Characterizing the Shape of Activation Space in Deep Neural Networks

28 January 2019

Papers citing "Characterizing the Shape of Activation Space in Deep Neural Networks"

4 / 4 papers shown

Title
Revisiting Point Cloud Completion: Are We Ready For The Real-World? Stuti Pathak Prashant Kumar Nicholus Mboga Gunther Steenackers R. Penne Rudi Penne 269 0 0 26 Nov 2024
GLiDR: Topologically Regularized Graph Generative Network for Sparse LiDAR Point Clouds Prashant Kumar Kshitij Madhav Bhat Vedang Bhupesh Shenvi Nadkarni P. K. Kalra 38 2 0 29 Nov 2023
An Adversarial Robustness Perspective on the Topology of Neural Networks Morgane Goibert Thomas Ricatte Elvis Dohmatob AAML 21 2 0 04 Nov 2022
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks Guy Katz Clark W. Barrett D. Dill Kyle D. Julian Mykel Kochenderfer AAML 251 1,842 0 03 Feb 2017