Abdoulatif Cissé — accepted AI-conference papers

2025

Language-Based Bayesian Optimization Research Assistant (BORA)

Abdoulatif Cissé, Xenophon Evangelopoulos, Vladimir V. Gusev, Andrew I. Cooper

IJCAI 2025

Many important scientific problems involve multivariate optimization coupled with slow and laborious experimental measurements. These high-dimensional searches can be defined by complex, non-convex optimization landscapes that resemble needle-in-a-haystack surfaces, leading to entrapment in local mi

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2024

HypBO: Accelerating Black-Box Scientific Experiments Using Experts’ Hypotheses

Abdoulatif Cissé, Xenophon Evangelopoulos, Sam Carruthers, Vladimir V. Gusev, Andrew I. Cooper

IJCAI 2024poster

Robotics and automation offer massive acceleration for solving intractable, multivariate scientific problems such as materials discovery, but the available search spaces can be dauntingly large. Bayesian optimization has emerged as a popular sample-efficient optimization engine, thriving in tasks wh…

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