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Algorithms and Numerical Methods

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2025

Attention on the Sphere

Boris Bonev, Max Rietmann, Andrea Paris, Alberto Carpentieri, Thorsten Kurth

NeurIPS

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

Isaac Lab: A GPU Accelerated Simulation Framework For Multi-Modal Robot Learning

Mayank Mittal, Kelly Guo, Gavriel State, Spencer Huang

Huge ensembles–Part 1: Design of ensemble weather forecasts using spherical Fourier neural operators

Ankur Mahesh, William D. Collins, Boris Bonev, Noah Brenowitz, Yair Cohen, Joshua Elms, Peter Harrington, Karthik Kashinath, Thorsten Kurth, Joshua North, Travis O'Brian, Mike Pritchard, David Pruitt, Mark Risser, Shashank Subramanian, Jared Willard

Huge ensembles – Part 2: Properties of a huge ensemble of hindcasts generated with spherical Fourier neural operators

Ankur Mahesh, William D. Collins, Boris Bonev, Noah Brenowitz, Yair Cohen, Peter Harrington, Karthik Kashinath, Thorsten Kurth, Joshua North, Travis O'Brian, Mike Pritchard, David Pruitt, Mark Risser, Shashank Subramanian, Jared Willard

Identity-Motion Trade-offs in Text-to-Video Generation

Yuval Atzmon, Rinon Gal, Yoad Tewel, Yoni Kasten, Gal Chechik

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

SIGGRAPH

Sionna RT: Technical Report

Fayçal Aït Aoudia , Jakob Hoydis, Merlin Nimier-David, Sebastian Cammerer, Alex Keller

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

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, Mark Haoxing 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

ICML

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

SIGGRAPH

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, Mark Haoxing Ren