activity
20182026
most citedStressGAN: A Generative Deep Learning Model for 2D Stress Distribution Prediction

145 citations · 339 across the 28 of their papers we have counts for

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Showing 2018Show all

5 papers · 1 filter

cs.GR2018★ 26 cited

Lightweight Structure Design Under Force Location Uncertainty

Erva Ulu, James McCann, Levent Burak Kara

We introduce a lightweight structure optimization approach for problems in which there is uncertainty in the force locations. Such uncertainty may arise due to force contact locati…

stat.ML2018★ 1 cited

Efficient Load Sampling for Worst-Case Structural Analysis Under Force Location Uncertainty

Yining Wang, Erva Ulu, Aarti Singh +1

An important task in structural design is to quantify the structural performance of an object under the external forces it may experience during its use. The problem proves to be c…

cs.LG2018★ 51 cited

3D Topology Optimization using Convolutional Neural Networks

Saurabh Banga, Harsh Gehani, Sanket Bhilare +2

Topology optimization is computationally demanding that requires the assembly and solution to a finite element problem for each material distribution hypothesis. As a complementary…

hep-ph2018★ 5 cited

The TauSpinner approach for electroweak corrections in LHC Z to ll observables

E. Richter-Was, Z. Was

The LHC enters era of the Standard Model Z-boson couplings precise measurements, to match precision of LEP. The calculations of electroweak (EW) corrections in the Monte Carlo gene…

cs.CV2018

Data-driven Upsampling of Point Clouds

Wentai Zhang, Haoliang Jiang, Zhangsihao Yang +3

High quality upsampling of sparse 3D point clouds is critically useful for a wide range of geometric operations such as reconstruction, rendering, meshing, and analysis. In this pa…