Nicolò Fusi

According to our database, Nicolò Fusi authored at least 31 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology.

Eric Zimmermann, Eugene Vorontsov, Julian Viret, Adam Casson, Michal Zelechowski, George Shaikovski, Neil A. Tenenholtz, James Brian Hall, David S. Klimstra, Razik Yousfi, Thomas J. Fuchs, Nicoló Fusi, Siqi Liu, Kristen Severson

CoRR, 2024

PRISM: A Multi-Modal Generative Foundation Model for Slide-Level Histopathology.

George Shaikovski, Adam Casson, Kristen Severson, Eric Zimmermann, Yi Kan Wang, Jeremy D. Kunz, Juan Retamero, Gerard Oakley, David S. Klimstra, Christopher Kanan, Matthew G. Hanna, Michal Zelechowski, Julian Viret, Neil A. Tenenholtz, James Brian Hall, Nicolò Fusi, Razik Yousfi, Peter Hamilton, William A. Moye, Eugene Vorontsov, Siqi Liu, Thomas J. Fuchs

CoRR, 2024

Tag-LLM: Repurposing General-Purpose LLMs for Specialized Domains.

Junhong Shen, Neil A. Tenenholtz, James Brian Hall, David Alvarez-Melis, Nicolò Fusi

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine.

Harsha Nori, Yin Tat Lee, Sheng Zhang, Dean Carignan, Richard Edgar, Nicolò Fusi, Nicholas King, Jonathan Larson, Yuanzhi Li, Weishung Liu, Renqian Luo, Scott Mayer McKinney, Robert Osazuwa Ness, Hoifung Poon, Tao Qin, Naoto Usuyama, Christopher M. White, Eric Horvitz

CoRR, 2023

Considerations for data acquisition and modeling strategies: Mitosis detection in computational pathology.

Zongliang Ji, Philip Rosenfield, Christina Eng, Sarah Bettigole, Danielle C. Gibson, Hamid Masoudi, Matthew G. Hanna, Nicolò Fusi, Kristen A. Severson

Proceedings of the Medical Imaging with Deep Learning, 2023

Bayesian Optimization Over Iterative Learners with Structured Responses: A Budget-aware Planning Approach.

Syrine Belakaria, Janardhan Rao Doppa, Nicolò Fusi, Rishit Sheth

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Budget-Constrained Bounds for Mini-Batch Estimation of Optimal Transport.

David Alvarez-Melis, Nicolò Fusi, Lester Mackey, Tal Wagner

CoRR, 2022

Interpretable Distribution Shift Detection using Optimal Transport.

Neha Hulkund, Nicolò Fusi, Jennifer Wortman Vaughan, David Alvarez-Melis

CoRR, 2022

Rapid Model Architecture Adaption for Meta-Learning.

Yiren Zhao, Xitong Gao, Ilia Shumailov, Nicolò Fusi, Robert D. Mullins

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

LANA: Latency Aware Network Acceleration.

Pavlo Molchanov, Jimmy Hall, Hongxu Yin, Jan Kautz, Nicolò Fusi, Arash Vahdat

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

On Hard Episodes in Meta-Learning.

Samyadeep Basu, Amr Sharaf, Nicolò Fusi, Soheil Feizi

CoRR, 2021

HANT: Hardware-Aware Network Transformation.

Pavlo Molchanov, Jimmy Hall, Hongxu Yin, Jan Kautz, Nicolò Fusi, Arash Vahdat

CoRR, 2021

Dataset Dynamics via Gradient Flows in Probability Space.

David Alvarez-Melis, Nicolò Fusi

Proceedings of the 38th International Conference on Machine Learning, 2021

Initialization and Regularization of Factorized Neural Layers.

Mikhail Khodak, Neil A. Tenenholtz, Lester Mackey, Nicolò Fusi

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Gradient Flows in Dataset Space.

David Alvarez-Melis, Nicolò Fusi

CoRR, 2020

Model-specific Data Subsampling with Influence Functions.

Anant Raj, Cameron Musco, Lester Mackey, Nicoló Fusi

CoRR, 2020

Weighted Meta-Learning.

Diana Cai, Rishit Sheth, Lester Mackey, Nicoló Fusi

CoRR, 2020

Geometric Dataset Distances via Optimal Transport.

David Alvarez-Melis, Nicolò Fusi

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Differentiable Feature Selection by Discrete Relaxation.

Rishit Sheth, Nicoló Fusi

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Feature Gradients: Scalable Feature Selection via Discrete Relaxation.

Rishit Sheth, Nicoló Fusi

CoRR, 2019

Probabilistic Neural Architecture Search.

Francesco Paolo Casale, Jonathan Gordon, Nicoló Fusi

CoRR, 2019

2018

Model Compression with Generative Adversarial Networks.

Ruishan Liu, Nicoló Fusi, Lester Mackey

CoRR, 2018

Probabilistic Matrix Factorization for Automated Machine Learning.

Nicoló Fusi, Rishit Sheth, Melih Elibol

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Gaussian Process Prior Variational Autoencoders.

Francesco Paolo Casale, Adrian V. Dalca, Luca Saglietti, Jennifer Listgarten, Nicoló Fusi

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Flexible Modeling of Genetic Effects on Function-Valued Traits.

Nicoló Fusi, Jennifer Listgarten

J. Comput. Biol., 2017

2016

Flexible Modelling of Genetic Effects on Function-Valued Traits.

Nicoló Fusi, Jennifer Listgarten

Proceedings of the Research in Computational Molecular Biology - 20th Annual Conference, 2016

2015

Probabilistic latent variable models in statistical genomics.

Nicoló Fusi

PhD thesis, 2015

2013

Detecting regulatory gene-environment interactions with unmeasured environmental factors.

Nicoló Fusi, Christoph Lippert, Karsten M. Borgwardt, Neil D. Lawrence, Oliver Stegle

Bioinform., 2013

Gaussian Processes for Big Data.

James Hensman, Nicoló Fusi, Neil D. Lawrence

Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

2012

Joint Modelling of Confounding Factors and Prominent Genetic Regulators Provides Increased Accuracy in Genetical Genomics Studies.

Nicoló Fusi, Oliver Stegle, Neil D. Lawrence

PLoS Comput. Biol., 2012

2008

Intrusion Detection via Artificial Immune System: a Performance-based Approach.

Andrea Visconti, Nicoló Fusi, Hooman Tahayori

Proceedings of the Biologically-Inspired Collaborative Computing, 2008