ermongroup / self-similarity-priorView external linksLinks
Self-Similarity Priors: Neural Collages as Differentiable Fractal Representations
☆29Nov 26, 2022Updated 3 years ago
Alternatives and similar repositories for self-similarity-prior
Users that are interested in self-similarity-prior are comparing it to the libraries listed below
Sorting:
- Probabilistic Solution of Differential Equations☆13Jun 19, 2022Updated 3 years ago
- ☆11Apr 14, 2022Updated 3 years ago
- Official repository for the paper: "Trees with Attention for Set Prediction Tasks" (ICML21)☆10Jan 19, 2022Updated 4 years ago
- Framework for stochastic modelling in systems biology☆12Aug 11, 2022Updated 3 years ago
- Code for the paper "What Makes Better Augmentation Strategies? Augment Difficult but Not too Different" (ICLR 22)☆12Aug 28, 2023Updated 2 years ago
- Inference on non-linear dynamical systems written in JAX☆11Aug 20, 2020Updated 5 years ago
- Materials for a proposed Causal Inference Tutorial session at SciPy 2023☆12Jul 8, 2023Updated 2 years ago
- Pytorch (PyG) and Tensorflow (Keras/Spektral) implementation of Total Variation Graph Neural Network (TVGNN), as presented at ICML 2023.☆20Mar 15, 2025Updated 11 months ago
- This is an article about using variational autoencoders for the generation of new data. It contains the code for generating the plots and…☆12Feb 15, 2021Updated 5 years ago
- [ICML 2019] The Anisotropic Noise in Stochastic Gradient Descent: Its Behavior of Escaping from Sharp Minima and Regularization Effects☆15Apr 12, 2020Updated 5 years ago
- An adaptive training algorithm for residual network☆17Aug 22, 2020Updated 5 years ago
- This is the official codebase of `Exploring Generative Neural Temporal Point Process' (Accepted by TMLR).☆21May 22, 2023Updated 2 years ago
- Graph Transformers for Large Graphs☆22Apr 26, 2024Updated last year
- Official repository for the paper "Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules" (…☆23Jun 11, 2025Updated 8 months ago
- Official Implementation of Half-Hop☆20Oct 10, 2023Updated 2 years ago
- ☆22Aug 14, 2021Updated 4 years ago
- [CVPR 2022] "The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy" by Tianlong C…☆25Mar 9, 2022Updated 3 years ago
- RecZilla: Metalearning for algorithm selection on Recommender Systems☆25Oct 21, 2023Updated 2 years ago
- A basic implementation of the paper Eigengame : PCA as a Nash Equilibrium☆21Jun 7, 2021Updated 4 years ago
- Official Code Repository for the paper "Graph Ordering Attention Networks"☆23Dec 18, 2023Updated 2 years ago
- [NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)☆23Dec 9, 2020Updated 5 years ago
- Implementation of Consistency Models (Song et al 2023) for few-step image generation in Jax.☆19Jun 11, 2023Updated 2 years ago
- Code for Goal-Aware Prediction: Learning to Model what Matters☆20Jul 15, 2020Updated 5 years ago
- Repo reproducing experimental results in "Addressing the Topological Defects of Disentanglement"☆23Jul 15, 2022Updated 3 years ago
- ☆23Feb 4, 2023Updated 3 years ago
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆25Mar 30, 2021Updated 4 years ago
- [ICML 2023] Reflected Diffusion Models (https://arxiv.org/abs/2304.04740)☆159Oct 19, 2023Updated 2 years ago
- Port-Hamiltonian Approach to Neural Network Training☆27Dec 11, 2019Updated 6 years ago
- Implementation of "Fast and Flexible Temporal Point Processes with Triangular Maps" (Oral @ NeurIPS 2020)☆23Dec 1, 2023Updated 2 years ago
- Lipschitz Recurrent Neural Networks☆30Jun 28, 2021Updated 4 years ago
- ☆36Apr 28, 2025Updated 9 months ago
- A concurrent and possibly highly parallel training environment for Reinforcement Learning Trading Bot☆22Dec 8, 2022Updated 3 years ago
- PiRank: Learning to Rank via Differentiable Sorting☆61Mar 24, 2023Updated 2 years ago
- ☆63Feb 22, 2023Updated 2 years ago
- Official code for "Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving", ICML 2021☆29Sep 25, 2021Updated 4 years ago
- Exploring how to to deal with uncertain inputs with gaussian process regression models.☆27Apr 16, 2021Updated 4 years ago
- Intelligent-Computing-Lab-Panda / Exploring-Temporal-Information-Dynamics-in-Spiking-Neural-NetworksPyTorch Implementation of Exploring Temporal Information Dynamics in Spiking Neural Networks (AAAI23)☆31Nov 25, 2022Updated 3 years ago
- Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)☆122May 11, 2021Updated 4 years ago
- Addressing the problem of predicting crime occurrence based on historic records☆11Nov 27, 2019Updated 6 years ago