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Algorithms and Numerical Methods

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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

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, Haoxing (Mark) Ren