Jonathan Ragan-Kelley

96 papers A* 14B 7Journal 65Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Sycophantic Chatbots Cause Delusional Spiraling, Even in Ideal Bayesians.
CoRR
Kartik Chandra, Max Kleiman-Weiner, Jonathan Ragan-Kelley, Joshua B. Tenenbaum
2025 B conf
A Computational Model of Human Vocal Imitation.
CogSci
Matthew Caren, Kartik Chandra, Joshua B. Tenenbaum, Jonathan Ragan-Kelley, Karima Ma
2025 J jnl
A Domain-Specific Probabilistic Programming Language for Reasoning about Reasoning (Or: A Memo on memo).
Proc. ACM Program. Lang.
Kartik Chandra, Tony Chen, Joshua B. Tenenbaum, Jonathan Ragan-Kelley
2025 J jnl
Compiling Set Queries into Work-Efficient Tree Traversals.
CoRR
Alexander J. Root, Christophe Gyurgyik, Purvi Goel, Kayvon Fatahalian, Jonathan Ragan-Kelley, Andrew Adams, Fredrik Kjolstad
2025 B conf
Empathy in Explanation.
CogSci
Katherine M. Collins, Kartik Chandra, Jonathan Ragan-Kelley, Adrian Weller, Joshua B. Tenenbaum
2025 J jnl
Empathy in Explanation.
CoRR
Katherine M. Collins, Kartik Chandra, Adrian Weller, Jonathan Ragan-Kelley, Joshua B. Tenenbaum
2025 — conf
Exo 2: Growing a Scheduling Language.
ASPLOS (1)
Yuka Ikarashi, Kevin Qian, Samir Droubi, Alex Reinking, Gilbert Louis Bernstein, Jonathan Ragan-Kelley
2025 J jnl
FlashFormer: Whole-Model Kernels for Efficient Low-Batch Inference.
CoRR
Aniruddha Nrusimha, William Brandon, Mayank Mishra, Yikang Shen, Rameswar Panda, Jonathan Ragan-Kelley, Yoon Kim
2025 A* conf
Ladder-Residual: Parallelism-Aware Architecture for Accelerating Large Model Inference with Communication Overlapping.
ICML
Muru Zhang, Mayank Mishra, Zhongzhu Zhou, William Brandon, Jue Wang, Yoon Kim, Jonathan Ragan-Kelley, Shuaiwen Leon Song, Ben Athiwaratkun, Tri Dao
2025 J jnl
Ladder-residual: parallelism-aware architecture for accelerating large model inference with communication overlapping.
CoRR
Muru Zhang, Mayank Mishra, Zhongzhu Zhou, William Brandon, Jue Wang, Yoon Kim, Jonathan Ragan-Kelley, Shuaiwen Leon Song, Ben Athiwaratkun, Tri Dao
2025 A* conf
Learning to Keep a Promise: Scaling Language Model Decoding Parallelism with Learned Asynchronous Decoding.
ICML
Tian Jin, Ellie Y. Cheng, Zachary Ankner, Nikunj Saunshi, Blake M. Elias, Amir Yazdanbakhsh, Jonathan Ragan-Kelley, Suvinay Subramanian, Michael Carbin
2025 J jnl
Learning to Keep a Promise: Scaling Language Model Decoding Parallelism with Learned Asynchronous Decoding.
CoRR
Tian Jin, Ellie Y. Cheng, Zachary Ankner, Nikunj Saunshi, Blake M. Elias, Amir Yazdanbakhsh, Jonathan Ragan-Kelley, Suvinay Subramanian, Michael Carbin
2025 J jnl
Lightweight and Locality-Aware Composition of Black-Box Subroutines.
Proc. ACM Program. Lang.
Manya Bansal, Dillon Sharlet, Jonathan Ragan-Kelley, Saman P. Amarasinghe
2025 J jnl
Locality-Aware Automatic Differentiation on the GPU for Mesh-Based Computations.
CoRR
Ahmed H. Mahmoud, Jonathan Ragan-Kelley, Justin Solomon
2025 J jnl
Meschers: Geometry Processing of Impossible Objects.
ACM Trans. Graph.
