Neil Tenenholtz

Principal Research Engineer

出版物

表示方法:

- Causal integration of chemical structures improves representations of microscopy images for morphological profiling
  
  Yemin Yu, Neil Tenenholtz, Lester Mackey, Ying Wei, David Alvarez-Melis, Ava P. Amini, Alex Lu
  
  April 2025
  
  DOI Publication Publication Github
- 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 アクセス
- 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 プロジェクトプロジェクト

- Causal integration of chemical structures improves representations of microscopy images for morphological profiling
  
  Yemin Yu, Neil Tenenholtz, Lester Mackey, Ying Wei, David Alvarez-Melis, Ava P. Amini, Alex Lu
  
  April 2025
  
  DOI Publication Publication Github
- 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 アクセス
- 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 プロジェクトプロジェクト
- Causal integration of chemical structures improves representations of microscopy images for morphological profiling
  
  Yemin Yu, Neil Tenenholtz, Lester Mackey, Ying Wei, David Alvarez-Melis, Ava P. Amini, Alex Lu
  
  April 2025
  
  DOI Publication Publication Github
- 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 アクセス
- 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 プロジェクトプロジェクト

- Causal integration of chemical structures improves representations of microscopy images for morphological profiling
  
  Yemin Yu, Neil Tenenholtz, Lester Mackey, Ying Wei, David Alvarez-Melis, Ava P. Amini, Alex Lu
  
  April 2025
  
  DOI Publication Publication Github
- 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 プロジェクトプロジェクト
- 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 アクセス

Neil Tenenholtz

出版物

Causal integration of chemical structures improves representations of microscopy images for morphological profiling

Protein generation with evolutionary diffusion: sequence is all you need

Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology

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

Virchow: A Million-Slide Digital Pathology Foundation Model

Initialization and Regularization of Factorized Neural Layers

Causal integration of chemical structures improves representations of microscopy images for morphological profiling

Protein generation with evolutionary diffusion: sequence is all you need

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

Virchow: A Million-Slide Digital Pathology Foundation Model

Initialization and Regularization of Factorized Neural Layers

Causal integration of chemical structures improves representations of microscopy images for morphological profiling

Protein generation with evolutionary diffusion: sequence is all you need

Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology

Virchow: A Million-Slide Digital Pathology Foundation Model

Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology

Initialization and Regularization of Factorized Neural Layers

Causal integration of chemical structures improves representations of microscopy images for morphological profiling

Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology

Virchow: A Million-Slide Digital Pathology Foundation Model

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

Initialization and Regularization of Factorized Neural Layers

Protein generation with evolutionary diffusion: sequence is all you need

お問い合わせ Neil Tenenholtz

Microsoft Research Lab – New England