Official code of the paper "BISCUIT: Causal Representation Learning from Binary Interactions" (UAI 2023)
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Mar 12, 2024 - Python
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identifiability
Here are 35 public repositories matching this topic...
LikelihoodProfiler is a Julia package for practical identifiability analysis and confidence intervals estimation.
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Jul 9, 2026 - Jupyter Notebook
causaleffect: R package for identifying causal effects.
r graphs identification igraph causal-inference causal-models identifiability directed-acyclic-graph causality-algorithms
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Sep 19, 2025 - TeX
Codebase for the paper: Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts
concepts supervised-learning vae concept unsupervised-learning identifiability disentanglement disentangled-representations xai vae-pytorch neurosymbolic neurips2023
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Mar 4, 2024 - Python
emgr -- EMpirical GRamian Framework
matlab reduction octave control-systems control-engineering unsupervised-learning nonlinear-dynamics system-identification model-reduction cross-gramian controllability observability empirical-gramians model-order-reduction dimension-reduction dmd identifiability system-gramians minimality parameter-space-reduction
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Sep 30, 2023 - MATLAB
cfid: R package for identifying counterfactuals.
causal-inference causal-models identifiability directed-acyclic-graph counterfactual causality-algorithms counterfactuals
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Dec 11, 2025 - R
[ICLR 2023] Multimodal3DIdent: a multimodal dataset of image/text pairs generated from controllable ground truth factors
representation-learning identifiability multimodal-learning multi-view-learning machine-learning-datasets
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Mar 25, 2023 - Python
Code Repo for "Regularized estimation of high-dimensional FAVAR models", JMLR, 2020
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Feb 10, 2024 - R
🐟 ituna – tune machine learning models for empirical identifiability and consistency
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Feb 27, 2026 - Python
Package for practical identifiability/predictability analysis in Python
python3 confidence-intervals likelihood identifiability confidence-estimation identifiability-analysis
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Jun 24, 2026 - Python
Identifiability and experimental design in perturbation studies
reverse-engineering systems-biology network-inference experimental-design identifiability maximum-flow matroid
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Sep 25, 2020 - Python
When performance survives noise, identifiability may not.
quantum verification identifiability quantum-machine-learning noise-robustness variational-quantum-circuits quantum-machine-learning-simulation neural-quantum-models
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Jan 19, 2026 - Python
Adaptive quantum networks in practice: superposed graph topologies and operator-space spatialization, with reproducible hardware-relevant demos and figures.
reproducible-research numpy inverse-problems identifiability quantum-machine-learning qiskit graph-neural-networks quantum-neural-networks mixture-models pennylane quantum-compilation adaptive-quantum-networks superposed-graph-topologies superpositional-topologies topology-learning model-identifiability support-recovery operator-space deterministic-experiments hardware-aware-ml
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Jan 19, 2026 - Python
Implementation for the paper "Doubly robust identification of treatment effects from multiple environments"
machine-learning causal-inference observational-study treatment-effects identifiability double-robust
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Jan 19, 2026 - Python
Independent Component Analysis in Linear Time-Invariant Systems
machine-learning machine-learning-algorithms artificial-intelligence lti gaussian identification control-systems representation-learning causality causal-inference identifiability
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Dec 22, 2023 - Python
Identifiability of AMP chain graph
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Oct 18, 2021 - MATLAB
Inverting the antibody affinity-maturation selection operator f = sigma . phi . a: design archive of two orthogonal lines, phi simulation-based inference + sigma analytic inversion, with a three-line progress presentation
computational-immunology identifiability inverse-problem simulation-based-inference germinal-center ai-for-science antibody-affinity-maturation selection-operator
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Jun 26, 2026 - Jupyter Notebook
End-to-End PyTorch implementation of Chang & Kim's (2026) iVDFM pipeline, Includes: amortized encoder, RegimeNet simplex embeddings, Laplace PriorNet, diagonal AR(p) companion-form dynamics, and injective MLP decoder. Trained via ELBO with reparameterized Laplace innovations. Benchmarked against iTransformer and TimeMixer baselines.
deep-learning time-series pytorch impulse-response econometrics representation-learning variational-inference causal-inference variational-autoencoder identifiability structural-econometrics non-stationary state-space-model time-series-forecasting probabilistic-forecasting information-geometry multivariate-time-series structural-causal-model research-replication dynamic-factor-model
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Apr 25, 2026 - Jupyter Notebook
Code repository for "Structural Discovery with Partial Ordering Information for Time-Dependent Data with Convergence Guarantees", JCGS, 2024
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Jan 26, 2025 - Python
Profile Likelihood Analysis in Matlab
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Jun 28, 2017 - MATLAB
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