Ajay Jain

Publication Activity (10 Years)

Years Active: 1997-2023
Publications (10 Years): 31

Top Topics

Numeric Attributes

Diffusion Models

Free Viewpoint Video

Top Venues

ACM SIGSOFT Softw. Eng. Notes

Publications

Ben Poole, Ajay Jain, Jonathan T. Barron, Ben Mildenhall
DreamFusion: Text-to-3D using 2D Diffusion. ICLR (2023)
Alejandro Escontrela, Ademi Adeniji, Wilson Yan, Ajay Jain, Xue Bin Peng, Ken Goldberg, Youngwoon Lee, Danijar Hafner, Pieter Abbeel
Video Prediction Models as Rewards for Reinforcement Learning. NeurIPS (2023)
Ajay Jain, Amber Xie, Pieter Abbeel
VectorFusion: Text-to-SVG by Abstracting Pixel-Based Diffusion Models. CVPR (2023)
Alejandro Escontrela, Ademi Adeniji, Wilson Yan, Ajay Jain, Xue Bin Peng, Ken Goldberg, Youngwoon Lee, Danijar Hafner, Pieter Abbeel
Video Prediction Models as Rewards for Reinforcement Learning. CoRR (2023)
Ajay Jain, Amber Xie, Pieter Abbeel
VectorFusion: Text-to-SVG by Abstracting Pixel-Based Diffusion Models. CoRR (2022)
Ben Poole, Ajay Jain, Jonathan T. Barron, Ben Mildenhall
DreamFusion: Text-to-3D using 2D Diffusion. CoRR (2022)
Qiyang Li, Ajay Jain, Pieter Abbeel
AdaCat: Adaptive categorical discretization for autoregressive models. UAI (2022)
Ajay Jain, Ben Mildenhall, Jonathan T. Barron, Pieter Abbeel, Ben Poole
Zero-Shot Text-Guided Object Generation with Dream Fields. CVPR (2022)
Qiyang Li, Ajay Jain, Pieter Abbeel
AdaCat: Adaptive Categorical Discretization for Autoregressive Models. CoRR (2022)
Ajay Jain, Matthew Tancik, Pieter Abbeel
Putting NeRF on a Diet: Semantically Consistent Few-Shot View Synthesis. ICCV (2021)
Paras Jain, Ajay Jain, Tianjun Zhang, Pieter Abbeel, Joseph Gonzalez, Ion Stoica
Contrastive Code Representation Learning. EMNLP (1) (2021)
Ajay Jain, Ben Mildenhall, Jonathan T. Barron, Pieter Abbeel, Ben Poole
Zero-Shot Text-Guided Object Generation with Dream Fields. CoRR (2021)
Ajay Jain, Matthew Tancik, Pieter Abbeel
Putting NeRF on a Diet: Semantically Consistent Few-Shot View Synthesis. CoRR (2021)
Scott Emmons, Ajay Jain, Michael Laskin, Thanard Kurutach, Pieter Abbeel, Deepak Pathak
Sparse Graphical Memory for Robust Planning. NeurIPS (2020)
Ajay Jain, Pieter Abbeel, Deepak Pathak
Locally Masked Convolution for Autoregressive Models. UAI (2020)
Ajay Jain, Pieter Abbeel, Deepak Pathak
Locally Masked Convolution for Autoregressive Models. CoRR (2020)
Paras Jain, Ajay Jain, Aniruddha Nrusimha, Amir Gholami, Pieter Abbeel, Kurt Keutzer, Ion Stoica, Joseph Gonzalez
Checkmate: Breaking the Memory Wall with Optimal Tensor Rematerialization. MLSys (2020)
Michael Laskin, Scott Emmons, Ajay Jain, Thanard Kurutach, Pieter Abbeel, Deepak Pathak
Sparse Graphical Memory for Robust Planning. CoRR (2020)
Jonathan Ho, Ajay Jain, Pieter Abbeel
Denoising Diffusion Probabilistic Models. CoRR (2020)
Jonathan Ho, Ajay Jain, Pieter Abbeel
Denoising Diffusion Probabilistic Models. NeurIPS (2020)
Paras Jain, Ajay Jain, Tianjun Zhang, Pieter Abbeel, Joseph E. Gonzalez, Ion Stoica
Contrastive Code Representation Learning. CoRR (2020)
