Author

J. Downes

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#machine learning Preprint Aug 2026

Non-Parametric Spatiotemporal Trajectory Prediction via State-Conditioned Transition Sampling

A training-free method for multi-modal trajectory prediction that achieves comparable accuracy to a 57M-parameter transformer while requiring no GPU and zero learned parameters, which enables deployment in new geographic regions from an order of magnitude less historical data.

Michael Fore, Akshay Jain, J. Downes et al. · 0 citations

Preprint Aug 2026

Perturb the Thought, Not the Pixels: Latent-Space Rollout Diversification for Reinforcement Learning of Vision-Language Models

Noise-Contrastive GRPO is introduced, which injects scale-calibrated Gaussian noise into the last hidden layer of the prompt-encoding pass for half of each rollout group, branching those rollouts from a displaced departure state and integrates into a standard RLVR pipeline as a ~50-line change to the inference engine.

Michael M. Jerge, Joseph Pelczar, J. Downes · 1 citation