Michela Paganini

29 papers A* 4Journal 23Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Decoding Safety Feedback from Diverse Raters: A Data-driven Lens on Responsiveness to Severity. Trans. Mach. Learn. Res. 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
2025	J	`jnl`	"Just a strange pic": Evaluating 'safety' in GenAI Image safety annotation tasks from diverse annotators' perspectives. CoRR Ding Wang, Mark Díaz, Charvi Rastogi, Aida Mostafazadeh Davani, Vinodkumar Prabhakaran, Pushkar Mishra, Roma Patel, Alicia Parrish, Zoe Ashwood, Michela Paganini, Tian Huey Teh, Verena Rieser, Lora Aroyo
2025	J	`jnl`	Nuanced Safety for Generative AI: How Demographics Shape Responsiveness to Severity. CoRR Pushkar Mishra, Charvi Rastogi, Stephen R. Pfohl, Alicia Parrish, Roma Patel, Mark Diaz, Ding Wang, Michela Paganini, Vinodkumar Prabhakaran, Lora Aroyo, Verena Rieser
2025	J	`jnl`	Whose View of Safety? A Deep DIVE Dataset for Pluralistic Alignment of Text-to-Image Models. CoRR Charvi Rastogi, Tian Huey Teh, Pushkar Mishra, Roma Patel, Ding Wang, Mark Díaz, Alicia Parrish, Aida Mostafazadeh Davani, Zoe Ashwood, Michela Paganini, Vinodkumar Prabhakaran, Verena Rieser, Lora Aroyo
2024	J	`jnl`	Insights on Disagreement Patterns in Multimodal Safety Perception across Diverse Rater Groups. CoRR 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
2023	A*	`conf`	Neural Algorithmic Reasoning with Causal Regularisation. ICML Beatrice Bevilacqua, Kyriacos Nikiforou, Borja Ibarz, Ioana Bica, Michela Paganini, Charles Blundell, Jovana Mitrovic, Petar Velickovic
2023	J	`jnl`	Neural Algorithmic Reasoning with Causal Regularisation. CoRR Beatrice Bevilacqua, Kyriacos Nikiforou, Borja Ibarz, Ioana Bica, Michela Paganini, Charles Blundell, Jovana Mitrovic, Petar Velickovic
2023	J	`jnl`	Towards Compute-Optimal Transfer Learning. CoRR Massimo Caccia, Alexandre Galashov, Arthur Douillard, Amal Rannen-Triki, Dushyant Rao, Michela Paganini, Laurent Charlin, Marc'Aurelio Ranzato, Razvan Pascanu
2022	A*	`conf`	Improving Language Models by Retrieving from Trillions of Tokens. ICML 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, Michela Paganini, Geoffrey Irving, Oriol Vinyals, Simon Osindero, Karen Simonyan, Jack W. Rae, Erich Elsen, Laurent Sifre
2022	A*	`conf`	Unified Scaling Laws for Routed Language Models. ICML 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, Oriol Vinyals, Marc'Aurelio Ranzato, Jack W. Rae, Erich Elsen, Koray Kavukcuoglu, Karen Simonyan
2022	J	`jnl`	Unified Scaling Laws for Routed Language Models. CoRR 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, Katie Millican, Albin Cassirer, Chris Jones, Elena Buchatskaya, David Budden, Laurent Sifre, Simon Osindero, Oriol Vinyals, Jack W. Rae, Erich Elsen, Koray Kavukcuoglu, Karen Simonyan
2021	J	`jnl`	Improving language models by retrieving from trillions of tokens. CoRR 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, Michela Paganini, Geoffrey Irving, Oriol Vinyals, Simon Osindero, Karen Simonyan, Jack W. Rae, Erich Elsen, Laurent Sifre
