297 citations · 2k across the 123 of their papers we have counts for
4 papers · 1 filter
Uncertainty-Aware RL-Controlled Adaptive 3D Mapping
Alpay Ozkan, Tunc Ozan Aydin, Marc Pollefeys +2
Voxel-based volumetric mapping is fundamental to 3D reconstruction, yet fixed-resolution grids remain inherently inefficient - wasting memory in uniform regions and losing detail i…
Quantification of Predictive Uncertainty via Inference-Time Sampling
Katarína Tóthová, Ľubor Ladický, Daniel Thul +2
Predictive variability due to data ambiguities has typically been addressed via construction of dedicated models with built-in probabilistic capabilities that are trained to predic…
Episodic Curiosity through Reachability
Nikolay Savinov, Anton Raichuk, Raphaël Marinier +4
Rewards are sparse in the real world and most of today's reinforcement learning algorithms struggle with such sparsity. One solution to this problem is to allow the agent to create…
Efficient Structured Prediction with Latent Variables for General Graphical Models
Alexander Schwing, Tamir Hazan, Marc Pollefeys +1
In this paper we propose a unified framework for structured prediction with latent variables which includes hidden conditional random fields and latent structured support vector ma…