Author

Bo Dai

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#machine learning Preprint Oct 2026

Seq-Flow: Efficient Probabilistic Forecasting with Self-Rollout Error Control

Many scientific forecasting tasks require updating a distribution over future trajectories as new observations arrive. Conventional diffusion and flow models generate each forecast from Gaussian noise, often at the cost of many sampling steps. Warm-start methods reuse earlier predictions to reduce this cost, but their...

Yi-Nan Huang, Shitij Govil, Bo Dai et al. · 0 citations

Open access Aug 2026

EcoVLA: Energy-Efficient Device-Edge Co-inference for Vision-Language-Action Models Under Real-Time Constraints

EcoVLA is proposed, an adaptive device-edge co-inference framework for VLA models that maximizes system energy efficiency under real-time constraints and incorporates a lightweight transmission mechanism for inter-stage intermediate tensors to reduce the communication overhead incurred by cross-device collaboration.

Ao Zhou, Bo Dai, Le Yu et al. · Advanced Parallel Programmin... · 1 citation