[CVPR] Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective
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Updated
Jul 20, 2022 - Python
[CVPR] Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective
Tutorials for the synthetic control method for causal inference using PyMC
A deterministic causal simulation engine for persistent fantasy worlds.
Formal specification of the Event Tree Definition Language (ETDL) v1.0.0 — a declarative design-time DSL for reliability-aware event-driven business processes, modeling event trees (IEC 62502) and fault trees (IEC 61025) over AsyncAPI 3.0.
Coincidence Analysis (CNA) — configurational comparative method of causal inference. Community hub: method, software, literature, events, news.
Toy 3. An interactive model of the alignment phase ratio Φ = C / A_causal — the variable governing whether AI capability outpaces system-awareness before the crossing to stability can occur. Includes falsification test, oracle counterfactual, and point-of-no-return detection. Built to accompany The Alignment of Intelligence, Article 3: The Crossing
Unaligned AI-alignment research prototype: recursive causal governance, uncertainty, reproducible Python and an interactive model.
Time-causal financial generative models: refactored TC-VAE baselines with causal VQ/RVQ tokenizers, token priors, S&P500/VIX, Hawkes/SVMHJD, multi-dimensional benchmarks, and path-risk diagnostics.
Fall 2020 - Computational Medicine - course project
A constructive framework that systematically integrates causal structures across domains, enabling adaptive reasoning, predictive modeling, and cross-contextual understanding in AI and data systems. 構成的因果統合理論は、因果構造を領域横断的に統合し、AIやデータシステムにおける適応的推論・予測モデリング・文脈横断的理解を可能にする枠組みです。
Models4PT is an open research platform for building, curating, integrating, and maintaining computable population-level causal knowledge in physical therapy.
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