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
Neil Tenenholtz
Principal Research Engineer
Papiers de Collaboration
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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
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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
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Tag-LLM: Repurposing General-Purpose LLMs for Specialized Domains
Junhong Shen, Neil Tenenholtz, James Hall, David Alvarez-Melis, Nicolo Fusi
ICML 2024 | February 2024
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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
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Initialization and Regularization of Factorized Neural Layers
Mikhail Khodak, Neil Tenenholtz, Lester Mackey, Nicolo Fusi
2021 International Conference on Learning Representations | May 2021
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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
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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
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Tag-LLM: Repurposing General-Purpose LLMs for Specialized Domains
Junhong Shen, Neil Tenenholtz, James Hall, David Alvarez-Melis, Nicolo Fusi
ICML 2024 | February 2024
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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
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Initialization and Regularization of Factorized Neural Layers
Mikhail Khodak, Neil Tenenholtz, Lester Mackey, Nicolo Fusi
2021 International Conference on Learning Representations | May 2021
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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
-
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
-
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
-
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
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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
-
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Initialization and Regularization of Factorized Neural Layers
Mikhail Khodak, Neil Tenenholtz, Lester Mackey, Nicolo Fusi
2021 International Conference on Learning Representations | May 2021
-
-
-
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
-
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
-
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
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-
Tag-LLM: Repurposing General-Purpose LLMs for Specialized Domains
Junhong Shen, Neil Tenenholtz, James Hall, David Alvarez-Melis, Nicolo Fusi
ICML 2024 | February 2024
-
Initialization and Regularization of Factorized Neural Layers
Mikhail Khodak, Neil Tenenholtz, Lester Mackey, Nicolo Fusi
2021 International Conference on Learning Representations | May 2021
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-
-
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
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