Michela Paganini

Research Scientist, DeepMind

Joined

August 2019

Names

Michela Paganini (Preferred)

Emails

****@fb.com (Confirmed)

****@berkeley.edu (Confirmed)

****@google.com (Confirmed)

Personal Links

Career & Education History

Research Scientist

DeepMind (google.com)

2021 – Present

Postdoc

Facebook (fb.com)

2018 – 2020

PhD student

Yale University (yale.edu)

2013 – 2018

Undergrad student

University of California Berkeley (berkeley.edu)

2010 – 2013

Advisors, Relations & Conflicts

Family

Luke de Oliveira

Present

Expertise

Large Language Models

2021 – Present

Pruning

2018 – Present

Generative Models

2016 – Present

Adversarial Training

2016 – Present

Computer Vision

2014 – Present

Publications

Decoding Safety Feedback from Diverse Raters: A Data-driven Lens on Responsiveness to Severity
Pushkar Mishra, Charvi Rastogi, Stephen R Pfohl, Alicia Parrish, Tian Huey Teh, Roma Patel, Mark Diaz, Ding Wang, Michela Paganini, Vinodkumar Prabhakaran, Lora Aroyo, Verena Rieser
- Accepted by TMLR
- Readers: Everyone
Whose View of Safety? A Deep DIVE Dataset for Pluralistic Alignment of Text-to-Image Models
Charvi Rastogi, Tian Huey Teh, Pushkar Mishra, Roma Patel, Ding Wang, Mark Diaz, Alicia Parrish, Aida Mostafazadeh Davani, Zoe Ashwood, Michela Paganini, Vinodkumar Prabhakaran, Verena Rieser, Lora Aroyo
- NeurIPS 2025 Datasets and Benchmarks Track spotlight
- Readers: Everyone
Insights on Disagreement Patterns in Multimodal Safety Perception across Diverse Rater Groups
Charvi Rastogi, Tian Huey Teh, Pushkar Mishra, Roma Patel, Zoe Ashwood, Aida Mostafazadeh Davani, Mark Diaz, Michela Paganini, Alicia Parrish, Ding Wang, Vinodkumar Prabhakaran, Lora Aroyo, Verena Rieser
- SafeGenAi Poster
- Readers: Everyone
Neural Algorithmic Reasoning with Causal Regularisation
Beatrice Bevilacqua, Kyriacos Nikiforou, Borja Ibarz, Ioana Bica, Michela Paganini, Charles Blundell, Jovana Mitrovic, Petar Veličković
- ICML 2023 Poster
- Readers: Everyone
Neural Algorithmic Reasoning with Causal Regularisation
Beatrice Bevilacqua, Kyriacos Nikiforou, Borja Ibarz, Ioana Bica, Michela Paganini, Charles Blundell, Jovana Mitrovic, Petar Velickovic
- 2023 (modified: 24 Apr 2023)
- CoRR 2023
- Readers: Everyone
Unified Scaling Laws for Routed Language Models
Aidan Clark, Diego de Las Casas, Aurelia Guy, Arthur Mensch, Michela Paganini, Jordan Hoffmann, Bogdan Damoc, Blake A. Hechtman, Trevor Cai, Sebastian Borgeaud, George van den Driessche, Eliza Rutherford, Tom Hennigan, Matthew Johnson, Katie Millican, Albin Cassirer, Chris Jones, Elena Buchatskaya, David Budden, Laurent Sifre et al. (6 additional authors not shown)
- 2022 (modified: 09 Apr 2022)
- CoRR 2022
- Readers: Everyone
Improving Language Models by Retrieving from Trillions of Tokens
Sebastian Borgeaud, Arthur Mensch, Jordan Hoffmann, Trevor Cai, Eliza Rutherford, Katie Millican, George van den Driessche, Jean-Baptiste Lespiau, Bogdan Damoc, Aidan Clark, Diego de Las Casas, Aurelia Guy, Jacob Menick, Roman Ring, Tom Hennigan, Saffron Huang, Loren Maggiore, Chris Jones, Albin Cassirer, Andy Brock et al. (8 additional authors not shown)
- 2022 (modified: 24 Apr 2023)
- ICML 2022
- Readers: Everyone
Unified Scaling Laws for Routed Language Models
Aidan Clark, Diego de Las Casas, Aurelia Guy, Arthur Mensch, Michela Paganini, Jordan Hoffmann, Bogdan Damoc, Blake A. Hechtman, Trevor Cai, Sebastian Borgeaud, George van den Driessche, Eliza Rutherford, Tom Hennigan, Matthew J. Johnson, Albin Cassirer, Chris Jones, Elena Buchatskaya, David Budden, Laurent Sifre, Simon Osindero et al. (6 additional authors not shown)
- 2022 (modified: 24 Apr 2023)
- ICML 2022
- Readers: Everyone
Improving language models by retrieving from trillions of tokens
Sebastian Borgeaud, Arthur Mensch, Jordan Hoffmann, Trevor Cai, Eliza Rutherford, Katie Millican, George van den Driessche, Jean-Baptiste Lespiau, Bogdan Damoc, Aidan Clark, Diego de Las Casas, Aurelia Guy, Jacob Menick, Roman Ring, Tom Hennigan, Saffron Huang, Loren Maggiore, Chris Jones, Albin Cassirer, Andy Brock et al. (8 additional authors not shown)
- 2021 (modified: 26 Feb 2022)
- CoRR 2021
- Readers: Everyone
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Jack W. Rae, Sebastian Borgeaud, Trevor Cai, Katie Millican, Jordan Hoffmann, H. Francis Song, John Aslanides, Sarah Henderson, Roman Ring, Susannah Young, Eliza Rutherford, Tom Hennigan, Jacob Menick, Albin Cassirer, Richard Powell, George van den Driessche, Lisa Anne Hendricks, Maribeth Rauh, Po-Sen Huang, Amelia Glaese et al. (60 additional authors not shown)
- 2021 (modified: 26 Feb 2022)
- CoRR 2021
- Readers: Everyone

View all 25 publications

Co-Authors

View all 236 co-authors