Sonia Laguna
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    • RadVLM: A Multitask Conversational Vision-Language Model for Radiology
    • Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable
    • Stochastic Concept Bottleneck Models
    • Exploiting Interpretable Capabilities with Concept-Enhanced Diffusion and Prototype Networks
    • Automatic Classification of General Movements in Newborns
    • Synthetic data in generalizable, learning-based neuroimaging
    • Deep Generative Clustering With Multimodal Diffusion Variational Autoencoders
    • ExpLIMEable: An exploratory framework for LIME
    • Super-resolution of portable low-field MRI in real scenarios: integration with denoising and domain adaptation
    • Single Plane Illumination Microscopy for Microfluidic Device Imaging
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    • 🏛️ Started a research stay at University of Cambridge!
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    • 🗣️ Our Workshop on GenAI meets XAI was accepted!
    • 📝 Our two main conference papers on Concept Bottleneck Models got accepted at Neurips 2024!
    • 📝 Our two workshop papers got accepted at Neurips 2024!
    • 🖥️ Joined Google as a Research Intern and later extended as a Student Researcher.
    • 📝 Our main conference paper on Deep Generative Clustering with Multimodal Diffusion Variational Autoencoders got accepted at ICLR 2024!
    • 📝 Our workshop paper got accepted at Neurips 2023.
    • 🗣️ Our Workshop on Deep Generative Models for Health was accepted!
    • 🏅 Featured in the Nova List top talents in Spain!
    • 📚 Attended the Machine Learning Summer School (MLSS) in South Africa!
    • 🏛️ Started my PhD in Machine Learning at ETH Zurich.
    • 🗣️ Joined CSNOW, 30th Anniversary and ETH Diversity Award.
    • 🏛️ Arrived to Boston for a research stay in Harvard!
    • 🏛️ Started the MSc in D-ITET at ETH Zurich!
    • 🏛️ Selected as Amgen Scholar to do research at ETH Zurich!
    • 🏛️ Started an exchange year at Georgia Institute of Technology!
    • 🏛️ Started my BSc in Biomedical Engineering at Universidad Carloss III de Madrid!
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📝 Our workshop paper got accepted at Neurips 2023.

Dec 1, 2023 · 1 min read

We present ExpLIMEable: An exploratory framework for LIME. Checkout the preprint!

Last updated on Dec 1, 2023
Sonia Laguna
Authors
Sonia Laguna
PhD in Machine Learning @ETH Zurich
← 📝 Our main conference paper on Deep Generative Clustering with Multimodal Diffusion Variational Autoencoders got accepted at ICLR 2024! Jan 1, 2024
🗣️ Our Workshop on Deep Generative Models for Health was accepted! Aug 1, 2023 →

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