Ana Dodik, Isabella Yu, Kartik Chandra, Jonathan Ragan-Kelley, Joshua B. Tenenbaum, Vincent Sitzmann, Justin Solomon
2025 J jnl
Modular GPU Programming with Typed Perspectives.
CoRR
Manya Bansal, Daniel Sainati, Joseph W. Cutler, Saman P. Amarasinghe, Jonathan Ragan-Kelley
2025 B conf
Theories of Mind as Languages of Thought for Thought about Thought.
CogSci
Kartik Chandra, Jonathan Ragan-Kelley, Joshua B. Tenenbaum
2024 J jnl
A Verified Compiler for a Functional Tensor Language.
Proc. ACM Program. Lang.
Amanda Liu, Gilbert Bernstein, Adam Chlipala, Jonathan Ragan-Kelley
2024 B conf
Cooperative Explanation as Rational Communication.
CogSci
Kartik Chandra, Tony Chen, Tzu-Mao Li, Jonathan Ragan-Kelley, Josh Tenenbaum
2024 J jnl
Distributions for Compositionally Differentiating Parametric Discontinuities.
Proc. ACM Program. Lang.
Jesse Michel, Kevin Mu, Xuanda Yang, Sai Praveen Bangaru, Elias Rojas Collins, Gilbert Bernstein, Jonathan Ragan-Kelley, Michael Carbin, Tzu-Mao Li
2024 J jnl
Exo 2: Growing a Scheduling Language.
CoRR
Yuka Ikarashi, Kevin Qian, Samir Droubi, Alex Reinking, Gilbert Bernstein, Jonathan Ragan-Kelley
2024 — conf
Fast Matrix Multiplications for Lookup Table-Quantized LLMs.
EMNLP (Findings)
Han Guo, William Brandon, Radostin Cholakov, Jonathan Ragan-Kelley, Eric P. Xing, Yoon Kim
2024 J jnl
Fast Matrix Multiplications for Lookup Table-Quantized LLMs.
CoRR
Han Guo, William Brandon, Radostin Cholakov, Jonathan Ragan-Kelley, Eric P. Xing, Yoon Kim
2024 J jnl
Hydra: Sequentially-Dependent Draft Heads for Medusa Decoding.
CoRR
Zachary Ankner, Rishab Parthasarathy, Aniruddha Nrusimha, Christopher Rinard, Jonathan Ragan-Kelley, William Brandon
2024 A* conf
Reducing Transformer Key-Value Cache Size with Cross-Layer Attention.
NeurIPS
William Brandon, Mayank Mishra, Aniruddha Nrusimha, Rameswar Panda, Jonathan Ragan-Kelley
2024 J jnl
Reducing Transformer Key-Value Cache Size with Cross-Layer Attention.
CoRR
William Brandon, Mayank Mishra, Aniruddha Nrusimha, Rameswar Panda, Jonathan Ragan-Kelley
2024 A* conf
Sketching With Your Voice: "Non-Phonorealistic" Rendering of Sounds via Vocal Imitation.
SIGGRAPH Asia
Matthew Caren, Kartik Chandra, Joshua B. Tenenbaum, Jonathan Ragan-Kelley, Karima Ma
2024 J jnl
Sketching With Your Voice: "Non-Phonorealistic" Rendering of Sounds via Vocal Imitation.
CoRR
Matthew Caren, Kartik Chandra, Joshua B. Tenenbaum, Jonathan Ragan-Kelley, Karima Ma
2024 A* conf
The Cost of Scaling Down Large Language Models: Reducing Model Size Affects Memory before In-context Learning.
ICLR
Tian Jin, Nolan Clement, Xin Dong, Vaishnavh Nagarajan, Michael Carbin, Jonathan Ragan-Kelley, Gintare Karolina Dziugaite
2024 J jnl
WatChat: Explaining perplexing programs by debugging mental models.
CoRR
Kartik Chandra, Tzu-Mao Li, Rachit Nigam, Joshua B. Tenenbaum, Jonathan Ragan-Kelley
2023 — conf
Acting as Inverse Inverse Planning.
SIGGRAPH (Conference Paper Track)
Kartik Chandra, Tzu-Mao Li, Joshua B. Tenenbaum, Jonathan Ragan-Kelley
2023 J jnl
Acting as Inverse Inverse Planning.
