Ajay Jain

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Pieter AbbeelUC Berkeley | CovariantVerified email at cs.berkeley.edu
Jonathan HoVerified email at berkeley.edu
Ben PooleResearch Scientist at Google DeepMindVerified email at stanford.edu
Ben MildenhallCofounder, World LabsVerified email at worldlabs.ai
Jon BarronSenior Staff Research Scientist at Google ResearchVerified email at google.com
Paras JainPhD Student, UC BerkeleyVerified email at eecs.berkeley.edu
Ion StoicaProfessor of Computer Science, UC BerkeleyVerified email at cs.berkeley.edu
Joseph E. GonzalezProfessor of Computer Science, UC BerkeleyVerified email at berkeley.edu
Matthew TancikLuma AIVerified email at berkeley.edu
Alexey TumanovGeorgia Institute of TechnologyVerified email at gatech.edu
Deepak PathakAssistant Professor, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Amir GholamiResearch Scientist, University of California, BerkeleyVerified email at eecs.berkeley.edu
Renjie LiaoUniversity of British ColumbiaVerified email at ece.ubc.ca
Raquel UrtasunFounder & CEO Waabi, Professor, University of Toronto.Verified email at cs.toronto.edu
Michael (misha) LaskinStaff Research Scientist, DeepMindVerified email at google.com
Saman AmarasingheMITVerified email at mit.edu
Charith MendisUniversity of Illinois at Urbana-ChampaignVerified email at illinois.edu
Pierre LermusiauxProfessor of Mechanical Engineering and Ocean Science and Engineering, MITVerified email at mit.edu

Ajay Jain

UC Berkeley

Verified email at berkeley.edu - Homepage

Machine learning Generative modeling Representation learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Denoising diffusion probabilistic models J Ho, A Jain, P Abbeel Advances in neural information processing systems 33, 6840-6851, 2020	13257	2020
Dreamfusion: Text-to-3d using 2d diffusion B Poole, A Jain, JT Barron, B Mildenhall arXiv preprint arXiv:2209.14988, 2022	1554	2022
Zero-Shot Text-Guided Object Generation with Dream Fields A Jain, B Mildenhall, JT Barron, P Abbeel, B Poole Conference on Computer Vision and Pattern Recognition (CVPR 2022), 2021	476	2021
Putting NeRF on a Diet: Semantically Consistent Few-Shot View Synthesis A Jain, M Tancik, P Abbeel International Conference on Computer Vision, 2021	438	2021
Checkmate: Breaking the Memory Wall with Optimal Tensor Rematerialization P Jain, A Jain, A Nrusimha, A Gholami, P Abbeel, K Keutzer, I Stoica, ... Proceedings of the 3rd Conference on Machine Learning and Systems (MLSys), 2019	182	2019
Contrastive code representation learning P Jain, A Jain, T Zhang, P Abbeel, JE Gonzalez, I Stoica arXiv preprint arXiv:2007.04973, 2020	142	2020
Dynamic Space-Time Scheduling for GPU Inference P Jain, X Mo, A Jain, H Subbaraj, RS Durrani, A Tumanov, J Gonzalez, ... Advances in Neural Information Processing Systems workshop on Systems for …, 2018	87	2018
Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction A Jain, S Casas Romero, R Liao, Y Xiong, S Feng, S Segal, R Urtasun Proceedings of the 3rd Conference on Robot Learning, 2019	80	2019
Sparse graphical memory for robust planning S Emmons, A Jain, M Laskin, T Kurutach, P Abbeel, D Pathak Advances in neural information processing systems 33, 5251-5262, 2020	55	2020
Locally Masked Convolution for Autoregressive Models A Jain, P Abbeel, D Pathak Conference on Uncertainty in Artificial Intelligence (UAI), 2020	31	2020
Video prediction models as rewards for reinforcement learning A Escontrela, A Adeniji, W Yan, A Jain, XB Peng, K Goldberg, Y Lee, ... Advances in Neural Information Processing Systems 36, 2024	24	2024
The ooo vliw jit compiler for gpu inference P Jain, X Mo, A Jain, A Tumanov, JE Gonzalez, I Stoica arXiv preprint arXiv:1901.10008, 2019	18	2019
Revec: Program Rejuvenation through Revectorization C Mendis, A Jain, P Jain, S Amarasinghe Proceedings of the 28th International Conference on Compiler Construction, 2019	17	2019
An analysis of the delayed gradients problem in asynchronous sgd A Srinivasan, A Jain, P Barekatain	10	2018
Autonomy for surface ship interception C Mirabito, DN Subramani, T Lolla, PJ Haley, A Jain, PFJ Lermusiaux, ... OCEANS 2017-Aberdeen, 1-10, 2017	8	2017
Using effective dimension to analyze feature transformations in deep neural networks K Ravichandran, A Jain, A Rakhlin ICML Workshop on Identifying and Understanding Deep Learning Phenomena, 2019	4	2019
Journey to the BAOAB-limit: finding effective MCMC samplers for score-based models A Jain, B Poole NeurIPS 2022 Workshop on Score-Based Methods, 2022	3	2022
Learning Automatic Schedulers with Projective Reparameterization A Jain, S Amarasinghe ISCA Workshop on Machine Learning for Systems, 2019	2	2019

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