Skip to content

Home Search Authors Pakistan News Saved

SciRah

SciRah does not host or store research papers. Results come live from free, official scholarly APIs, and every paper links back to its original source.

Data sources

OpenAlex
Semantic Scholar
Crossref
CORE
arXiv
PubMed

Privacy policy Terms of service

Stephan Rabanser · SciRah

Researcher profile · Semantic Scholar

Stephan Rabanser

Share profile

Stephan Rabanser — researcher profile on SciRah

h-index: 9
Works: 20
Citations: 1,013

Most-cited papers

Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift
Stephan Rabanser, Stephan Günnemann, Zachary Chase Lipton
2018Neural Information Processing Systems531 citations
Semantic Scholar
Introduction to Tensor Decompositions and their Applications in Machine Learning
Stephan Rabanser, Oleksandr Shchur, Stephan Günnemann
2017arXiv.org232 citations
Semantic Scholar
Towards a Science of AI Agent Reliability
Stephan Rabanser, Sayash Kapoor, Peter Kirgis, Kangheng Liu +2 more
2026arXiv.org91 citations
Semantic Scholar
The Effectiveness of Discretization in Forecasting: An Empirical Study on Neural Time Series Models
Stephan Rabanser, Tim Januschowski, Valentin Flunkert, David Salinas +1 more
2020arXiv.org37 citations
Semantic Scholar
Selective Prediction via Training Dynamics
Stephan Rabanser, Anvith Thudi, K. Hamidieh, Adam Dziedzic +4 more
2022Trans. Mach. Learn. Res.29 citations
Semantic Scholar
Can AI agents conduct open-ended AI research? Early evidence from two case studies
Peter Kirgis, Sayash Kapoor, Andrew Schwartz, Stephan Rabanser +20 more
2026arXiv.org14 citations
Semantic Scholar
Log analysis is necessary for credible evaluation of AI agents
Peter Kirgis, Sayash Kapoor, Stephan Rabanser, Nitya Nadgir +7 more
2026arXiv.org13 citations
Semantic Scholar
Gatekeeper: Improving Model Cascades Through Confidence Tuning
Stephan Rabanser, N. Rauschmayr, Achin Kulshrestha, Petra Poklukar +4 more
2025Neural Information Processing Systems13 citations Open access
Semantic Scholar
Training Private Models That Know What They Don't Know
Stephan Rabanser, Anvith Thudi, Abhradeep Thakurta, K. Dvijotham +1 more
2023Neural Information Processing Systems10 citations Open access
Semantic Scholar
Open-World Evaluations for Measuring Frontier AI Capabilities
Sayash Kapoor, Peter Kirgis, Andrew Schwartz, Stephan Rabanser +14 more
2026arXiv.org9 citations
Semantic Scholar
Cascadia: An Efficient Cascade Serving System for Large Language Models
You-He Jiang, Fang-Cheng Fu, Wanru Zhao, Stephan Rabanser +3 more
20259 citations
Semantic Scholar
What Does It Take to Build a Performant Selective Classifier?
Stephan Rabanser, Nicolas Papernot
2025Neural Information Processing Systems8 citations
Semantic Scholar
Robust and Actively Secure Serverless Collaborative Learning
Olive Franzese, Adam Dziedzic, Christopher A. Choquette-Choo, M. Thomas +6 more
2023Neural Information Processing Systems8 citations
Semantic Scholar
Intrinsic Anomaly Detection for Multi-Variate Time Series
Stephan Rabanser, Tim Januschowski, Kashif Rasul, Oliver Borchert +5 more
2022arXiv.org5 citations Open access
Semantic Scholar
Life After Benchmark Saturation: A Case Study of CORE-Bench
Nitya Nadgir, Sayash Kapoor, Kangheng Liu, Peter Kirgis +10 more
2026arXiv.org4 citations
Semantic Scholar
Suitability Filter: A Statistical Framework for Classifier Evaluation in Real-World Deployment Settings
Angéline Pouget, Mohammad Yaghini, Stephan Rabanser, Nicolas Papernot
2025International Conference on Machine Learning4 citations
Semantic Scholar
Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning
Stephan Rabanser
2025arXiv.org4 citations
Semantic Scholar
p-DkNN: Out-of-Distribution Detection Through Statistical Testing of Deep Representations
Adam Dziedzic, Stephan Rabanser, Mohammad Yaghini, Armin Ale +2 more
2022arXiv.org4 citations Open access
Semantic Scholar
Confidential Guardian: Cryptographically Prohibiting the Abuse of Model Abstention
Stephan Rabanser, A. Shamsabadi, Olive Franzese, Xiao Wang +2 more
2025International Conference on Machine Learning2 citations
Semantic Scholar
I Know What I Don't Know: Improving Model Cascades Through Confidence Tuning
Stephan Rabanser, N. Rauschmayr, Achin Kulshrestha, Petra Poklukar +4 more
2025arXiv.org0 citations
Semantic Scholar

Frequent co-authors

Invite them to SciRah by sharing their profile.

Nicolas Papernot×7
Invite
Nicolas Papernot — researcher profile on SciRah
Sayash Kapoor×5
Invite
Sayash Kapoor — researcher profile on SciRah
Peter Kirgis×5
Invite
Peter Kirgis — researcher profile on SciRah
Arvind Narayanan×4
Invite
Arvind Narayanan — researcher profile on SciRah

Invite

M. Dubois — researcher profile on SciRah

Invite

C. Ududec — researcher profile on SciRah

Nitya Nadgir×3

Invite

Nitya Nadgir — researcher profile on SciRah

Stephan Günnemann×2

Invite

Stephan Günnemann — researcher profile on SciRah

Kangheng Liu×2

Invite

Kangheng Liu — researcher profile on SciRah

Saiteja Utpala×2

Invite

Saiteja Utpala — researcher profile on SciRah

Tim Januschowski×2

Invite

Tim Januschowski — researcher profile on SciRah

Valentin Flunkert×2

Invite

Valentin Flunkert — researcher profile on SciRah