Lightning Talks

Aikaterini Myrto Koliousi

Modeling cumulative axonal damage from repeated real-world head impacts

Alejandro Valverde Mahou

Physics-Constrained Inverse Optimization‌ for Drift-Strip CZT Radiation Detectors

Aleksandr Duplinskii

Trainable measurement for low-light computer vision: a quantum state discrimination approach

Alex Kondi

Machine-Learning-based 3D Reconstruction of AFM Topography from 2D SEM Images

Alexis Dougha

Combining structure prediction and inverse folding improves peptide deorphanization

Astghik Altunyan

AI for social science: How ChatGPT exposes the bias in social science

Benayad Mohamed

AI-Driven Urban Planning for Electric Vehicle Charging Infrastructure from Satellite Imagery

David Lurz

Accelerating and Automating Open-Source Radio-Frequency Integrated Circuit Design

Erik Kubaczka

Batch Bayesian Optimization for High-Throughput Biology

Eva Shelmanova

Verified Interpretation Under Uncertainty and Stress

Hassan Elkholy

From seafloor observations to ecological insights

Hiba Bensalem

SI-VAE : Spatially Informed Autoencoders: Point processes as a self-supervision target for interpretable visual representations

Ignacio D. Lopez-Miguel

Explaining, Testing and Improving RL Policies via Rule Learning

Islomjon Shukhratov

Explainable Foundation Models for Multimodal Remote Sensing Data

Jess Fleming

Clinical sequence models to improve clinical trial design

Kanta Yamaoka

Linear-LLM-SCM: Benchmarking LLMs for Coefficient Elicitation in Linear-Gaussian Causal Models

Karnik Ram

Scaling Molecular Simulations using Neural Classical Density Functional Theory

Leonie Bossemeyer

CleverBirds: Modelling visual expertise from 17M quiz answers

Leonidas Bakopoulos

A Novel Framework For Uncertainty-Driven Adaptive Exploration

Marco Mario Ciamarra

The Fake Direction: How Fine-Tuning Reorganizes Latent Space Geometry

Matthew Wright

Using AI to correct weather forecasts

Miguel Perez Cuadrado

Mapping attractors: interpretable by construction, shaped by data

Mohammad Zaid

AI-based microdevices as scientific sensing platforms

Nele Quast

Converting Diffusions to Flows Accerelates Sampling and Suggests Over-conditioning of Co-folding Models on Sequence

Nick Kallitsounakis

Enabling High RES Penetration via Physics-Hybrid Multistep Wind Power Forecasting

Pavlos Alexandros Dimitriou

Predicting Missing Links in COVID-19 Infection Networks

Sara Petiton

ML and DL for neuroanatomical biomarker identification in psychiatry

Zacharias Faidon Brotzakis

Inverse Folding Molecular Dynamics