Efficient batchwise dropout training using submatrices. - Benjamin Graham; Jeremy Reizenstein; Leigh Robinson (CoRR, 2015)

Invariants of multidimensional time series based on their iterated-integral signature. - Joscha Diehl; Jeremy Reizenstein (CoRR, 2018)

The iisignature library: efficient calculation of iterated-integral signatures and log signatures. - Jeremy Reizenstein; Benjamin Graham (CoRR, 2018)

PerspectiveNet: A Scene-consistent Image Generator for New View Synthesis in Real Indoor Environments. - David Novotný; Benjamin Graham; Jeremy Reizenstein (NeurIPS, 2019)

Accelerating 3D Deep Learning with PyTorch3D. - Nikhila Ravi; Jeremy Reizenstein; David Novotný; Taylor Gordon; Wan-Yen Lo; Justin Johnson 001; Georgia Gkioxari (CoRR, 2020)

Algorithm 1004: The Iisignature Library: Efficient Calculation of Iterated-Integral Signatures and Log Signatures. - Jeremy Reizenstein; Benjamin Graham (ACM Trans. Math. Softw., 2020)

Unsupervised Learning of 3D Object Categories From Videos in the Wild. - Philipp Henzler; Jeremy Reizenstein; Patrick Labatut; Roman Shapovalov; Tobias Ritschel 001; Andrea Vedaldi; David Novotný (CVPR, 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 (ICCV, 2021)

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 (CVPR, 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; et al. (CoRR, 2023)

Characterizing and Efficiently Accelerating Multimodal Generation Model Inference. - Yejin Lee 010; Anna Y. Sun; Basil Hosmer; Bilge Acun; Can Balioglu; Changhan Wang; Charles David Hernandez; Christian Puhrsch; Daniel Haziza; Driss Guessous; Francisco Massa; Jacob Kahn; et al. (CoRR, 2024)

Context Parallelism for Scalable Million-Token Inference. - Amy Yang; Jingyi Yang; Aya Ibrahim; Xinfeng Xie; Bangsheng Tang; Grigory Sizov; Jeremy Reizenstein; Jongsoo Park; Jianyu Huang (CoRR, 2024)