Neil Tenenholtz

Protein generation with evolutionary diffusion: sequence is all you need

Sarah Alamdari, Nitya Thakkar, Rianne van den Berg, Neil Tenenholtz, Robert Strome, Alan M. Moses, Alex Lu, Nicolo Fusi, Ava P. Amini, Kevin Kaichuang Yang

bioRxiv | November 2024

DOI Preprint

Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology

Eric Zimmermann, Eugene Vorontsov, Julian Viret, Adam Casson, Michal Zelechowski, George Shaikovski, Neil Tenenholtz, Jimmy Hall, Thomas J. Fuchs, Nicolo Fusi, Siqi Liu, Kristen Severson

July 2024

Publication

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

Junhong Shen, Neil Tenenholtz, James Hall, David Alvarez-Melis, Nicolo Fusi

ICML 2024 | February 2024

DOI Publication Publication

Virchow: A Million-Slide Digital Pathology Foundation Model

Eugene Vorontsov, A. Bozkurt, Adam Casson, George Shaikovski, Michal Zelechowski, Siqi Liu, Kristen Severson, Eric Zimmermann, James Hall, Neil Tenenholtz, Nicolo Fusi, Philippe Mathieu, Alexander van Eck, Donghun Lee, Julian Viret, Eric Robert, Yi Kan Wang, Jeremy D. Kun, Matthew C. H. Le, Jan H Bernhard, R. Godrich, Gerard Oakley, Ewan Millar, Matthew G Hanna, J. Retamero, William A. Moye, Razik Yousfi, Christopher Kanan, D. Klimstra, B. Rothrock, Thomas J. Fuchs

September 2023

DOI Publication Publication Publication

Initialization and Regularization of Factorized Neural Layers

Mikhail Khodak, Neil Tenenholtz, Lester Mackey, Nicolo Fusi

2021 International Conference on Learning Representations | May 2021

Publication Publication Github Project Project

Protein generation with evolutionary diffusion: sequence is all you need

Sarah Alamdari, Nitya Thakkar, Rianne van den Berg, Neil Tenenholtz, Robert Strome, Alan M. Moses, Alex Lu, Nicolo Fusi, Ava P. Amini, Kevin Kaichuang Yang

bioRxiv | November 2024

DOI Preprint

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

Junhong Shen, Neil Tenenholtz, James Hall, David Alvarez-Melis, Nicolo Fusi

ICML 2024 | February 2024

DOI Publication Publication

Virchow: A Million-Slide Digital Pathology Foundation Model

Eugene Vorontsov, A. Bozkurt, Adam Casson, George Shaikovski, Michal Zelechowski, Siqi Liu, Kristen Severson, Eric Zimmermann, James Hall, Neil Tenenholtz, Nicolo Fusi, Philippe Mathieu, Alexander van Eck, Donghun Lee, Julian Viret, Eric Robert, Yi Kan Wang, Jeremy D. Kun, Matthew C. H. Le, Jan H Bernhard, R. Godrich, Gerard Oakley, Ewan Millar, Matthew G Hanna, J. Retamero, William A. Moye, Razik Yousfi, Christopher Kanan, D. Klimstra, B. Rothrock, Thomas J. Fuchs

September 2023

DOI Publication Publication Publication

Initialization and Regularization of Factorized Neural Layers

Mikhail Khodak, Neil Tenenholtz, Lester Mackey, Nicolo Fusi

2021 International Conference on Learning Representations | May 2021

Publication Publication Github Project Project

Protein generation with evolutionary diffusion: sequence is all you need

Sarah Alamdari, Nitya Thakkar, Rianne van den Berg, Neil Tenenholtz, Robert Strome, Alan M. Moses, Alex Lu, Nicolo Fusi, Ava P. Amini, Kevin Kaichuang Yang

bioRxiv | November 2024

DOI Preprint

Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology

Eric Zimmermann, Eugene Vorontsov, Julian Viret, Adam Casson, Michal Zelechowski, George Shaikovski, Neil Tenenholtz, Jimmy Hall, Thomas J. Fuchs, Nicolo Fusi, Siqi Liu, Kristen Severson

July 2024

Publication

Virchow: A Million-Slide Digital Pathology Foundation Model

Eugene Vorontsov, A. Bozkurt, Adam Casson, George Shaikovski, Michal Zelechowski, Siqi Liu, Kristen Severson, Eric Zimmermann, James Hall, Neil Tenenholtz, Nicolo Fusi, Philippe Mathieu, Alexander van Eck, Donghun Lee, Julian Viret, Eric Robert, Yi Kan Wang, Jeremy D. Kun, Matthew C. H. Le, Jan H Bernhard, R. Godrich, Gerard Oakley, Ewan Millar, Matthew G Hanna, J. Retamero, William A. Moye, Razik Yousfi, Christopher Kanan, D. Klimstra, B. Rothrock, Thomas J. Fuchs

September 2023

DOI Publication Publication Publication

Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology

Eric Zimmermann, Eugene Vorontsov, Julian Viret, Adam Casson, Michal Zelechowski, George Shaikovski, Neil Tenenholtz, Jimmy Hall, Thomas J. Fuchs, Nicolo Fusi, Siqi Liu, Kristen Severson

July 2024

Publication

Initialization and Regularization of Factorized Neural Layers

Mikhail Khodak, Neil Tenenholtz, Lester Mackey, Nicolo Fusi

2021 International Conference on Learning Representations | May 2021

Publication Publication Github Project Project

Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology

Eric Zimmermann, Eugene Vorontsov, Julian Viret, Adam Casson, Michal Zelechowski, George Shaikovski, Neil Tenenholtz, Jimmy Hall, Thomas J. Fuchs, Nicolo Fusi, Siqi Liu, Kristen Severson

July 2024

Publication

Virchow: A Million-Slide Digital Pathology Foundation Model

Eugene Vorontsov, A. Bozkurt, Adam Casson, George Shaikovski, Michal Zelechowski, Siqi Liu, Kristen Severson, Eric Zimmermann, James Hall, Neil Tenenholtz, Nicolo Fusi, Philippe Mathieu, Alexander van Eck, Donghun Lee, Julian Viret, Eric Robert, Yi Kan Wang, Jeremy D. Kun, Matthew C. H. Le, Jan H Bernhard, R. Godrich, Gerard Oakley, Ewan Millar, Matthew G Hanna, J. Retamero, William A. Moye, Razik Yousfi, Christopher Kanan, D. Klimstra, B. Rothrock, Thomas J. Fuchs

September 2023

DOI Publication Publication Publication

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

Junhong Shen, Neil Tenenholtz, James Hall, David Alvarez-Melis, Nicolo Fusi

ICML 2024 | February 2024

DOI Publication Publication

Initialization and Regularization of Factorized Neural Layers

Mikhail Khodak, Neil Tenenholtz, Lester Mackey, Nicolo Fusi

2021 International Conference on Learning Representations | May 2021

Publication Publication Github Project Project

Protein generation with evolutionary diffusion: sequence is all you need

Sarah Alamdari, Nitya Thakkar, Rianne van den Berg, Neil Tenenholtz, Robert Strome, Alan M. Moses, Alex Lu, Nicolo Fusi, Ava P. Amini, Kevin Kaichuang Yang

bioRxiv | November 2024

DOI Preprint