012026 Preprint · Deep Learning
TimeBraid: Unifying Time Series and Language for Understanding and Forecasting
Understand, forecast, and shape time series with language.
Code
Model
02Dec 2025 · Causal Learning
Transformer Is Inherently a Causal Learner
We reveal that transformers trained autoregressively naturally encode causal structures — gradient attributions directly recover underlying causal graphs without any explicit causal objectives.
Paper
03Feb 2025 · World Models · Causal Learning
WM3C: World Modeling with Compositional Causal Components
A reinforcement learning framework that generalizes to unseen environments by learning language-controlled causal components and recombining them — with identifiability guarantees.
arXiv
04Apr 2025 · Agents · Causal Learning
Causal-Copilot: An Autonomous Causal Analysis Agent
An LLM-powered agent that runs the whole causal analysis loop — diagnosing the data, selecting and configuring the right method from 20+ options, checking its own results, and producing an inspectable report.
Video
05TMLR 2023 · Causal Learning
Learning Causal Discovery
Instead of designing a causal discovery algorithm, we learn one — from a microprocessor whose every causal edge can be established by intervention. It outperforms human-designed methods on silicon, simulated fMRI and gene networks.
06ICBBS 2020 · Brain–Computer Interface
A Millisecond-level Phase Locked Neural Feedback System
A millisecond-level phase locked neural feedback system based on OpenBCI for real-time alpha wave regulation, integrating acquisition, phase estimation and stimulation on one chip.
Paper
07Kaggle Top 1% · Deep Learning
Sartorius Neuronal Cells Segmentation
A robust deep learning pipeline for segmenting neuronal cells in microscopy images — Cascade Mask R-CNN X152 with semi-supervised pseudo-labelling and cascade IoU fusion.
Write-up