CoRR
Kartik Chandra, Tzu-Mao Li, Josh Tenenbaum, Jonathan Ragan-Kelley
2023 — conf
Fast Instruction Selection for Fast Digital Signal Processing.
ASPLOS (4)
Alexander J. Root, Maaz Bin Safeer Ahmad, Dillon Sharlet, Andrew Adams, Shoaib Kamil, Jonathan Ragan-Kelley
2023 J jnl
How to guess a gradient.
CoRR
Utkarsh Singhal, Brian Cheung, Kartik Chandra, Jonathan Ragan-Kelley, Joshua B. Tenenbaum, Tomaso A. Poggio, Stella X. Yu
2023 A* conf
Inferring the Future by Imagining the Past.
NeurIPS
Kartik Chandra, Tony Chen, Tzu-Mao Li, Jonathan Ragan-Kelley, Josh Tenenbaum
2023 J jnl
Inferring the Future by Imagining the Past.
CoRR
Kartik Chandra, Tony Chen, Tzu-Mao Li, Jonathan Ragan-Kelley, Joshua B. Tenenbaum
2023 J jnl
SLANG.D: Fast, Modular and Differentiable Shader Programming.
ACM Trans. Graph.
Sai Praveen Bangaru, Lifan Wu, Tzu-Mao Li, Jacob Munkberg, Gilbert Bernstein, Jonathan Ragan-Kelley, Frédo Durand, Aaron E. Lefohn, Yong He
2023 J jnl
Semantics and Scheduling for Machine Knitting Compilers.
ACM Trans. Graph.
Jenny Lin, Vidya Narayanan, Yuka Ikarashi, Jonathan Ragan-Kelley, Gilbert Bernstein, James McCann
2023 J jnl
Storytelling as
Top. Cogn. Sci.
Kartik Chandra, Tzu-Mao Li, Joshua B. Tenenbaum, Jonathan Ragan-Kelley
2023 B conf
Storytelling as Inverse Inverse Planning.
CogSci
Kartik Chandra, Tzu-Mao Li, Josh Tenenbaum, Jonathan Ragan-Kelley
2023 J jnl
Striped Attention: Faster Ring Attention for Causal Transformers.
CoRR
William Brandon, Aniruddha Nrusimha, Kevin Qian, Zachary Ankner, Tian Jin, Zhiye Song, Jonathan Ragan-Kelley
2023 J jnl
Technical Perspective: Reconsidering the Design of User-Schedulable Languages.
Commun. ACM
Jonathan Ragan-Kelley
2023 J jnl
The Cost of Down-Scaling Language Models: Fact Recall Deteriorates before In-Context Learning.
CoRR
Tian Jin, Nolan Clement, Xin Dong, Vaishnavh Nagarajan, Michael Carbin, Jonathan Ragan-Kelley, Gintare Karolina Dziugaite
2022 — conf
Designing Perceptual Puzzles by Differentiating Probabilistic Programs.
SIGGRAPH (Conference Paper Track)
Kartik Chandra, Tzu-Mao Li, Joshua B. Tenenbaum, Jonathan Ragan-Kelley
2022 J jnl
Designing Perceptual Puzzles by Differentiating Probabilistic Programs.
CoRR
Kartik Chandra, Tzu-Mao Li, Joshua B. Tenenbaum, Jonathan Ragan-Kelley
2022 A* conf
Exocompilation for productive programming of hardware accelerators.
PLDI
Yuka Ikarashi, Gilbert Louis Bernstein, Alex Reinking, Hasan Genc, Jonathan Ragan-Kelley
2022 J jnl
Formal Semantics for the Halide Language.
CoRR
Alex Reinking, Gilbert Louis Bernstein, Jonathan Ragan-Kelley
2022 A* conf
Gradient Descent: The Ultimate Optimizer.
NeurIPS
Kartik Chandra, Audrey Xie, Jonathan Ragan-Kelley, Erik Meijer
2022 J jnl
Searching for Fast Demosaicking Algorithms.
ACM Trans. Graph.
Karima Ma, Michaël Gharbi, Andrew Adams, Shoaib Kamil, Tzu-Mao Li, Connelly Barnes, Jonathan Ragan-Kelley
2022 J jnl
Verified tensor-program optimization via high-level scheduling rewrites.
