Reducing the Memory Footprint of Parallel Applications with KSM. - Nathalie Rauschmayr; Achim Streit (Facing the Multicore-Challenge, 2012)

Evaluation of x32-ABI in the Context of LHC Applications. - Nathalie Rauschmayr; Achim Streit (ICCS, 2013)

Evaluating Moldability of LHCb Jobs for Multicore Job Submission. - Nathalie Rauschmayr; Achim Streit (SYNASC, 2013)

Optimisation of LHCb Applications for Multi- and Manycore Job Submission. - Nathalie Rauschmayr (2014)

Amazon SageMaker Debugger: A System for Real-Time Insights into Machine Learning Model Training. - Nathalie Rauschmayr; Vikas Kumar; Rahul Huilgol; Andrea Olgiati; Satadal Bhattacharjee; Nihal Harish; Vandana Kannan; Amol Lele; Anirudh Acharya; Jared Nielsen; Lakshmi Ramakrishnan; Ishan Bhatt; et al. (MLSys, 2021)

Defuse: Harnessing Unrestricted Adversarial Examples for Debugging Models Beyond Test Accuracy. - Dylan Slack; Nathalie Rauschmayr; Krishnaram Kenthapadi (CoRR, 2021)

Generating Distributional Adversarial Examples to Evade Statistical Detectors. - Yigitcan Kaya; Muhammad Bilal Zafar; Sergül Aydöre; Nathalie Rauschmayr; Krishnaram Kenthapadi (ICML, 2022)

Profiling Deep Learning Workloads at Scale using Amazon SageMaker. - Nathalie Rauschmayr; Sami Kama; Muhyun Kim; Miyoung Choi; Krishnaram Kenthapadi (KDD, 2022)

Extracting Training Data From Document-Based VQA Models. - Francesco Pinto; Nathalie Rauschmayr; Florian Tramèr; Philip Torr 001; Federico Tombari (ICML, 2024)

Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence. - Shangbin Feng; Zifeng Wang 002; Yike Wang 002; Sayna Ebrahimi; Hamid Palangi; Lesly Miculicich; Achin Kulshrestha; Nathalie Rauschmayr; Yejin Choi 001; Yulia Tsvetkov; Chen-Yu Lee; Tomas Pfister (CoRR, 2024)

Test-Time Visual In-Context Tuning. - Jiahao Xie; Alessio Tonioni; Nathalie Rauschmayr; Federico Tombari; Bernt Schiele (CVPR, 2025)

I Know What I Don't Know: Improving Model Cascades Through Confidence Tuning. - Stephan Rabanser; Nathalie Rauschmayr; Achin Kulshrestha; Petra Poklukar; Wittawat Jitkrittum; Sean Augenstein; Congchao Wang; Federico Tombari (CoRR, 2025)