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From the 1 of 10 linked papers with an AI index.

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10 papers

cs.CV2026

Cyclone: Diffusion Model for Cycle-Consistent Weather Editing from Unpaired Driving Data

Thang-Anh-Quan Nguyen, Moussab Bennehar, Luis Guillermo Roldao Jimenez +5

Cyclone is a latent diffusion framework that edits weather conditions in driving images without paired data, using cycle-consistent constraints and image‑text knowledge to produce…

cs.LG2026

A Transport-Based Geometry of Belief-Cost

Laurent Caraffa

A finite agent, a machine's digital twin or any bounded reasoner, infers a fixed and noisy world through finite sensors, so its coherent output is a belief: a probability density o…

cs.CV2026

SEM-ROVER: Semantic Voxel-Guided Diffusion for Large-Scale Driving Scene Generation

Hiba Dahmani, Nathan Piasco, Moussab Bennehar +5

Scalable generation of outdoor driving scenes requires 3D representations that remain consistent across multiple viewpoints and scale to large areas. Existing solutions either rely…

cs.CV2026

Fused-Planes: Why Train a Thousand Tri-Planes When You Can Share?

Karim Kassab, Antoine Schnepf, Jean-Yves Franceschi +5

Tri-Planar NeRFs enable the application of powerful 2D vision models for 3D tasks, by representing 3D objects using 2D planar structures. This has made them the prevailing choice t…

cs.LG2026

Dissipative Learning: A Framework for Viable Adaptive Systems

Laurent Caraffa

We propose a perspective in which learning is an intrinsically dissipative process. Forgetting and regularization are not heuristic add-ons but structural requirements for adaptive…

cs.LG2026

Thermodynamically Optimal Regularization under Information-Geometric Constraints

Laurent Caraffa

Modern machine learning relies on a collection of empirically successful but theoretically heterogeneous regularization techniques, such as weight decay, dropout, and exponential m…