#uncertainty estimation
13 papers match
The Geometry of Flow-Matching Uncertainty: A Cost-free Uncertainty Proxy and Its Application in Flow-based VLA Failure Detection
Ziyang Rao, Yiren Zhao, Weiyu Guo +3
The paper interprets uncertainty in flow‑matching based action models as geometric deviation in the velocity field and proposes a cost‑free proxy called denoising acceleration that…
Endo-NeRF++: Uncertainty-Aware Neural Rendering with Multi-Resolution Hash Encoding for Dynamic Surgical Scene Reconstruction
Gousia Habib, Laura Ruotsalainen
The paper presents Endo-NeRF++, a neural rendering system that uses multi-resolution hash encoding and uncertainty‑aware adaptive sampling to improve the reconstruction of dynamic,…
TIER-MoE: Trust-Informed Expert Routing via Conditional Modality Risk for Multimodal Fusion in Biomedical Classification
Yu Chang, Anzhe Cheng, Chenwei Wu +7
The paper proposes TIER-MoE, a risk‑guided mixture‑of‑experts framework that routes multimodal biomedical data to specialized experts based on estimated modality reliability, impro…
NMKFR: A Robust Framework for Time-Aware Cold-Start Recommendation
Chengzhi Liu, Ning Zeng, Zehui Qu
The paper introduces NMKFR, a neural framework that fuses semantic text encoding with time-aware Kalman state tracking to improve recommendation of new items under changing tempora…
Think Short, Defer Smart, Act, and Repeat: Calibrated Reasoning and Uncertainty-Aware Deferral for Edge LLM Agents
Amirmohammad Farzaneh, Osvaldo Simeone
The paper introduces Think Short, Defer Smart (TSDS), a framework for edge-deployed LLM agents that stops on-device reasoning when actions stabilize and defers uncertain actions to…
Schrödinger's Cat: Probabilistic Representation and Prediction of Potential Scene Kinematics
Timy Phan, Jannik Wiese, Björn Ommer
The paper introduces GARFIELD, a probabilistic model that learns a structured spatio‑temporal latent representation of possible future scene motions from a single image and optiona…