Philipp Witte

Researcher

출판물

자료 보기:

- Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone
  
  Marah I Abdin, Sam Ade Jacobs, Ammar Ahmad Awan, Jyoti Aneja, Ahmed Awadallah, Hany Hassan Awadalla, Nguyen Bach, Amit Bahree, Arash Bakhtiari, Harkirat Behl, Alon Benhaim, Misha Bilenko, Johan Bjorck, Sébastien Bubeck, Martin Cai, Caio César Teodoro Mendes, Weizhu Chen, Vishrav Chaudhary, Parul Chopra, Allie Del Giorno, Gustavo de Rosa, Matthew Dixon, Ronen Eldan, Dan Iter, Abhishek Goswami, Suriya Gunasekar, Emman Haider, Junheng Hao, Russell J. Hewett, Jamie Huynh, Mojan Javaheripi, Xin Jin, Piero Kauffmann, Nikos Karampatziakis, Dongwoo Kim, Mahmoud Khademi, Lev Kurilenko, James R. Lee, Yin Tat Lee, Yuanzhi Li, Chen Liang, Weishung Liu, Xihui (Eric) Lin, Zeqi Lin, Piyush Madan, Arindam Mitra, Hardik Modi, Anh Nguyen, Brandon Norick, Barun Patra, Daniel Perez-Becker, Thomas Portet, Reid Pryzant, Heyang Qin, Marko Radmilac, Corby Rosset, Sambudha Roy, Olli Saarikivi, Amin Saied, Adil Salim, Michael Santacroce, Shital Shah, Ning Shang, Hiteshi Sharma, Xia Song, Olatunji Ruwase, Xin Wang, Rachel Ward, Guanhua Wang, Philipp Witte, Michael Wyatt, Can Xu, Jiahang Xu, Weijian Xu, Sonali Yadav, Fan Yang, Ziyi Yang, Donghan Yu, Chengruidong Zhang, Cyril Zhang, Jianwen Zhang, Li Lyna Zhang, Yi Zhang, Yunan Zhang, Xiren Zhou
  
  MSR-TR-2024-12 | August 2024
  
  글쓴이 Microsoft
  
  Publication 동영상 Access 프로젝트
- Imaging and seismic modelling inside volcanoes using machine learning
  
  Gareth Shane O'Brien, Christopher J. Bean, Hugo Meiland, Philipp Witte
  
  Nature Scientific Reports | January 2023, 제 13 권
  
  Publication
- Industry-scale CO2 Flow Simulations with Model-Parallel Fourier Neural Operators
  
  Philipp Witte, Russell Hewett, Ranveer Chandra
  
  NeurIPS 2022 Workshop Tackling Climate Change with Machine Learning | December 2022
  
  Publication 프로젝트
- Surrogate Modeling for Methane Dispersion Simulations Using Fourier Neural Operator
  
  Qie Zhang, Micro Milletari, Yagna Oruganti, Philipp Witte
  
  NeurIPS 2022 Workshop Tackling Climate Change with Machine Learning | December 2022
  
  Proposal Track
  
  Publication 프로젝트
- SciAI4Industry – Solving PDEs for industry-scale problems with deep learning
  
  Philipp Witte, Russell Hewett, Kumar Saurabh, AmirHossein Sojoodi, Ranveer Chandra
  
  November 2022
  
  Publication 프로젝트
- Accelerating innovation with software abstractions for scalable computational geophysics
  
  Mathias Louboutin, Philipp Witte, Ali Siahkoohi, Gabrio Rizzuti, Ziyi Yin, Rafael Orozco, Felix Herrmann
  
  International Meeting for Applied Geoscience & Energy (IMAGE) | October 2022
  
  Publication 프로젝트
- Open Benchmarking Platform for Data Inversion Methods
  
  Gerard Gorman, Fabio Luporini, Amik St-Cyr, Alexander Loddoch, A. Souza, Philipp Witte, Ken Hester, Fabrice Dupros, Mauricio Araya
  
  Sixth EAGE High Performance Computing Workshop | September 2022
  
  Publication 프로젝트
- Low-cost time-lapse seismic imaging of CCS with the joint recovery model
  
  Felix J. Herrmann, Mathias Louboutin, Ziyi Yin, Philipp Witte
  
  IMAGE 2021 | September 2021
  
  Workshop: Geophysical Challenges in Presalt Carbonates
  
  Publication 프로젝트
- InvertibleNetworks.jl – Memory efficient deep learning in Julia
  
