Jeremy Reizenstein

According to our database, Jeremy Reizenstein authored at least 10 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Llama 2: Open Foundation and Fine-Tuned Chat Models.

Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, Dan Bikel, Lukas Blecher, Cristian Canton-Ferrer, Moya Chen, Guillem Cucurull, David Esiobu, Jude Fernandes, Jeremy Fu, Wenyin Fu, Brian Fuller, Cynthia Gao, Vedanuj Goswami, Naman Goyal, Anthony Hartshorn, Saghar Hosseini, Rui Hou, Hakan Inan, Marcin Kardas, Viktor Kerkez, Madian Khabsa, Isabel Kloumann, Artem Korenev, Punit Singh Koura, Marie-Anne Lachaux, Thibaut Lavril, Jenya Lee, Diana Liskovich, Yinghai Lu, Yuning Mao, Xavier Martinet, Todor Mihaylov, Pushkar Mishra, Igor Molybog, Yixin Nie, Andrew Poulton, Jeremy Reizenstein, Rashi Rungta, Kalyan Saladi, Alan Schelten, Ruan Silva, Eric Michael Smith, Ranjan Subramanian, Xiaoqing Ellen Tan, Binh Tang, Ross Taylor, Adina Williams, Jian Xiang Kuan, Puxin Xu, Zheng Yan, Iliyan Zarov, Yuchen Zhang, Angela Fan, Melanie Kambadur, Sharan Narang, Aurélien Rodriguez, Robert Stojnic, Sergey Edunov, Thomas Scialom

CoRR, 2023

Common Pets in 3D: Dynamic New-View Synthesis of Real-Life Deformable Categories.

Samarth Sinha, Roman Shapovalov, Jeremy Reizenstein, Ignacio Rocco, Natalia Neverova, Andrea Vedaldi, David Novotný

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2021

Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life 3D Category Reconstruction.

Jeremy Reizenstein, Roman Shapovalov, Philipp Henzler, Luca Sbordone, Patrick Labatut, David Novotný

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Unsupervised Learning of 3D Object Categories From Videos in the Wild.

Philipp Henzler, Jeremy Reizenstein, Patrick Labatut, Roman Shapovalov, Tobias Ritschel, Andrea Vedaldi, David Novotný

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Algorithm 1004: The Iisignature Library: Efficient Calculation of Iterated-Integral Signatures and Log Signatures.

Jeremy Reizenstein, Benjamin Graham

ACM Trans. Math. Softw., 2020

Accelerating 3D Deep Learning with PyTorch3D.

Nikhila Ravi, Jeremy Reizenstein, David Novotný, Taylor Gordon, Wan-Yen Lo, Justin Johnson, Georgia Gkioxari

CoRR, 2020

2019

PerspectiveNet: A Scene-consistent Image Generator for New View Synthesis in Real Indoor Environments.

David Novotný, Benjamin Graham, Jeremy Reizenstein

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

The iisignature library: efficient calculation of iterated-integral signatures and log signatures.

Jeremy Reizenstein, Benjamin Graham

CoRR, 2018

Invariants of multidimensional time series based on their iterated-integral signature.

Joscha Diehl, Jeremy Reizenstein

CoRR, 2018

2015

Efficient batchwise dropout training using submatrices.

Benjamin Graham, Jeremy Reizenstein, Leigh Robinson

CoRR, 2015