiv 2024.☆28Updated 8 months ago
- Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories☆42Updated 2 years ago
- Multi-Agent Verification: Scaling Test-Time Compute with Multiple Verifiers☆19Updated 5 months ago
- Pytorch implementation of SuperPolyak subgradient method.☆43Updated 2 years ago
- Implementation of Gradient Agreement Filtering, from Chaubard et al. of Stanford, but for single machine microbatches, in Pytorch☆25Updated 6 months ago
- Unofficial implementation of Conformal Language Modeling by Quach et al☆29Updated 2 years ago
- ☆31Updated last year
- Portfolio REgret for Confidence SEquences☆20Updated 7 months ago
- Repo for the paper "Landscape Surrogate Learning Decision Losses for Mathematical Optimization Under Partial Information"☆36Updated 2 years ago
- Code for minimum-entropy coupling.☆32Updated last year
- Official implementation of E(n)-equivariant Graph Neural Cellular Automata☆29Updated last year