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ajay jain ajay jain twitter google scholar github linkedin cv fun things i made older projects synthesizing visual worlds i m an ai researcher at uc berkeley where i work on generative models my work includes diffusion models text to 3d with nerfs and scalable ml systems previously i was at google brain nvidia research uber atg and facebook ai i graduated from mit with an s b in computer science and was a director of the nonprofit machine intelligence community at mit i did research at csail and the media lab my research is supported by the nsf graduate research fellowship email ajayj at berkeley dot edu news new july 2022 dream fields wins the best poster award at ai4cc new may 2022 adacat accepted to uai 2022 march 2022 dream fields accepted to cvpr 2022 aug 2021 contracode accepted to emnlp 2021 july 2021 dietnerf accepted to iccv 2021 featured publications indicates equal contribution vectorfusion text to svg by abstracting pixel based diffusion models ajay jain amber xie pieter abbeel arxiv 2022 generate vector graphics svgs pixel art and sketches from text using the pretrained stable diffusion model website gallery paper your browser does not support the video tag dreamfusion text to 3d using 2d diffusion ben poole ajay jain jonathan t barron ben mildenhall arxiv 2022 we optimize a nerf from scratch using a pretrained text to image diffusion model to do text to 3d generative modeling website gallery paper your browser does not support the video tag zero shot text guided object generation with dream fields ajay jain ben mildenhall jon barron pieter abbeel ben poole cvpr 2022 conference on computer vision and pattern recognition we combine neural rendering with multi modal image and text representations to synthesize diverse 3d objects solely from natural language descriptions website arxiv overview video code colab demo poster your browser does not support the video tag denoising diffusion probabilistic models jonathan ho ajay jain pieter abbeel neurips 2020 34th conference on neural information processing systems high quality likelihood based image generation connect diffusion models to denoising score matching and langevin dynamics compression reconstruction and interpolation website arxiv talk sample video code more publications journey to the baoab limit finding effective mcmc samplers for score based models ajay jain ben poole score based methods neurips 2022 sample diffusion models with a single noise level high diversity website colab code paper your browser does not support the video tag adaptive categorical discretization for autoregressive models colin li ajay jain pieter abbeel uai 2022 conference on uncertainty in artificial intelligence adacat learns expressive autoregressive models by capturing fine grained variation in continuous distributions with discrete density estimators paper website code poster contrastive code representation learning paras jain ajay jain tianjun zhang pieter abbeel joseph e gonzalez ion stoica emnlp 2021 empirical methods in natural language processing learn to represent software functionality for automated software engineering tasks like type inference clone detection and summarization improving robustness of ml4code website acl arxiv poster slides talk code putting nerf on a diet semantically consistent few shot view synthesis ajay jain matthew tancik pieter abbeel iccv 2021 international conference on computer vision clip nerf given only a few images of an object or scene we reconstruct its 3d structure render novel views using prior knowledge contained in large image encoders website arxiv code overview video sparse graphical memory for robust planning scott emmons ajay jain michael laskin thanard kurutach pieter abbeel deepak pathak neurips 2020 34th conference on neural information processing systems provably robust efficient long horizon monocular navigation combining sparse graph planning and rl propose two way consistency to find landmark memories and create a topological map website arxiv neurips talk video poster code locally masked convolution for autoregressive models ajay jain pieter abbeel deepak pathak uai 2020 36th conference on uncertainty in artificial intelligence outpainting with pixelcnns our efficent op allows pixelcnns to generate images in arbitrary orders website arxiv pmlr talk code checkmate breaking the memory wall with optimal tensor rematerialization paras jain ajay jain aniruddha nrusimha amir gholami pieter abbeel kurt keutzer ion stoica joseph e gonzalez mlsys 2020 3rd conference on machine learning and systems use up to 5x less memory when training dnns by recomputing activations website arxiv slides pptx code discrete residual flow for probabilistic pedestrian behavior prediction ajay jain sergio casas romero renjie liao yuwen xiong song feng sean segal raquel urtasun corl 2019 3rd conference on robot learning spotlight talk multimodal long range behavior forecasts by predicting state marginals arxiv poster talk slides revec program rejuvenation through revectorization charith mendis ajay jain paras jain saman amarasinghe cc 2019 28th international conference on compiler construction achieve performance portability for hand vectorized programs with up to 1 88x speedup website paper arxiv talk slides code autonomy for surface ship interception c mirabito d n subramani t lolla j p j haley a jain p f j lermusiaux c li d yue y liu f hover n pulsone j edwards k railey and g shaw oceans 2017 60th oceans conference mts ieee aberdeen time optimal path planning for underwater robots paper open access short papers learning automatic schedulers with projective reparameterization ajay jain saman amarasinghe isca 2019 46th international symposium on computer architecture workshop on machine learning for systems jun 2019 talk supervised learning of schedulers with correctness constraints paper slides pptx using effective dimension to analyze feature transformations in deep neural networks kavya ravichandran ajay jain alexander rakhlin icml 2019 36th international conference on machine learning workshop on identifying and understanding deep learning phenomena jun 2019 paper the case for gpu multitenancy paras jain xiangxi mo ajay jain alexey tumanov joseph e gonzalez ion stoica arxiv 2019 arxiv 1910 02653 jan 2019 arxiv dynamic space time scheduling for gpu inference paras jain xiangxi mo ajay jain harikaran subbaraj rehan sohail durrani alexey tumanov joseph e gonzalez and ion stoica neurips 2018 32nd annual conference on neural information processing systems workshop on systems for machine learning dec 2018 demonstrate 2 5x 4 9x speedups for deep learning inference workloads via gpu multitenancy arxiv poster follow up paper invited talks oct 2022 dreamfusion text to 3d using 2d diffusion berkeley computer vision feb 2022 3d content creation with data efficient consistent neural fields csm ai jan 2022 data efficient creative content creation mit oct 2021 from prompts to pixels generative methods for ai art hitachi sep 2021 diffusion probabilistic models bair computer vision reading group jun 2021 putting nerf on a diet ml collective cv paper reading session 2021 putting nerf on a diet mit mic reading group jun 2019 oral presentation isca 2019 ml for systems service and teaching seminar coordinator cs 294 43 vision and language ai seminar fall 2022 graduate student instructor cs 184 284a computer graphics and imaging spring 2022 uc berkeley eecs phd admissions committee 2022 program committee icml 2022 siggraph 2022 neurips 2021 icml 2021 discussant uai 2020 director non profit machine intelligence community machine learning software text guided object generation jax transformers and lstms to represent and summarize code pytorch data efficient nerf for 3d reconstruction and view synthesis pytorch vector ascent text guided vector graphics generation pytorch denoising diffusion probabilistic models tensorflow long horizon navigation with sparse graphical memory pytorch autoregressive image generation and outpainting pytorch checkmate memory efficient training of deep neural networks tensorflow more software llvm revectorization benchmark compiler pass intrinsic equivalences cauldron chrome extension for offline browsing ajayj at berkeley dot edu