Jeremy Reizenstein

18 papers A* 4Journal 14

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Characterizing and Efficiently Accelerating Multimodal Generation Model Inference. IEEE Micro Yejin Lee, Alicia Golden, Anna Y. Sun, Basil Hosmer, Bilge Acun, Can Balioglu, Changhan Wang, Charles David Hernandez, Christian Puhrsch, Daniel Haziza, Driss Guessous, Francisco Massa, Jacob Kahn, Jeffrey Wan, Jeremy Reizenstein, Jiaqi Zhai, Joe Isaacson, Joel Schlosser, Juan Pino, Kaushik Ram Sadagopan, Leonid Shamis, Linjian Ma, Min-Jae Hwang, Mingda Chen, Mostafa Elhoushi, Pedro Rodríguez, Ram Pasunuru, Samuel Hsia, Scott Yih, Sravya Popuri, Xing Liu, Carole-Jean Wu
2025	J	`jnl`	Efficient Speculative Decoding for Llama at Scale: Challenges and Solutions. CoRR Bangsheng Tang, Carl Chengyan Fu, Fei Kou, Grigory Sizov, Haoci Zhang, Jason Park, Jiawen Liu, Jie You, Qirui Yang, Sachin Mehta, Shengyong Cai, Xiaodong Wang, Xingyu Liu, Yunlu Li, Yanjun Zhou, Wei Wei, Zhiwei Zhao, Zixi Qi, Adolfo Victoria, Aya Ibrahim, Bram Wasti, Changkyu Kim, Daniel Haziza, Fei Sun, Giancarlo Delfin, Emily Guo, Jialin Ouyang, Jaewon Lee, Jianyu Huang, Jeremy Reizenstein, Lu Fang, Quinn Zhu, Ria Verma, Vlad Mihailescu, Xingwen Guo, Yan Cui, Ye Hu, Yejin Lee
2025	J	`jnl`	Set Block Decoding is a Language Model Inference Accelerator. CoRR Itai Gat, Heli Ben-Hamu, Marton Havasi, Daniel Haziza, Jeremy Reizenstein, Gabriel Synnaeve, David Lopez-Paz, Brian Karrer, Yaron Lipman
2024	J	`jnl`	Characterizing and Efficiently Accelerating Multimodal Generation Model Inference. CoRR Yejin Lee, Anna Y. Sun, Basil Hosmer, Bilge Acun, Can Balioglu, Changhan Wang, Charles David Hernandez, Christian Puhrsch, Daniel Haziza, Driss Guessous, Francisco Massa, Jacob Kahn, Jeffrey Wan, Jeremy Reizenstein, Jiaqi Zhai, Joe Isaacson, Joel Schlosser, Juan Pino, Kaushik Ram Sadagopan, Leonid Shamis, Linjian Ma, Min-Jae Hwang, Mingda Chen, Mostafa Elhoushi, Pedro Rodriguez, Ram Pasunuru, Scott Yih, Sravya Popuri, Xing Liu, Carole-Jean Wu
2024	J	`jnl`	Context Parallelism for Scalable Million-Token Inference. CoRR Amy Yang, Jingyi Yang, Aya Ibrahim, Xinfeng Xie, Bangsheng Tang, Grigory Sizov, Jeremy Reizenstein, Jongsoo Park, Jianyu Huang
2023	A*	`conf`	Common Pets in 3D: Dynamic New-View Synthesis of Real-Life Deformable Categories. CVPR Samarth Sinha, Roman Shapovalov, Jeremy Reizenstein, Ignacio Rocco, Natalia Neverova, Andrea Vedaldi, David Novotný
2023	J	`jnl`	Llama 2: Open Foundation and Fine-Tuned Chat Models. CoRR 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
2022	J	`jnl`	Common Pets in 3D: Dynamic New-View Synthesis of Real-Life Deformable Categories. CoRR Samarth Sinha, Roman Shapovalov, Jeremy Reizenstein, Ignacio Rocco, Natalia Neverova, Andrea Vedaldi, David Novotný
2021	A*	`conf`	Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life 3D Category Reconstruction. ICCV Jeremy Reizenstein, Roman Shapovalov, Philipp Henzler, Luca Sbordone, Patrick Labatut, David Novotný
2021	J	`jnl`	Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life 3D Category Reconstruction. CoRR Jeremy Reizenstein, Roman Shapovalov, Philipp Henzler, Luca Sbordone, Patrick Labatut, David Novotný
2021	A*	`conf`	Unsupervised Learning of 3D Object Categories From Videos in the Wild. CVPR Philipp Henzler, Jeremy Reizenstein, Patrick Labatut, Roman Shapovalov, Tobias Ritschel, Andrea Vedaldi, David Novotný
2021	J	`jnl`	Unsupervised Learning of 3D Object Categories from Videos in the Wild. CoRR Philipp Henzler, Jeremy Reizenstein, Patrick Labatut, Roman Shapovalov, Tobias Ritschel, Andrea Vedaldi, David Novotný
2020	J	`jnl`	Accelerating 3D Deep Learning with PyTorch3D. CoRR Nikhila Ravi, Jeremy Reizenstein, David Novotný, Taylor Gordon, Wan-Yen Lo, Justin Johnson, Georgia Gkioxari
2020	J	`jnl`	Algorithm 1004: The Iisignature Library: Efficient Calculation of Iterated-Integral Signatures and Log Signatures. ACM Trans. Math. Softw. Jeremy Reizenstein, Benjamin Graham
2019	A*	`conf`	PerspectiveNet: A Scene-consistent Image Generator for New View Synthesis in Real Indoor Environments. NeurIPS David Novotný, Benjamin Graham, Jeremy Reizenstein
2018	J	`jnl`	Invariants of multidimensional time series based on their iterated-integral signature. CoRR Joscha Diehl, Jeremy Reizenstein
2018	J	`jnl`	The iisignature library: efficient calculation of iterated-integral signatures and log signatures. CoRR Jeremy Reizenstein, Benjamin Graham
2015	J	`jnl`	Efficient batchwise dropout training using submatrices. CoRR Benjamin Graham, Jeremy Reizenstein, Leigh Robinson