Sonia Laguna
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  • πŸ“ All Publications
    • Beyond Glucose-Only Assessment: Advancing Nocturnal Hypoglycemia Prediction in Children with Type 1 Diabetes
    • Measuring Leakage in Concept-Based Methods: An Information Theoretic Approach
    • Text To 3D Object Generation For Scalable Room Assembly
    • Towards Scalable Newborn Screening: Automated General Movement Assessment in Uncontrolled Settings
    • Uncertainty Estimation for Trust Attribution to Speed-of-Sound Reconstruction with Variational Networks
    • 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
    • Quantitative Brain Morphometry of Portable Low-Field-Strength MRI Using Super-Resolution Machine Learning
  • πŸ—žοΈ All News
    • πŸ“ Attending ICLR 2025 in Singapore, our four workshop papers got accepted with an oral (Best Paper Award πŸ†) contribution!
    • πŸ–₯️ Participated in the Spring into Quant 2025 G-Research Program!
    • πŸ›οΈ Started a research stay at University of Cambridge!
    • πŸ—£οΈ I am Program Chair of the Synthetic Data Workshop at ICLR 2025 and of the GenAI for Biomed Applications Workshop at IEEE CBMS.
    • πŸ—£οΈ Our Workshop on GenAI meets XAI was accepted!
    • πŸ“ Our two main conference papers on Concept Bottleneck Models got accepted at NeurIPS 2024!
    • πŸ“ Our two workshop papers got accepted at NeurIPS 2024!
    • πŸ–₯️ Joined Google as a Research Intern and later extended as a Student Researcher.
    • πŸ“ Our main conference paper on Deep Generative Clustering with Multimodal Diffusion Variational Autoencoders got accepted at ICLR 2024!
    • πŸ“ Our workshop paper got accepted at NeurIPS 2023.
    • πŸ—£οΈ Our Workshop on Deep Generative Models for Health was accepted!
    • πŸ… Featured in the Nova List top talents in Spain!
    • πŸ“š Attended the Machine Learning Summer School (MLSS) in South Africa!
    • πŸ›οΈ Started my PhD in Machine Learning at ETH Zurich.
    • πŸ—£οΈ Joined CSNOW, 30th Anniversary and ETH Diversity Award.
    • πŸ›οΈ Arrived to Boston for a research stay in Harvard!
    • πŸ›οΈ Started the MSc in D-ITET at ETH Zurich!
    • πŸ›οΈ Selected as Amgen Scholar to do research at ETH Zurich!
    • πŸ›οΈ Started an exchange year at Georgia Institute of Technology!
    • πŸ›οΈ Started my BSc in Biomedical Engineering at Universidad Carloss III de Madrid!
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πŸ›οΈ Started my PhD in Machine Learning at ETH Zurich.

Jan 1, 2023 Β· 1 min read

Looking forward to the next years!

Last updated on Jan 1, 2023
Sonia Laguna
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Sonia Laguna
PhD in Machine Learning @ETH Zurich

← πŸ“š Attended the Machine Learning Summer School (MLSS) in South Africa! Jan 1, 2023
πŸ—£οΈ Joined CSNOW, 30th Anniversary and ETH Diversity Award. Jan 1, 2023 →

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