most citedEmergence of Shape Bias in Convolutional Neural Networks through Activation Sparsity

3 citations · 4 across the 3 of their papers we have counts for

collaborators

3 papers

quant-ph2024

Towards enhancing quantum expectation estimation of matrices through partial Pauli decomposition techniques and post-processing

Dingjie Lu, Yangfan Li, Dax Enshan Koh +3

We introduce an approach for estimating the expectation values of arbitrary -qubit matrices on a quantum computer. In contrast to conventional…

quant-ph2023★ 1 cited

From Ad-Hoc to Systematic: A Strategy for Imposing General Boundary Conditions in Discretized PDEs in variational quantum algorithm

Dingjie Lu, Zhao Wang, Jun Liu +3

We proposed a general quantum-computing-based algorithm that harnesses the exponential power of noisy intermediate-scale quantum (NISQ) devices in solving partial differential equa…

cs.CV2023★ 3 cited

Emergence of Shape Bias in Convolutional Neural Networks through Activation Sparsity

Tianqin Li, Ziqi Wen, Yangfan Li +1

Current deep-learning models for object recognition are known to be heavily biased toward texture. In contrast, human visual systems are known to be biased toward shape and structu…