Studer, Christoph

19 publications

TMLR 2026 Enhancing Semantic Segmentation with Continual Self-Supervised Pre-Training Brown Ebouky, Ajad Chhatkuli, A. Cristiano I. Malossi, Christoph Studer, Roy Assaf, Andrea Bartezzaghi

ICLR 2025 Cauchy-Schwarz Regularizers Sueda Taner, Ziyi Wang, Christoph Studer

ICLR 2021 WrapNet: Neural Net Inference with Ultra-Low-Precision Arithmetic Renkun Ni, Hong-min Chu, Oscar Castaneda, Ping-yeh Chiang, Christoph Studer, Tom Goldstein

ICLR 2020 Adversarially Robust Transfer Learning Ali Shafahi, Parsa Saadatpanah, Chen Zhu, Amin Ghiasi, Christoph Studer, David Jacobs, Tom Goldstein

NeurIPS 2019 Adversarial Training for Free! Ali Shafahi, Mahyar Najibi, Mohammad Amin Ghiasi, Zheng Xu, John Dickerson, Christoph Studer, Larry S. Davis, Gavin Taylor, Tom Goldstein

ICLR 2019 Are Adversarial Examples Inevitable? Ali Shafahi, W. Ronny Huang, Christoph Studer, Soheil Feizi, Tom Goldstein

ICML 2019 Transferable Clean-Label Poisoning Attacks on Deep Neural Nets Chen Zhu, W. Ronny Huang, Hengduo Li, Gavin Taylor, Christoph Studer, Tom Goldstein

ICML 2018 An Estimation and Analysis Framework for the Rasch Model Andrew Lan, Mung Chiang, Christoph Studer

ICML 2018 Linear Spectral Estimators and an Application to Phase Retrieval Ramina Ghods, Andrew Lan, Tom Goldstein, Christoph Studer

NeurIPS 2018 Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks Ali Shafahi, W. Ronny Huang, Mahyar Najibi, Octavian Suciu, Christoph Studer, Tudor Dumitras, Tom Goldstein

NeurIPS 2018 Visualizing the Loss Landscape of Neural Nets Hao Li, Zheng Xu, Gavin Taylor, Christoph Studer, Tom Goldstein

CVPR 2017 Adaptive Relaxed ADMM: Convergence Theory and Practical Implementation Zheng Xu, Mario A. T. Figueiredo, Xiaoming Yuan, Christoph Studer, Tom Goldstein

ICML 2017 Convex Phase Retrieval Without Lifting via PhaseMax Tom Goldstein, Christoph Studer

AAAI 2017 JAG: A Crowdsourcing Framework for Joint Assessment and Peer Grading Igor Labutov, Christoph Studer

NeurIPS 2017 Training Quantized Nets: A Deeper Understanding Hao Li, Soham De, Zheng Xu, Christoph Studer, Hanan Samet, Tom Goldstein

ECCV 2016 Biconvex Relaxation for Semidefinite Programming in Computer Vision Sohil Shah, Abhay Kumar Yadav, Carlos Domingo Castillo, David W. Jacobs, Christoph Studer, Tom Goldstein

ICML 2016 Dealbreaker: A Nonlinear Latent Variable Model for Educational Data Andrew Lan, Tom Goldstein, Richard Baraniuk, Christoph Studer

CVPR 2016 Estimating Sparse Signals with Smooth Support via Convex Programming and Block Sparsity Sohil Shah, Tom Goldstein, Christoph Studer

JMLR 2014 Sparse Factor Analysis for Learning and Content Analytics Andrew S. Lan, Andrew E. Waters, Christoph Studer, Richard G. Baraniuk