15.1k citations · 36.9k across the 152 of their papers we have counts for
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SVNet: Where SO(3) Equivariance Meets Binarization on Point Cloud Representation
Zhuo Su, Max Welling, Matti Pietikäinen +1
Efficiency and robustness are increasingly needed for applications on 3D point clouds, with the ubiquitous use of edge devices in scenarios like autonomous driving and robotics, wh…
Clifford Neural Layers for PDE Modeling
Johannes Brandstetter, Rianne van den Berg, Max Welling +1
Partial differential equations (PDEs) see widespread use in sciences and engineering to describe simulation of physical processes as scalar and vector fields interacting and coevol…
Bayesian Optimization for Macro Placement
Changyong Oh, Roberto Bondesan, Dana Kianfar +6
Macro placement is the problem of placing memory blocks on a chip canvas. It can be formulated as a combinatorial optimization problem over sequence pairs, a representation which d…
Complex-Valued Autoencoders for Object Discovery
Sindy Löwe, Phillip Lippe, Maja Rudolph +1
Object-centric representations form the basis of human perception, and enable us to reason about the world and to systematically generalize to new settings. Currently, most works o…
Neural RF SLAM for unsupervised positioning and mapping with channel state information
Shreya Kadambi, Arash Behboodi, Joseph B. Soriaga +4
We present a neural network architecture for jointly learning user locations and environment mapping up to isometry, in an unsupervised way, from channel state information (CSI) va…
Equivariant Diffusion for Molecule Generation in 3D
Emiel Hoogeboom, Victor Garcia Satorras, Clément Vignac +1
This work introduces a diffusion model for molecule generation in 3D that is equivariant to Euclidean transformations. Our E(3) Equivariant Diffusion Model (EDM) learns to denoise…