2021	J	`jnl`	Scaling Language Models: Methods, Analysis & Insights from Training Gopher. CoRR 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, Johannes Welbl, Sumanth Dathathri, Saffron Huang, Jonathan Uesato, John Mellor, Irina Higgins, Antonia Creswell, Nat McAleese, Amy Wu, Erich Elsen, Siddhant M. Jayakumar, Elena Buchatskaya, David Budden, Esme Sutherland, Karen Simonyan, Michela Paganini, Laurent Sifre, Lena Martens, Xiang Lorraine Li, Adhiguna Kuncoro, Aida Nematzadeh, Elena Gribovskaya, Domenic Donato, Angeliki Lazaridou, Arthur Mensch, Jean-Baptiste Lespiau, Maria Tsimpoukelli, Nikolai Grigorev, Doug Fritz, Thibault Sottiaux, Mantas Pajarskas, Toby Pohlen, Zhitao Gong, Daniel Toyama, Cyprien de Masson d'Autume, Yujia Li, Tayfun Terzi, Vladimir Mikulik, Igor Babuschkin, Aidan Clark, Diego de Las Casas, Aurelia Guy, Chris Jones, James Bradbury, Matthew J. Johnson, Blake A. Hechtman, Laura Weidinger, Iason Gabriel, William Isaac, Edward Lockhart, Simon Osindero, Laura Rimell, Chris Dyer, Oriol Vinyals, Kareem Ayoub, Jeff Stanway, Lorrayne Bennett, Demis Hassabis, Koray Kavukcuoglu, Geoffrey Irving
2020	J	`jnl`	Bespoke vs. Prêt-à-Porter Lottery Tickets: Exploiting Mask Similarity for Trainable Sub-Network Finding. CoRR Michela Paganini, Jessica Zosa Forde
2020	—	`ed.`	NeurIPS 2020 Workshop on Pre-registration in Machine Learning, 11 December 2020, Virtual Event. Preregister@NeurIPS Luca Bertinetto, João F. Henriques, Samuel Albanie, Michela Paganini, Gül Varol
2020	J	`jnl`	On Iterative Neural Network Pruning, Reinitialization, and the Similarity of Masks. CoRR Michela Paganini, Jessica Zosa Forde
2020	—	`conf`	Preface. Preregister@NeurIPS Luca Bertinetto, João F. Henriques, Samuel Albanie, Michela Paganini, Gül Varol
2020	J	`jnl`	Prune Responsibly. CoRR Michela Paganini
2020	J	`jnl`	Streamlining Tensor and Network Pruning in PyTorch. CoRR Michela Paganini, Jessica Zosa Forde
2020	J	`jnl`	dagger: A Python Framework for Reproducible Machine Learning Experiment Orchestration. CoRR Michela Paganini, Jessica Zosa Forde
2019	J	`jnl`	Machine Learning Solutions for High Energy Physics: Applications to Electromagnetic Shower Generation, Flavor Tagging, and the Search for di-Higgs Production. CoRR Michela Paganini
2019	A*	`conf`	One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers. NeurIPS Ari S. Morcos, Haonan Yu, Michela Paganini, Yuandong Tian
2019	J	`jnl`	One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers. CoRR Ari S. Morcos, Haonan Yu, Michela Paganini, Yuandong Tian
2019	J	`jnl`	The Scientific Method in the Science of Machine Learning. CoRR Jessica Zosa Forde, Michela Paganini
2017	J	`jnl`	CaloGAN: Simulating 3D High Energy Particle Showers in Multi-Layer Electromagnetic Calorimeters with Generative Adversarial Networks. CoRR Michela Paganini, Luke de Oliveira, Benjamin Nachman
2017	J	`jnl`	Controlling Physical Attributes in GAN-Accelerated Simulation of Electromagnetic Calorimeters. CoRR Luke de Oliveira, Michela Paganini, Benjamin Nachman
2017	J	`jnl`	Deep Neural Networks for Physics Analysis on low-level whole-detector data at the LHC. CoRR Wahid Bhimji, Steven Andrew Farrell, Thorsten Kurth, Michela Paganini, Prabhat, Evan Racah
2017	J	`jnl`	Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Physics Synthesis. Comput. Softw. Big Sci. Luke de Oliveira, Michela Paganini, Benjamin Nachman
2017	J	`jnl`	Machine Learning Algorithms for b-Jet Tagging at the ATLAS Experiment. CoRR Michela Paganini