Charith Mendis, Ajay Jain, Paras Jain, Saman P. Amarasinghe
Revec: Program Rejuvenation through Revectorization. CoRR (2019)
Charith Mendis, Ajay Jain, Paras Jain, Saman P. Amarasinghe
Revec: program rejuvenation through revectorization. CC (2019)
Ajay Jain, Sergio Casas, Renjie Liao, Yuwen Xiong, Song Feng, Sean Segal, Raquel Urtasun
Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction. CoRR (2019)
Paras Jain, Xiangxi Mo, Ajay Jain, Alexey Tumanov, Joseph E. Gonzalez, Ion Stoica
The OoO VLIW JIT Compiler for GPU Inference. CoRR (2019)
Paras Jain, Xiangxi Mo, Ajay Jain, Harikaran Subbaraj, Rehan Sohail Durrani, Alexey Tumanov, Joseph Gonzalez, Ion Stoica
Dynamic Space-Time Scheduling for GPU Inference. CoRR (2019)
Paras Jain, Ajay Jain, Aniruddha Nrusimha, Amir Gholami, Pieter Abbeel, Kurt Keutzer, Ion Stoica, Joseph E. Gonzalez
Checkmate: Breaking the Memory Wall with Optimal Tensor Rematerialization. CoRR (2019)
Ajay Jain, Sergio Casas, Renjie Liao, Yuwen Xiong, Song Feng, Sean Segal, Raquel Urtasun
Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction. CoRL (2019)
Ajay Jain, Sachin Soni
Multi-Directional navigation method for optimized consumption of user generated content through semantic mapping of features derived from the user generated content. ACM SIGSOFT Softw. Eng. Notes 43 (4) (2018)
Pragya Kandari, Ajay Jain
An Empirical Study to Evaluate the Best Anchoring Positions in Nested Menus for Optimized Access Time. ACM SIGSOFT Softw. Eng. Notes 40 (4) (2015)
Ajay Jain
A Technique for Selecting Online Advertisements using Mailbox Calendar Invites. ACM SIGSOFT Softw. Eng. Notes 40 (4) (2015)
Ajay Jain, Mohit Chandra
Heuristics-based algorithm to dynamically adapt icon sizes and layouts on touch devices. ACM SIGSOFT Softw. Eng. Notes 39 (5) (2014)
Mukul, Ajay Jain, Mohit Chandra, Prabhat Mahapatra
An extensible and nested gesture for drawing tools. ACM SIGSOFT Softw. Eng. Notes 39 (5) (2014)
Kusha Chopra, Ajay Jain
Acoustics in 3D Printing. ACM SIGSOFT Softw. Eng. Notes 39 (4) (2014)
Ajay Jain
Touch target optimization technique using virtual finger-tip library. ACM SIGSOFT Softw. Eng. Notes 38 (3) (2013)
Ajay Jain, Kusha Chopra
Malware signing detection system. ACM SIGSOFT Softw. Eng. Notes 38 (5) (2013)
Ajay Jain, Ravi Jain
Method for self-destruction of digital files triggered under predefined constraints. ACM SIGSOFT Softw. Eng. Notes 37 (6) (2012)
Ajay Jain
Optimizing feature-access time through dynamic updates to application menu layout. ACM SIGSOFT Softw. Eng. Notes 37 (5) (2012)
Ajay Jain, Chandan Singh
"Ad you like it": advertisement sourcing and selection technique across multiple heterogeneous applications. ACM SIGSOFT Softw. Eng. Notes 37 (4) (2012)
Ajay Jain
Approach for reducing menu access time by enabling bidirectional cursor movement within nested menu(s). ACM SIGSOFT Softw. Eng. Notes 36 (5) (2011)
Gísli Hjálmtýsson, Ajay Jain
An Agent-based Approach to Service Management - Towards Service Independent Network Architecture. Integrated Network Management (1997)