Proc. ACM Program. Lang.
Amanda Liu, Gilbert Louis Bernstein, Adam Chlipala, Jonathan Ragan-Kelley
2021 J jnl
Efficient automatic scheduling of imaging and vision pipelines for the GPU.
Proc. ACM Program. Lang.
Luke Anderson, Andrew Adams, Karima Ma, Tzu-Mao Li, Tian Jin, Jonathan Ragan-Kelley
2021 A* conf
Gemmini: Enabling Systematic Deep-Learning Architecture Evaluation via Full-Stack Integration.
DAC
Hasan Genc, Seah Kim, Alon Amid, Ameer Haj-Ali, Vighnesh Iyer, Pranav Prakash, Jerry Zhao, Daniel Grubb, Harrison Liew, Howard Mao, Albert J. Ou, Colin Schmidt, Samuel Steffl, John Charles Wright, Ion Stoica, Jonathan Ragan-Kelley, Krste Asanovic, Borivoje Nikolic, Yakun Sophia Shao
2021 J jnl
Getting to the Point. Index Sets and Parallelism-Preserving Autodiff for Pointful Array Programming.
CoRR
Adam Paszke, Daniel D. Johnson, David Duvenaud, Dimitrios Vytiniotis, Alexey Radul, Matthew J. Johnson, Jonathan Ragan-Kelley, Dougal Maclaurin
2021 J jnl
Getting to the point: index sets and parallelism-preserving autodiff for pointful array programming.
Proc. ACM Program. Lang.
Adam Paszke, Daniel D. Johnson, David Duvenaud, Dimitrios Vytiniotis, Alexey Radul, Matthew J. Johnson, Jonathan Ragan-Kelley, Dougal Maclaurin
2021 B conf
Guided Optimization for Image Processing Pipelines.
VL/HCC
Yuka Ikarashi, Jonathan Ragan-Kelley, Tsukasa Fukusato, Jun Kato, Takeo Igarashi
2021 J jnl
Guided Optimization for Image Processing Pipelines.
CoRR
Yuka Ikarashi, Jonathan Ragan-Kelley, Tsukasa Fukusato, Jun Kato, Takeo Igarashi
2021 J jnl
Systematically differentiating parametric discontinuities.
ACM Trans. Graph.
Sai Praveen Bangaru, Jesse Michel, Kevin Mu, Gilbert Bernstein, Tzu-Mao Li, Jonathan Ragan-Kelley
2020 A* conf
DiffTaichi: Differentiable Programming for Physical Simulation.
ICLR
Yuanming Hu, Luke Anderson, Tzu-Mao Li, Qi Sun, Nathan Carr, Jonathan Ragan-Kelley, Frédo Durand
2020 J jnl
Differentiable vector graphics rasterization for editing and learning.
ACM Trans. Graph.
Tzu-Mao Li, Michal Lukác, Michaël Gharbi, Jonathan Ragan-Kelley
2020 J jnl
Differentiating a Tensor Language.
CoRR
Gilbert Bernstein, Michael Mara, Tzu-Mao Li, Dougal Maclaurin, Jonathan Ragan-Kelley
2020 J jnl
Learning to Schedule Halide Pipelines for the GPU.
CoRR
Luke Anderson, Andrew Adams, Karima Ma, Tzu-Mao Li, Jonathan Ragan-Kelley
2020 A* conf
Neural Kernels Without Tangents.
ICML
Vaishaal Shankar, Alex Fang, Wenshuo Guo, Sara Fridovich-Keil, Jonathan Ragan-Kelley, Ludwig Schmidt, Benjamin Recht
2020 J jnl
Neural Kernels Without Tangents.
CoRR
Vaishaal Shankar, Alex Fang, Wenshuo Guo, Sara Fridovich-Keil, Ludwig Schmidt, Jonathan Ragan-Kelley, Benjamin Recht
2020 — conf
Serverless linear algebra.
SoCC
Vaishaal Shankar, Karl Krauth, Kailas Vodrahalli, Qifan Pu, Benjamin Recht, Ion Stoica, Jonathan Ragan-Kelley, Eric Jonas, Shivaram Venkataraman
2019 J jnl
Automatically translating image processing libraries to halide.
