Nicolò Fusi

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 18

Top Topics

Riemannian Metric

Regularization Methods

Data Acquisition

Top Venues

Publications

Junhong Shen, Neil Tenenholtz, James Brian Hall, David Alvarez-Melis, Nicolò Fusi
Tag-LLM: Repurposing General-Purpose LLMs for Specialized Domains. CoRR (2024)
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
PRISM: A Multi-Modal Generative Foundation Model for Slide-Level Histopathology. CoRR (2024)
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, Chris White, Eric Horvitz
Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine. CoRR (2023)
Syrine Belakaria, Janardhan Rao Doppa, Nicolò Fusi, Rishit Sheth
Bayesian Optimization Over Iterative Learners with Structured Responses: A Budget-aware Planning Approach. AISTATS (2023)
Zongliang Ji, Philip Rosenfield, Christina Eng, Sarah Bettigole, Danielle C. Gibson, Hamid Masoudi, Matthew Hanna, Nicolò Fusi, Kristen A. Severson
Considerations for data acquisition and modeling strategies: Mitosis detection in computational pathology. MIDL (2023)
David Alvarez-Melis, Nicolò Fusi, Lester Mackey, Tal Wagner
Budget-Constrained Bounds for Mini-Batch Estimation of Optimal Transport. CoRR (2022)
Syrine Belakaria, Rishit Sheth, Janardhan Rao Doppa, Nicolò Fusi
Bayesian Optimization Over Iterative Learners with Structured Responses: A Budget-aware Planning Approach. CoRR (2022)
Yiren Zhao, Xitong Gao, Ilia Shumailov, Nicolò Fusi, Robert D. Mullins
Rapid Model Architecture Adaption for Meta-Learning. NeurIPS (2022)
Neha Hulkund, Nicolò Fusi, Jennifer Wortman Vaughan, David Alvarez-Melis
Interpretable Distribution Shift Detection using Optimal Transport. CoRR (2022)
Pavlo Molchanov, Jimmy Hall, Hongxu Yin, Jan Kautz, Nicolò Fusi, Arash Vahdat
LANA: Latency Aware Network Acceleration. ECCV (12) (2022)
Mikhail Khodak, Neil A. Tenenholtz, Lester Mackey, Nicolò Fusi
Initialization and Regularization of Factorized Neural Layers. CoRR (2021)
Yiren Zhao, Xitong Gao, Ilia Shumailov, Nicolò Fusi, Robert D. Mullins
Rapid Model Architecture Adaption for Meta-Learning. CoRR (2021)
David Alvarez-Melis, Nicolò Fusi
Dataset Dynamics via Gradient Flows in Probability Space. ICML (2021)
Mikhail Khodak, Neil A. Tenenholtz, Lester Mackey, Nicolò Fusi
Initialization and Regularization of Factorized Neural Layers. ICLR (2021)
Samyadeep Basu, Amr Sharaf, Nicolò Fusi, Soheil Feizi
On Hard Episodes in Meta-Learning. CoRR (2021)
Pavlo Molchanov, Jimmy Hall, Hongxu Yin, Jan Kautz, Nicolò Fusi, Arash Vahdat
HANT: Hardware-Aware Network Transformation. CoRR (2021)
David Alvarez-Melis, Nicolò Fusi
Geometric Dataset Distances via Optimal Transport. NeurIPS (2020)
David Alvarez-Melis, Nicolò Fusi
Gradient Flows in Dataset Space. CoRR (2020)