Publications

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

Filters

Filters

Publication Year

Research Areas

Events

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

2019

Instant Quantization of neural networks using Monte Carlo Methods
Gonçalo Mordido, Matthijs Van keirsbilck, Alex Keller
DREAMPlace: Deep Learning Toolkit-Enabled GPU Acceleration for Modern VLSI Placement
Yibo Lin, Shounak Dhar, Wuxi Li, Haoxing (Mark) Ren, Brucek Khailany, David Z. Pan
DAC 2019 Best Paper Award
Dynamic Diffuse Global Illumination with Ray-Traced Irradiance Fields
Zander Majercik, Jean-Philippe Guertin, Derek Nowrouzezahrai, Morgan McGuire
Cool Patches: A Geometric Approach to Ray/Bilinear Patch Intersections
Alexander Reshetov
Rethinking full connectivity in recurrent neural networks
Matthijs Van keirsbilck, Alex Keller, Xiaodong Yang
A Fast and Robust Method for Avoiding Self-Intersection
Carsten Wächter, Nikolaus Binder
Massively Parallel Path Space Filtering
Nikolaus Binder, Sascha Fricke, Alex Keller
Massively Parallel Construction of Radix Tree Forests for the Efficient Sampling of Discrete Probability Distributions
Nikolaus Binder, Alex Keller