ACM Trans. Graph.
Maaz Bin Safeer Ahmad, Jonathan Ragan-Kelley, Alvin Cheung, Shoaib Kamil
2019 J jnl
DiffTaichi: Differentiable Programming for Physical Simulation.
CoRR
Yuanming Hu, Luke Anderson, Tzu-Mao Li, Qi Sun, Nathan Carr, Jonathan Ragan-Kelley, Frédo Durand
2019 J jnl
Learning to optimize halide with tree search and random programs.
ACM Trans. Graph.
Andrew Adams, Karima Ma, Luke Anderson, Riyadh Baghdadi, Tzu-Mao Li, Michaël Gharbi, Benoit Steiner, Steven Johnson, Kayvon Fatahalian, Frédo Durand, Jonathan Ragan-Kelley
2019 J jnl
OpenFab: a programmable pipeline for multimaterial fabrication.
Commun. ACM
Kiril Vidimce, Szu-Po Wang, Jonathan Ragan-Kelley, Wojciech Matusik
2019 J jnl
Taichi: a language for high-performance computation on spatially sparse data structures.
ACM Trans. Graph.
Yuanming Hu, Tzu-Mao Li, Luke Anderson, Jonathan Ragan-Kelley, Frédo Durand
2018 J jnl
Differentiable programming for image processing and deep learning in halide.
ACM Trans. Graph.
Tzu-Mao Li, Michaël Gharbi, Andrew Adams, Frédo Durand, Jonathan Ragan-Kelley
2018 J jnl
Halide: decoupling algorithms from schedules for high-performance image processing.
Commun. ACM
Jonathan Ragan-Kelley, Andrew Adams, Dillon Sharlet, Connelly Barnes, Sylvain Paris, Marc Levoy, Saman P. Amarasinghe, Frédo Durand
2018 J jnl
numpywren: serverless linear algebra.
CoRR
Vaishaal Shankar, Karl Krauth, Qifan Pu, Eric Jonas, Shivaram Venkataraman, Ion Stoica, Benjamin Recht, Jonathan Ragan-Kelley
2017 J jnl
Opt: A Domain Specific Language for Non-Linear Least Squares Optimization in Graphics and Imaging.
ACM Trans. Graph.
Zachary DeVito, Michael Mara, Michael Zollhöfer, Gilbert Bernstein, Jonathan Ragan-Kelley, Christian Theobalt, Pat Hanrahan, Matthew Fisher, Matthias Nießner
2017 J jnl
Programming Heterogeneous Systems from an Image Processing DSL.
ACM Trans. Archit. Code Optim.
Jing Pu, Steven Bell, Xuan Yang, Jeff Setter, Stephen Richardson, Jonathan Ragan-Kelley, Mark Horowitz
2016 J jnl
A Systematic Approach to Blocking Convolutional Neural Networks.
CoRR
Xuan Yang, Jing Pu, Blaine Burton Rister, Nikhil Bhagdikar, Stephen Richardson, Shahar Kvatinsky, Jonathan Ragan-Kelley, Ardavan Pedram, Mark Horowitz
2016 J jnl
Automatically scheduling halide image processing pipelines.
ACM Trans. Graph.
Ravi Teja Mullapudi, Andrew Adams, Dillon Sharlet, Jonathan Ragan-Kelley, Kayvon Fatahalian
2016 J jnl
Opt: A Domain Specific Language for Non-linear Least Squares Optimization in Graphics and Imaging.
CoRR
Zachary DeVito, Michael Mara, Michael Zollhöfer, Gilbert Louis Bernstein, Jonathan Ragan-Kelley, Christian Theobalt, Pat Hanrahan, Matthew Fisher, Matthias Nießner
2016 J jnl
Programming Heterogeneous Systems from an Image Processing DSL.
CoRR
Jing Pu, Steven Bell, Xuan Yang, Jeff Setter, Stephen Richardson, Jonathan Ragan-Kelley, Mark Horowitz
2016 J jnl
ProxImaL: efficient image optimization using proximal algorithms.
ACM Trans. Graph.
Felix Heide, Steven Diamond, Matthias Nießner, Jonathan Ragan-Kelley, Wolfgang Heidrich, Gordon Wetzstein
2016 J jnl
Rigel: flexible multi-rate image processing hardware.
