Publications

Our publications provide insight into some of our leading-edge research.

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2025

Augmenting Simulated Noisy Quantum Data Collection by Orders of Magnitude Using Pre-Trajectory Sampling with Batched Execution
Taylor Patti, Thien Nguyen, Justin Lietz, Alex McCaskey, Brucek Khailany
FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale
Boris Bonev, Thorsten Kurth, Ankur Mahesh, Mauro Bisson, Jean Kossaifi, Karthik Kashinath, Anima Anandkumar, William D. Collins, Mike Pritchard, Alex Keller
Helix Parallelism: Rethinking Sharding Strategies for Interactive Multi-Million-Token LLM Decoding
Nidhi Bhatia, Ankit More, Ritika Borkar, Tiyasa Mitra, Ramon Matas, Ritchie Zhao, Maximilian Golub, Dheevatsa Mudigere, Brian Pharris, Bita Darvish Rouhani
Adaptive Algebraic Reuse of Reordering in Cholesky Factorizations with Dynamic Sparsity Patterns
Behrooz Zarebavani, Danny Kaufman, David Levin, Maryam Mehri Dehnavi
scene_synthesizer: A Python Library for Procedural Scene Generation in Robot Manipulation
Clemens Eppner, Adithya Murali, Caelan Garrett, Rowland O'Flaherty, Tucker Hermans, Wei Yang, Dieter Fox
Towards large-scale quantum optimization solvers with few qubits
Marco Sciorilli, Lucas Borges, Taylor Patti, Diego Garcia-Martin, Giancarlo Camilo, Anima Anandkumar, Leandro Aolita

2024

Differentiable GPU-Parallelized Task and Motion Planning
William Shen, Caelan Garrett, Ankit Goyal, Tucker Hermans, Fabio Ramos
Constructability-driven design of frame structures with state-space search methods
Yijiang Huang, Caelan Garrett, Caitlin Mueller
Conformer without Convolutions
Matthijs Van keirsbilck, Alex Keller
Zero and Finite Temperature Quantum Simulations Powered by Quantum Magic
Andi Gu, Hong-Ye Hu, Di Luo, Taylor Patti, Nicholas C. Rubin, Susanne F. Yelin
Improving Hyperparameter Optimization with Checkpointed Model Weights
Nikhil Mehta, Jonathan Lorraine, Steve Masson, Ramanathan Arunachalam, Zaid Pervaiz Bhat, James Lucas, Arun George Zachariah
Near-term distributed quantum computation using mean-field corrections and auxiliary qubits
Abigail McClain-Gomez, Taylor Patti, Anima Anandkumar, Susanne F. Yelin

2023

Graph Metanetworks for Processing Diverse Neural Architectures
Derek Lim, Haggai Maron, Marc T. Law, Jonathan Lorraine, James Lucas
Graph Neural Networks for Enhanced Decoding of Quantum LDPC Codes
Anqi Gong, Sebastian Cammerer, Joseph M. Renes

2022

Deep Learning-Based Synchronization for Uplink NB-IoT
Fayçal Aït Aoudia , Jakob Hoydis, Sebastian Cammerer, Matthijs Van keirsbilck, Alex Keller
Graph Neural Networks for Channel Decoding
Sebastian Cammerer, Jakob Hoydis, Fayçal Aït Aoudia , Alex Keller
Structural Pruning via Latency-Saliency Knapsack
Maying Shen, Hongxu Danny Yin, Pavlo Molchanov, Lei Mao, Jianna Liu, Jose M. Alvarez
From RTL to CUDA: A GPU Acceleration Flow for RTL Simulation with Batch Stimulus
Dian-Lun Lin, Haoxing (Mark) Ren, Yanqing Zhang, Brucek Khailany, Tsung-Wei Huang
As-Locally-Uniform-as-Possible Reshaping of Vector Clip Art
Chrystiano Araujo, Nicholas Vining, Enrique Rosales, Giorgio Gori, Alla Sheffer
Variable Bitrate Neural Fields
Towaki Takikawa, Alex Evans, Jonathan Tremblay, Thomas Müller, Morgan McGuire, Alec Jacobson, Sanja Fidler
Unbiased Inverse Volume Rendering With Differential Trackers
Merlin Nimier-David, Thomas Müller, Alex Keller, Wenzel Jakob
Generalized Resampled Importance Sampling: Foundations of ReSTIR
Daqi Lin, Markus Kettunen, Benedikt Bitterli, Jacopo Pantaleoni, Cem Yuksel, Chris Wyman
Unbiased and consistent rendering using biased estimators
Zackary Misso, Benedikt Bitterli, Iliyan Georgiev, Wojciech Jarosz
Optimal Clipping and Magnitude-aware Differentiation for Improved Quantization-aware Training
Charbel Sakr, Steve Dai, Rangharajan Venkatesan, Brian Zimmer, Brucek Khailany, William Dally
Ray/Ribbon Intersections
Alexander Reshetov
Adaptive Neural Network-based OFDM Receivers
Moritz Benedikt Fischer, Sebastian Dörner, Sebastian Cammerer, Takayuki Shimizu, Hongsheng Lu, Stephan ten Brink
Onesweep: A Faster Least Significant Digit Radix Sort for GPUs
Andrey Adinets, Duane Merrill
MatBuilder: Mastering Sampling Uniformity Over Projections
Loïs Paulin, Nicolas Bonneel, David Coeurjolly, Jean-Claude Iehl, Alex Keller, Victor Ostromoukhov
Artificial Neural Networks generated by Low Discrepancy Sequences
Matthijs Van keirsbilck, Alex Keller
Sionna: An Open-Source Library for Next-Generation Physical Layer Research
Jakob Hoydis, Sebastian Cammerer, Fayçal Aït Aoudia , Avinash Vem, Nikolaus Binder, Guillermo Marcus, Alex Keller
Generic Lithography Modeling with Dual-band Optics-Inspired Neural Networks
Haoyu Yang, Zongyi Li, Kumara Sastry, Saumyadip Mukhopadhyay, Mark Kilgard, Anima Anandkumar, Brucek Khailany, Vivek Singh, Haoxing (Mark) Ren

2021

Path Guiding Using Spatio-Directional Mixture Models
Ana Dodik, Marios Papas, Cengiz Öztireli, Thomas Müller