Search Results for author: Kamil Dreczkowski

Found 5 papers, 2 papers with code

Framework and Benchmarks for Combinatorial and Mixed-variable Bayesian Optimization

1 code implementation NeurIPS 2023 Kamil Dreczkowski, Antoine Grosnit, Haitham Bou Ammar

This paper introduces a modular framework for Mixed-variable and Combinatorial Bayesian Optimization (MCBO) to address the lack of systematic benchmarking and standardized evaluation in the field.

Bayesian Optimization Benchmarking

Hybrid ICP

no code implementations15 Sep 2021 Kamil Dreczkowski, Edward Johns

In this paper, we propose Hybrid ICP, a novel and flexible ICP variant which dynamically optimises both the data association method and error metric based on the live image of an object and the current ICP estimate.

Object Pose Estimation

One-Shot Imitation Learning: A Pose Estimation Perspective

no code implementations18 Oct 2023 Pietro Vitiello, Kamil Dreczkowski, Edward Johns

In this paper, we study imitation learning under the challenging setting of: (1) only a single demonstration, (2) no further data collection, and (3) no prior task or object knowledge.

Camera Calibration Imitation Learning +2

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