ACM Trans. Graph.
James Hegarty, Ross G. Daly, Zachary DeVito, Mark Horowitz, Pat Hanrahan, Jonathan Ragan-Kelley
2016 J jnl
Simit: A Language for Physical Simulation.
ACM Trans. Graph.
Fredrik Kjolstad, Shoaib Kamil, Jonathan Ragan-Kelley, David I. W. Levin, Shinjiro Sueda, Desai Chen, Etienne Vouga, Danny M. Kaufman, Gurtej Kanwar, Wojciech Matusik, Saman P. Amarasinghe
2015 — conf
An introduction to halide.
SIGGRAPH Courses
Jonathan Ragan-Kelley, Andrew Adams, Dillon Sharlet
2015 — conf
Compiling high performance recursive filters.
High Performance Graphics
Gaurav Chaurasia, Jonathan Ragan-Kelley, Sylvain Paris, George Drettakis, Frédo Durand
2015 A* conf
Helium: lifting high-performance stencil kernels from stripped x86 binaries to halide DSL code.
PLDI
Charith Mendis, Jeffrey Bosboom, Kevin Wu, Shoaib Kamil, Jonathan Ragan-Kelley, Sylvain Paris, Qin Zhao, Saman P. Amarasinghe
2015 J jnl
Transform recipes for efficient cloud photo enhancement.
ACM Trans. Graph.
Michaël Gharbi, Yichang Shih, Gaurav Chaurasia, Jonathan Ragan-Kelley, Sylvain Paris, Frédo Durand
2014 J jnl
Darkroom: compiling high-level image processing code into hardware pipelines.
ACM Trans. Graph.
James Hegarty, John S. Brunhaver, Zachary DeVito, Jonathan Ragan-Kelley, Noy Cohen, Steven Bell, Artem Vasilyev, Mark Horowitz, Pat Hanrahan
2014 — —
Decoupling algorithms from the organization of computation for high performance image processing.
Jonathan Ragan-Kelley
2014 — ed.
High-Performance Graphics 2014, Lyon, France, 2014. Proceedings
High Performance Graphics
Ingo Wald, Jonathan Ragan-Kelley
2014 B conf
OpenTuner: an extensible framework for program autotuning.
PACT
Jason Ansel, Shoaib Kamil, Kalyan Veeramachaneni, Jonathan Ragan-Kelley, Jeffrey Bosboom, Una-May O'Reilly, Saman P. Amarasinghe
2013 A* conf
Halide: a language and compiler for optimizing parallelism, locality, and recomputation in image processing pipelines.
PLDI
Jonathan Ragan-Kelley, Connelly Barnes, Andrew Adams, Sylvain Paris, Frédo Durand, Saman P. Amarasinghe
2013 J jnl
OpenFab: a programmable pipeline for multi-material fabrication.
ACM Trans. Graph.
Kiril Vidimce, Szu-Po Wang, Jonathan Ragan-Kelley, Wojciech Matusik
2013 A* conf
Portable performance on heterogeneous architectures.
ASPLOS
Phitchaya Mangpo Phothilimthana, Jason Ansel, Jonathan Ragan-Kelley, Saman P. Amarasinghe
2012 J jnl
Decoupling algorithms from schedules for easy optimization of image processing pipelines.
ACM Trans. Graph.
Jonathan Ragan-Kelley, Andrew Adams, Sylvain Paris, Marc Levoy, Saman P. Amarasinghe, Frédo Durand
2011 J jnl
Decoupled sampling for graphics pipelines.
ACM Trans. Graph.
Jonathan Ragan-Kelley, Jaakko Lehtinen, Jiawen Chen, Michael C. Doggett, Frédo Durand
2010 J jnl
A hierarchical volumetric shadow algorithm for single scattering.
ACM Trans. Graph.
Ilya Baran, Jiawen Chen, Jonathan Ragan-Kelley, Frédo Durand, Jaakko Lehtinen
2007 J jnl
The lightspeed automatic interactive lighting preview system.
ACM Trans. Graph.
Jonathan Ragan-Kelley, Charlie Kilpatrick, Brian W. Smith, Doug Epps, Paul Green, Christophe Hery, Frédo Durand