Preconditioned Spectral Descent for Deep Learning. - David E. Carlson; Edo Collins; Ya-Ping Hsieh; Lawrence Carin; Volkan Cevher (NIPS, 2015)

Stochastic Spectral Descent for Discrete Graphical Models. - David E. Carlson; Ya-Ping Hsieh; Edo Collins; Lawrence Carin; Volkan Cevher (IEEE J. Sel. Top. Signal Process., 2016)

Color representation in deep neural networks. - Martin Engilberge; Edo Collins; Sabine Süsstrunk (ICIP, 2017)

Deep Feature Factorization for Concept Discovery. - Edo Collins; Radhakrishna Achanta; Sabine Süsstrunk (ECCV (14), 2018)

Deep Learning for Logic Optimization Algorithms. - Winston Haaswijk; Edo Collins; Benoit Seguin; Mathias Soeken; Frédéric Kaplan; Sabine Süsstrunk; Giovanni De Micheli (ISCAS, 2018)

Detecting Memorization in ReLU Networks. - Edo Collins; Siavash Arjomand Bigdeli; Sabine Süsstrunk (CoRR, 2018)

Deep Feature Factorization for Content-Based Image Retrieval and Localization. - Edo Collins; Sabine Süsstrunk (ICIP, 2019)

Evaluating and Interpreting Deep Convolutional Neural Networks via Non-negative Matrix Factorization. - Edo Collins (2019)

Editing in Style: Uncovering the Local Semantics of GANs. - Edo Collins; Raja Bala; Bob Price; Sabine Süsstrunk (CVPR, 2020)

NeRF-GAN Distillation for Efficient 3D-Aware Generation with Convolutions. - Mohamad Shahbazi; Evangelos Ntavelis; Alessio Tonioni; Edo Collins; Danda Pani Paudel; Martin Danelljan; Luc Van Gool (ICCV (Workshops), 2023)

InseRF: Text-Driven Generative Object Insertion in Neural 3D Scenes. - Mohamad Shahbazi; Liesbeth Claessens; Michael Niemeyer; Edo Collins; Alessio Tonioni; Luc Van Gool; Federico Tombari (CoRR, 2024)

GANtlitz: Ultra High Resolution Generative Model for Multi-Modal Face Textures. - Aurel Gruber; Edo Collins; Abhimitra Meka; Franziska Mueller 001; Kripasindhu Sarkar; Sergio Orts; Luca Prasso; Jay Busch; Markus Gross 001; Thabo Beeler (Comput. Graph. Forum, 2024)