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2020 – today
- 2024
[c14]Junhong Shen, Neil A. Tenenholtz, James Brian Hall, David Alvarez-Melis, Nicolò Fusi:
Tag-LLM: Repurposing General-Purpose LLMs for Specialized Domains. ICML 2024- [i20]Junhong Shen, Neil A. Tenenholtz, James Brian Hall, David Alvarez-Melis, Nicolò Fusi:
Tag-LLM: Repurposing General-Purpose LLMs for Specialized Domains. CoRR abs/2402.05140 (2024) - [i19]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 abs/2405.10254 (2024) - [i18]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:
Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology. CoRR abs/2408.00738 (2024) - 2023
- [c13]Syrine Belakaria, Janardhan Rao Doppa, Nicolò Fusi, Rishit Sheth:
Bayesian Optimization Over Iterative Learners with Structured Responses: A Budget-aware Planning Approach. AISTATS 2023: 9076-9093 - [c12]Zongliang Ji, Philip Rosenfield, Christina Eng, Sarah Bettigole, Danielle C. Gibson, Hamid Masoudi, Matthew G. Hanna, Nicolò Fusi, Kristen A. Severson:
Considerations for data acquisition and modeling strategies: Mitosis detection in computational pathology. MIDL 2023: 1051-1066 - [i17]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:
Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine. CoRR abs/2311.16452 (2023) - 2022
- [c11]Pavlo Molchanov, Jimmy Hall, Hongxu Yin, Jan Kautz, Nicolò Fusi, Arash Vahdat:
LANA: Latency Aware Network Acceleration. ECCV (12) 2022: 137-156 - [c10]Yiren Zhao, Xitong Gao, Ilia Shumailov, Nicolò Fusi, Robert D. Mullins:
Rapid Model Architecture Adaption for Meta-Learning. NeurIPS 2022 - [i16]Syrine Belakaria, Rishit Sheth, Janardhan Rao Doppa, Nicolò Fusi:
Bayesian Optimization Over Iterative Learners with Structured Responses: A Budget-aware Planning Approach. CoRR abs/2206.12708 (2022) - [i15]Neha Hulkund, Nicolò Fusi, Jennifer Wortman Vaughan, David Alvarez-Melis:
Interpretable Distribution Shift Detection using Optimal Transport. CoRR abs/2208.02896 (2022) - [i14]David Alvarez-Melis, Nicolò Fusi, Lester Mackey
, Tal Wagner:
Budget-Constrained Bounds for Mini-Batch Estimation of Optimal Transport. CoRR abs/2210.13630 (2022) - 2021
- [c9]Mikhail Khodak, Neil A. Tenenholtz, Lester Mackey, Nicolò Fusi:
Initialization and Regularization of Factorized Neural Layers. ICLR 2021 - [c8]David Alvarez-Melis, Nicolò Fusi:
Dataset Dynamics via Gradient Flows in Probability Space. ICML 2021: 219-230 - [i13]Mikhail Khodak, Neil A. Tenenholtz, Lester Mackey, Nicolò Fusi:
Initialization and Regularization of Factorized Neural Layers. CoRR abs/2105.01029 (2021) - [i12]Pavlo Molchanov, Jimmy Hall, Hongxu Yin, Jan Kautz, Nicolò Fusi, Arash Vahdat:
HANT: Hardware-Aware Network Transformation. CoRR abs/2107.10624 (2021) - [i11]Yiren Zhao, Xitong Gao, Ilia Shumailov, Nicolò Fusi, Robert D. Mullins:
Rapid Model Architecture Adaption for Meta-Learning. CoRR abs/2109.04925 (2021) - [i10]Samyadeep Basu, Amr Sharaf, Nicolò Fusi, Soheil Feizi:
On Hard Episodes in Meta-Learning. CoRR abs/2110.11190 (2021) - 2020
- [c7]Rishit Sheth, Nicoló Fusi:
Differentiable Feature Selection by Discrete Relaxation. AISTATS 2020: 1564-1572 - [c6]David Alvarez-Melis, Nicolò Fusi:
Geometric Dataset Distances via Optimal Transport. NeurIPS 2020 - [i9]David Alvarez-Melis, Nicoló Fusi:
Geometric Dataset Distances via Optimal Transport. CoRR abs/2002.02923 (2020) - [i8]Diana Cai, Rishit Sheth, Lester Mackey, Nicoló Fusi:
Weighted Meta-Learning. CoRR abs/2003.09465 (2020) - [i7]Anant Raj, Cameron Musco, Lester Mackey, Nicoló Fusi:
Model-specific Data Subsampling with Influence Functions. CoRR abs/2010.10218 (2020) - [i6]David Alvarez-Melis, Nicolò Fusi:
Gradient Flows in Dataset Space. CoRR abs/2010.12760 (2020)
2010 – 2019
- 2019
- [i5]Francesco Paolo Casale, Jonathan Gordon, Nicoló Fusi:
Probabilistic Neural Architecture Search. CoRR abs/1902.05116 (2019) - [i4]Rishit Sheth, Nicoló Fusi:
Feature Gradients: Scalable Feature Selection via Discrete Relaxation. CoRR abs/1908.10382 (2019) - 2018
- [c5]Nicoló Fusi, Rishit Sheth, Melih Elibol:
Probabilistic Matrix Factorization for Automated Machine Learning. NeurIPS 2018: 3352-3361 - [c4]Francesco Paolo Casale, Adrian V. Dalca, Luca Saglietti, Jennifer Listgarten, Nicoló Fusi:
Gaussian Process Prior Variational Autoencoders. NeurIPS 2018: 10390-10401 - [i3]Francesco Paolo Casale, Adrian V. Dalca, Luca Saglietti, Jennifer Listgarten, Nicoló Fusi:
Gaussian Process Prior Variational Autoencoders. CoRR abs/1810.11738 (2018) - [i2]Ruishan Liu, Nicoló Fusi, Lester Mackey:
Model Compression with Generative Adversarial Networks. CoRR abs/1812.02271 (2018) - 2017
- [j3]Nicoló Fusi, Jennifer Listgarten:
Flexible Modeling of Genetic Effects on Function-Valued Traits. J. Comput. Biol. 24(6): 524-535 (2017) - 2016
- [c3]Nicoló Fusi, Jennifer Listgarten:
Flexible Modelling of Genetic Effects on Function-Valued Traits. RECOMB 2016: 95-110 - 2015
- [b1]Nicoló Fusi:
Probabilistic latent variable models in statistical genomics. University of Sheffield, UK, 2015 - 2013
- [j2]Nicoló Fusi, Christoph Lippert, Karsten M. Borgwardt, Neil D. Lawrence, Oliver Stegle:
Detecting regulatory gene-environment interactions with unmeasured environmental factors. Bioinform. 29(11): 1382-1389 (2013) - [c2]James Hensman, Nicoló Fusi, Neil D. Lawrence:
Gaussian Processes for Big Data. UAI 2013 - [i1]James Hensman, Nicoló Fusi, Neil D. Lawrence:
Gaussian Processes for Big Data. CoRR abs/1309.6835 (2013) - 2012
- [j1]Nicoló Fusi, Oliver Stegle, Neil D. Lawrence:
Joint Modelling of Confounding Factors and Prominent Genetic Regulators Provides Increased Accuracy in Genetical Genomics Studies. PLoS Comput. Biol. 8(1) (2012)
2000 – 2009
- 2008
- [c1]Andrea Visconti, Nicoló Fusi, Hooman Tahayori:
Intrusion Detection via Artificial Immune System: a Performance-based Approach. BICC 2008: 125-135
Coauthor Index
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