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chenlin meng s homepage chenlin meng publish under chenlin meng chenlin at stanford edu i am a cs phd at stanford university where i am advised by prof stefano ermon i am interested in the broad applications of generative ai google scholar twitter home publications selected projects selected coursework honors and awards personal education stanford university sep 2020 now computer science phd stanford university sep 2016 jun 2020 mathematics b s with distinction selected publications on distillation of guided diffusion models cvpr 2023 award candidate chenlin meng robin rombach ruiqi gao diederik p kingma stefano ermon jonathan ho and tim salimans diffusion models typlically requires tens to hundreds of model evalutions to generate one image using our approach we only need 2 4 evalutions drastically reducing the sampling cost our approach is also hightly effective for video generation and is used in imagen video paper code coming soon sdedit image synthesis and editing with stochastic differential equations iclr 2022 chenlin meng yutong he yang song jiaming song jiajun wu jun yan zhu and stefano ermon sdedit is an effective image editing and style transfer method it has been broadly used in state of the art generative ai frameworks including stable diffusion see here and glide it is more commonly known as image2image for stable diffusion paper project page colab code denoising diffusion implicit models iclr 2021 jiaming song chenlin meng and stefano ermon diffusion models typlically requires hundreds of denoising steps to generate one image which is expensive and often infeasible in real world settings this paper is one of the earliest works to reduce the denoising steps of diffusion models from 1000 to paper code improved autoregressive modeling with distribution smoothing iclr 2021 oral presentation top 1 8 chenlin meng jiaming song yang song shengjia zhao and stefano ermon while autoregressive models excel at image compression their sample quality is often lacking we propose a denoising based approach to drastically improve the performance of autoregressive models on image generation tasks paper project page code d2c diffusion denoising models for few shot conditional generation neurips 2021 abhishek sinha jiaming song chenlin meng and stefano ermon d2c uses a learned diffusion based prior over the latent representations to improve generation and contrastive self supervised learning to improve representation quality d2c can adapt to novel generation tasks conditioned on labels or manipulation constraints by learning from as few as 100 labeled examples paper project page code concrete score matching generalized score matching for discrete data neurips 2022 chenlin meng kristy choi jiaming song and stefano ermon representing probability distributions by the gradient of their density functions e g diffusion model has proven effective in modeling a wide range of continuous data modalities however this representation is not applicable in discrete domains where the gradient is undefined to this end we propose an analogous score function called the concrete score a generalization of the stein score for discrete settings paper code coming soon publications on distillation of guided diffusion models cvpr 2023 award candidate chenlin meng ruiqi gao diederik p kingma stefano ermon jonathan ho and tim salimans paper code coming soon concrete score matching generalized score matching for discrete data neurips 2022 chenlin meng kristy choi jiaming song and stefano ermon paper code coming soon satmae pre training transformers for temporal and multi spectral satellite imagery neurips 2022 yezhen cong samar khanna chenlin meng patrick liu erik rozi yutong he marshall burke david lobell stefano ermon paper project page code efficient spatially sparse inference for conditional gans and diffusion models neurips 2022 muyang li ji lin chenlin meng stefano ermon song han jun yan zhu paper project page code self similarity priors neural collages as differentiable fractal representations neurips 2022 michael poli winnie xu stefano massaroli chenlin meng kuno kim stefano ermon paper project page code generalizing bayesian optimization with decision theoretic entropies neurips 2022 willie neiswanger lantao yu shengjia zhao chenlin meng stefano ermon paper code coming soon butterflyflow building invertible layers with butterfly matrices icml 2022 chenlin meng linqi zhou kristy choi and stefano ermon paper code coming soon sdedit image synthesis and editing with stochastic differential equations iclr 2022 chenlin meng yutong he yang song jiaming song jiajun wu jun yan zhu and stefano ermon paper project page colab code density ratio estimation via infinitesimal classification aistats 2022 oral presentation top 2 6 kristy choi chenlin meng yang song and stefano ermon paper code is count large scale object counting from satellite images with covariate based importance sampling aaai 2022 oral presentation chenlin meng enci liu willie neiswanger jiaming song marshall burke david b lobell and stefano ermon paper project page code sustainbench benchmarks for monitoring the sustainable development goals with machine learning neurips 2021 datasets and benchmarks track christopher yeh chenlin meng sherrie wang anne driscoll erik rozi patrick liu jihyeon lee marshall burke david b lobell and stefano ermon paper project page code estimating high order gradients of the data distribution by denoising neurips 2021 chenlin meng yang song wenzhe li and stefano ermon paper code d2c diffusion denoising models for few shot conditional generation neurips 2021 abhishek sinha jiaming song chenlin meng and stefano ermon paper project page code spatial temporal super resolution of satellite imagery via conditional pixel synthesis neurips 2021 yutong he dingjie wang nicholas lai william zhang chenlin meng marshall burke david b lobell and stefano ermon paper project page geography aware self supervised learning iccv 2021 kumar ayush burak uzkent chenlin meng kumar tanmay marshall burke david lobell and stefano ermon paper code project page accelerating feedforward computation via parallel nonlinear equation solving icml 2021 yang song chenlin meng renjie liao and stefano ermon paper code improved autoregressive modeling with distribution smoothing iclr 2021 oral presentation top 1 8 chenlin meng jiaming song yang song shengjia zhao and stefano ermon paper project page code denoising diffusion implicit models iclr 2021 jiaming song chenlin meng and stefano ermon paper code autoregressive score matching neurips 2020 chenlin meng lantao yu yang song jiaming song and stefano ermon paper code gaussianization flows aistats 2020 chenlin meng yang song jiaming song and stefano ermon paper code mintnet building invertible neural networks with masked convolutions neurips 2019 yang song chenlin meng and stefano ermon paper code learning to interpret satellite images in global scale using wikipedia ijcai 2019 burak uzkent evan sheehan chenlin meng zhongyi tang marshall burke david lobell and stefano ermon paper code predicting economic development using geolocated wikipedia articles kdd 2019 evan sheehan chenlin meng matthew tan burak uzkent neal jean marshall burke david lobell and stefano ermon paper code equally contributed to the project selected computer graphics projects rendering cotton candy on the cup grand prize winning project for the 2018 rendering competition modeled and built the scene cotton candy on the cup in pbrt a computer graphics rendering system all the models in the scene are built from scratch composed the final scene and tuned the final image rendering and building the beauty and the beast scene modeled and rendered the 3d scene beauty and the beast in the given ray tracer built and textured all the 3d models e g violin rose cloth books water etc from scratch composed the final scene and tuned the final image hair simulation in blender modeled and simulated hair motion in blender professional services journal reviewer jmlr tmlr conference reviwer iclr neurips icml aistats uai cvpr iccv eccv acm siggraph selected coursework math courses differential topology galois theory combinatorics graph theory abstract algebra number theory complex analysis analysis on manifolds mathematical analysis discrete mathematics numerical analysis cs courses computer graphics machine learning deep learning analysis of algorithms computer system honors and awards stanford interdisciplinary graduate fellowship 2022 cadence women in technology scholarship 2022 stanford cs348b rendering competition 2018 grand prize personal i am a fan of arts and 3d animation i also love music especially movie soundtracks theme by orderedlist