  Philipp Witte, Mathias Louboutin, Ali Siahkoohi, Felix J. Herrmann, Gabrio Rizzuti, Bas Peters
  
  JuliaCon 2021 | July 2021
  
  Publication 프로젝트
- Redwood: A framework for clusterless supercomputing in the cloud
  
  Philipp Witte
  
  JuliaCon 2021 | July 2021
  
  Publication 프로젝트
- Preconditioned training of normalizing flows for variational inference in inverse problems
  
  Ali Siahkoohi, Gabrio Rizzuti, Mathias Louboutin, Philipp Witte, Felix J. Herrmann
  
  AABI 2021 | January 2021
  
  Publication 프로젝트

- Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone
  
  Marah I Abdin, Sam Ade Jacobs, Ammar Ahmad Awan, Jyoti Aneja, Ahmed Awadallah, Hany Hassan Awadalla, Nguyen Bach, Amit Bahree, Arash Bakhtiari, Harkirat Behl, Alon Benhaim, Misha Bilenko, Johan Bjorck, Sébastien Bubeck, Martin Cai, Caio César Teodoro Mendes, Weizhu Chen, Vishrav Chaudhary, Parul Chopra, Allie Del Giorno, Gustavo de Rosa, Matthew Dixon, Ronen Eldan, Dan Iter, Abhishek Goswami, Suriya Gunasekar, Emman Haider, Junheng Hao, Russell J. Hewett, Jamie Huynh, Mojan Javaheripi, Xin Jin, Piero Kauffmann, Nikos Karampatziakis, Dongwoo Kim, Mahmoud Khademi, Lev Kurilenko, James R. Lee, Yin Tat Lee, Yuanzhi Li, Chen Liang, Weishung Liu, Xihui (Eric) Lin, Zeqi Lin, Piyush Madan, Arindam Mitra, Hardik Modi, Anh Nguyen, Brandon Norick, Barun Patra, Daniel Perez-Becker, Thomas Portet, Reid Pryzant, Heyang Qin, Marko Radmilac, Corby Rosset, Sambudha Roy, Olli Saarikivi, Amin Saied, Adil Salim, Michael Santacroce, Shital Shah, Ning Shang, Hiteshi Sharma, Xia Song, Olatunji Ruwase, Xin Wang, Rachel Ward, Guanhua Wang, Philipp Witte, Michael Wyatt, Can Xu, Jiahang Xu, Weijian Xu, Sonali Yadav, Fan Yang, Ziyi Yang, Donghan Yu, Chengruidong Zhang, Cyril Zhang, Jianwen Zhang, Li Lyna Zhang, Yi Zhang, Yunan Zhang, Xiren Zhou
  
  MSR-TR-2024-12 | August 2024
  
  글쓴이 Microsoft
  
  Publication 동영상 Access 프로젝트
- Imaging and seismic modelling inside volcanoes using machine learning
  
  Gareth Shane O'Brien, Christopher J. Bean, Hugo Meiland, Philipp Witte
  
  Nature Scientific Reports | January 2023, 제 13 권
  
  Publication
- Surrogate Modeling for Methane Dispersion Simulations Using Fourier Neural Operator
  
  Qie Zhang, Micro Milletari, Yagna Oruganti, Philipp Witte
  
  NeurIPS 2022 Workshop Tackling Climate Change with Machine Learning | December 2022
  
  Proposal Track
  
  Publication 프로젝트
- Industry-scale CO2 Flow Simulations with Model-Parallel Fourier Neural Operators
  
  Philipp Witte, Russell Hewett, Ranveer Chandra
  
  NeurIPS 2022 Workshop Tackling Climate Change with Machine Learning | December 2022
  
  Publication 프로젝트
- SciAI4Industry – Solving PDEs for industry-scale problems with deep learning
  
  Philipp Witte, Russell Hewett, Kumar Saurabh, AmirHossein Sojoodi, Ranveer Chandra
  
  November 2022
  
  Publication 프로젝트
- InvertibleNetworks.jl – Memory efficient deep learning in Julia
  
  Philipp Witte, Mathias Louboutin, Ali Siahkoohi, Felix J. Herrmann, Gabrio Rizzuti, Bas Peters
  
  JuliaCon 2021 | July 2021
  
  Publication 프로젝트
- Redwood: A framework for clusterless supercomputing in the cloud
  
  Philipp Witte
  
  JuliaCon 2021 | July 2021
  
  Publication 프로젝트
- Preconditioned training of normalizing flows for variational inference in inverse problems
  
