Christoph Studer
16 papers · 2014–2025 · 5 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (5) 🏃 Academic Marathon (11) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (11)
🐣
Hot Topic Early Bird
🌍
Conference Polyglot
(5)
🏃
Academic Marathon
(11)
🌟
Keyword Trendsetter Combo
(3)
🤝
Dynamic Duo
(13)
👑
Triple Crown
📈
Trend Setter
🔥
Unstoppable
(6)
🗃️
Keyword Collector
(70)
💎
Century Club
(16)
❓
The Questioner
Conferences
ICML (5)
ICLR (4)
NIPS (4)
CVPR (2)
JMLR (1)
Top co-authors
Research topics
Keywords
adversarial attack
(3)
convex optimization
(3)
clean-label poisoning
(2)
item response theory
(2)
phase retrieval
(2)
neural network
(2)
probabilistic modeling
(1)
nonconvex optimization
(1)
model quantization
(1)
image restoration
(1)
collaborative filtering
(1)
model robustness
(1)
adversarial robustness
(1)
convergence analysis
(1)
neural network optimization
(1)
transfer learning
(1)
adversarial training
(1)
loss landscape
(1)
asymptotic analysis
(1)
image reconstruction
(1)
Papers
Cauchy-Schwarz Regularizers
ICLR 2025
WrapNet: Neural Net Inference with Ultra-Low-Precision Arithmetic
ICLR 2021
Adversarially robust transfer learning
ICLR 2020
Are adversarial examples inevitable?
ICLR 2019
Transferable Clean-Label Poisoning Attacks on Deep Neural Nets
ICML 2019
Adversarial training for free!
NIPS 2019
Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks
NIPS 2018
Visualizing the Loss Landscape of Neural Nets
NIPS 2018
Linear Spectral Estimators and an Application to Phase Retrieval
ICML 2018
An Estimation and Analysis Framework for the Rasch Model
ICML 2018
Training Quantized Nets: A Deeper Understanding
NIPS 2017
Adaptive Relaxed ADMM: Convergence Theory and Practical Implementation
CVPR 2017
Convex Phase Retrieval without Lifting via PhaseMax
ICML 2017
Dealbreaker: A Nonlinear Latent Variable Model for Educational Data
ICML 2016
Estimating Sparse Signals With Smooth Support via Convex Programming and Block Sparsity
CVPR 2016
Sparse Factor Analysis for Learning and Content Analytics
JMLR 2014