On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,982 papers · 148 categories

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3 results for “near-misses”

CMTS: Conditional Multiple Trajectory Synthesizer for Generating Safety-critical Driving Scenarioscs.LG

CMTS synthesizes near-miss driving scenarios for safer autonomous driving tests.

problem Lack of near-miss driving data for testing autonomous driving algorithms.

method Generative model conditioned on road maps, using Variational Bayesian methods.

result Synthesized data covers more near-miss scenarios, improving trajectory prediction and risk handling.

autonomous driving near-miss scenarios trajectory prediction generative models Variational Bayesian

2019-09-17abs ↗pdf ↗

Autonomous Highway Driving using Deep Reinforcement Learningcs.RO

Deep RL for autonomous highway driving avoids unexpected scenarios.

problem Unexpected scenarios in AV operation space lead to poor decision-making.

method Deep reinforcement learning with safety checks for decision-making.

result Enhanced learning efficiency and safe behavior in highway driving.

autonomous driving deep reinforcement learning safety checks traffic density near-misses

2019-03-29abs ↗pdf ↗

Capturing Unseen Spatial Heat Extremes Through Dependence-Aware Generative Modelingcs.LG

Model predicts unseen climate extremes to inform risk planning.

problem Missing unseen climate extremes in historical records.

method DeepX-GAN model capturing spatial dependence.

result Unseen heat extremes disproportionately threaten vulnerable regions.

climate extremes deep learning spatial dependence generative models risk planning

2025-07-12abs ↗pdf ↗