  Ali Siahkoohi, Gabrio Rizzuti, Mathias Louboutin, Philipp Witte, Felix J. Herrmann
  
  AABI 2021 | January 2021
  
  Publication 프로젝트
- SciAI4Industry – Solving PDEs for industry-scale problems with deep learning
  
  Philipp Witte, Russell Hewett, Kumar Saurabh, AmirHossein Sojoodi, Ranveer Chandra
  
  November 2022
  
  Publication 프로젝트
- Accelerating innovation with software abstractions for scalable computational geophysics
  
  Mathias Louboutin, Philipp Witte, Ali Siahkoohi, Gabrio Rizzuti, Ziyi Yin, Rafael Orozco, Felix Herrmann
  
  International Meeting for Applied Geoscience & Energy (IMAGE) | October 2022
  
  Publication 프로젝트
- Open Benchmarking Platform for Data Inversion Methods
  
  Gerard Gorman, Fabio Luporini, Amik St-Cyr, Alexander Loddoch, A. Souza, Philipp Witte, Ken Hester, Fabrice Dupros, Mauricio Araya
  
  Sixth EAGE High Performance Computing Workshop | September 2022
  
  Publication 프로젝트
- Low-cost time-lapse seismic imaging of CCS with the joint recovery model
  
  Felix J. Herrmann, Mathias Louboutin, Ziyi Yin, Philipp Witte
  
  IMAGE 2021 | September 2021
  
  Workshop: Geophysical Challenges in Presalt Carbonates
  
  Publication 프로젝트

- Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone
  
  Marah I Abdin, Sam Ade Jacobs, Ammar Ahmad Awan, Jyoti Aneja, Ahmed Awadallah, Hany Hassan Awadalla, Nguyen Bach, Amit Bahree, Arash Bakhtiari, Harkirat Behl, Alon Benhaim, Misha Bilenko, Johan Bjorck, Sébastien Bubeck, Martin Cai, Caio César Teodoro Mendes, Weizhu Chen, Vishrav Chaudhary, Parul Chopra, Allie Del Giorno, Gustavo de Rosa, Matthew Dixon, Ronen Eldan, Dan Iter, Abhishek Goswami, Suriya Gunasekar, Emman Haider, Junheng Hao, Russell J. Hewett, Jamie Huynh, Mojan Javaheripi, Xin Jin, Piero Kauffmann, Nikos Karampatziakis, Dongwoo Kim, Mahmoud Khademi, Lev Kurilenko, James R. Lee, Yin Tat Lee, Yuanzhi Li, Chen Liang, Weishung Liu, Xihui (Eric) Lin, Zeqi Lin, Piyush Madan, Arindam Mitra, Hardik Modi, Anh Nguyen, Brandon Norick, Barun Patra, Daniel Perez-Becker, Thomas Portet, Reid Pryzant, Heyang Qin, Marko Radmilac, Corby Rosset, Sambudha Roy, Olli Saarikivi, Amin Saied, Adil Salim, Michael Santacroce, Shital Shah, Ning Shang, Hiteshi Sharma, Xia Song, Olatunji Ruwase, Xin Wang, Rachel Ward, Guanhua Wang, Philipp Witte, Michael Wyatt, Can Xu, Jiahang Xu, Weijian Xu, Sonali Yadav, Fan Yang, Ziyi Yang, Donghan Yu, Chengruidong Zhang, Cyril Zhang, Jianwen Zhang, Li Lyna Zhang, Yi Zhang, Yunan Zhang, Xiren Zhou
  
  MSR-TR-2024-12 | August 2024
  
  글쓴이 Microsoft
  
  Publication 동영상 Access 프로젝트
- Imaging and seismic modelling inside volcanoes using machine learning
  
  Gareth Shane O'Brien, Christopher J. Bean, Hugo Meiland, Philipp Witte
  
  Nature Scientific Reports | January 2023, 제 13 권
  
  Publication
- SciAI4Industry – Solving PDEs for industry-scale problems with deep learning
  
  Philipp Witte, Russell Hewett, Kumar Saurabh, AmirHossein Sojoodi, Ranveer Chandra
  
  November 2022
  
  Publication 프로젝트
- Surrogate Modeling for Methane Dispersion Simulations Using Fourier Neural Operator
  
  Qie Zhang, Micro Milletari, Yagna Oruganti, Philipp Witte
  
  NeurIPS 2022 Workshop Tackling Climate Change with Machine Learning | December 2022
  
