Sonia Laguna
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    • DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures
    • Rethinking Machine Unlearning: Models Designed to Forget via Key Deletion
    • Reference-Guided Machine Unlearning
    • Structure is Supervision: Multiview Masked Autoencoders for Radiology
    • Foundation Model for Cardiac Time Series via Masked Latent Attention
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    • 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
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    • Super-resolution of portable low-field MRI in real scenarios: integration with denoising and domain adaptation
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    • 🖥️ Joined Apple as a Research Intern
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    • 📝 Summer research update! Four first author publications have been accepted and will be presented this summer at ICML, MLHC and IPCAI
    • 📝 Attending ICLR 2025 in Singapore, our four workshop papers got accepted with an oral (Best Paper Award 🏆) contribution!
    • 🗣️ Invited Speaker at the Microsoft Cambridge ML Seminar Series
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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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Reference-Guided Machine Unlearning

Mar 14, 2026·
Jonas Mirlach*
Sonia Laguna*
Sonia Laguna*
,
Julia E Vogt
· 0 min read
PDF Code
Type
Conference paper
Publication
In ICLR 2026 Workshop AIWILD and extended Preprint - ArXiv
Last updated on Mar 14, 2026
Sonia Laguna*
Authors
Sonia Laguna*
Research @Apple MLR
PhD in Machine Learning @ETH Zurich
← Rethinking Machine Unlearning: Models Designed to Forget via Key Deletion Mar 15, 2026
Structure is Supervision: Multiview Masked Autoencoders for Radiology Mar 13, 2026 →

© 2026 Sonia Laguna. This work is licensed under CC BY NC ND 4.0

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