Publications | Research

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Algorithms and Numerical Methods

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2023

Compact Neural Graphics Primitives with Learned Hash Probing

Towaki Takikawa, Thomas Müller, Merlin Nimier-David, Alex Evans, Sanja Fidler, Alec Jacobson, Alex Keller

SIGGRAPH

Graph Metanetworks for Processing Diverse Neural Architectures

Derek Lim, Haggai Maron, Marc T. Law, Jonathan Lorraine, James Lucas

ICLR

Graph Neural Networks for Enhanced Decoding of Quantum LDPC Codes

Anqi Gong, Sebastian Cammerer, Joseph M. Renes

Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere

Boris Bonev, Thorsten Kurth, Christian Hundt, Jaideep Pathak, Maximilian Baust, Karthik Kashinath, Anima Anandkumar

ICML

2019

Instant Quantization of neural networks using Monte Carlo Methods

Gonçalo Mordido, Matthijs Van keirsbilck, Alex Keller

NeurIPS

DREAMPlace: Deep Learning Toolkit-Enabled GPU Acceleration for Modern VLSI Placement

Yibo Lin, Shounak Dhar, Wuxi Li, Mark Haoxing 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