  Proposal Track
  
  Publication 프로젝트
- Industry-scale CO2 Flow Simulations with Model-Parallel Fourier Neural Operators
  
  Philipp Witte, Russell Hewett, Ranveer Chandra
  
  NeurIPS 2022 Workshop Tackling Climate Change with Machine Learning | December 2022
  
  Publication 프로젝트
- Accelerating innovation with software abstractions for scalable computational geophysics
  
  Mathias Louboutin, Philipp Witte, Ali Siahkoohi, Gabrio Rizzuti, Ziyi Yin, Rafael Orozco, Felix Herrmann
  
  International Meeting for Applied Geoscience & Energy (IMAGE) | October 2022
  
  Publication 프로젝트
- Open Benchmarking Platform for Data Inversion Methods
  
  Gerard Gorman, Fabio Luporini, Amik St-Cyr, Alexander Loddoch, A. Souza, Philipp Witte, Ken Hester, Fabrice Dupros, Mauricio Araya
  
  Sixth EAGE High Performance Computing Workshop | September 2022
  
  Publication 프로젝트
- Low-cost time-lapse seismic imaging of CCS with the joint recovery model
  
  Felix J. Herrmann, Mathias Louboutin, Ziyi Yin, Philipp Witte
  
  IMAGE 2021 | September 2021
  
  Workshop: Geophysical Challenges in Presalt Carbonates
  
  Publication 프로젝트
- InvertibleNetworks.jl – Memory efficient deep learning in Julia
  
  Philipp Witte, Mathias Louboutin, Ali Siahkoohi, Felix J. Herrmann, Gabrio Rizzuti, Bas Peters
  
  JuliaCon 2021 | July 2021
  
  Publication 프로젝트
- Redwood: A framework for clusterless supercomputing in the cloud
  
  Philipp Witte
  
  JuliaCon 2021 | July 2021
  
  Publication 프로젝트
- Preconditioned training of normalizing flows for variational inference in inverse problems
  
  Ali Siahkoohi, Gabrio Rizzuti, Mathias Louboutin, Philipp Witte, Felix J. Herrmann
  
  AABI 2021 | January 2021
  
  Publication 프로젝트

Philipp Witte

출판물

Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Imaging and seismic modelling inside volcanoes using machine learning

Industry-scale CO2 Flow Simulations with Model-Parallel Fourier Neural Operators

Surrogate Modeling for Methane Dispersion Simulations Using Fourier Neural Operator

SciAI4Industry – Solving PDEs for industry-scale problems with deep learning

Accelerating innovation with software abstractions for scalable computational geophysics

Open Benchmarking Platform for Data Inversion Methods

Low-cost time-lapse seismic imaging of CCS with the joint recovery model

InvertibleNetworks.jl – Memory efficient deep learning in Julia

Redwood: A framework for clusterless supercomputing in the cloud

Preconditioned training of normalizing flows for variational inference in inverse problems

Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Imaging and seismic modelling inside volcanoes using machine learning

Surrogate Modeling for Methane Dispersion Simulations Using Fourier Neural Operator

Industry-scale CO2 Flow Simulations with Model-Parallel Fourier Neural Operators

SciAI4Industry – Solving PDEs for industry-scale problems with deep learning

InvertibleNetworks.jl – Memory efficient deep learning in Julia

Redwood: A framework for clusterless supercomputing in the cloud

Preconditioned training of normalizing flows for variational inference in inverse problems

SciAI4Industry – Solving PDEs for industry-scale problems with deep learning

Accelerating innovation with software abstractions for scalable computational geophysics

Open Benchmarking Platform for Data Inversion Methods

Low-cost time-lapse seismic imaging of CCS with the joint recovery model

Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Imaging and seismic modelling inside volcanoes using machine learning

SciAI4Industry – Solving PDEs for industry-scale problems with deep learning

Surrogate Modeling for Methane Dispersion Simulations Using Fourier Neural Operator

Industry-scale CO2 Flow Simulations with Model-Parallel Fourier Neural Operators

Accelerating innovation with software abstractions for scalable computational geophysics

Open Benchmarking Platform for Data Inversion Methods

Low-cost time-lapse seismic imaging of CCS with the joint recovery model

InvertibleNetworks.jl – Memory efficient deep learning in Julia

Redwood: A framework for clusterless supercomputing in the cloud

Preconditioned training of normalizing flows for variational inference in inverse problems