Carsten Eickhoff
Brown University
H-index: 29
North America-United States
Top articles of Carsten Eickhoff
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Axiomatic Causal Interventions for Reverse Engineering Relevance Computation in Neural Retrieval Models | Catherine Chen Jack Merullo Carsten Eickhoff | 2024 | |
Learning to Make Rare and Complex Diagnoses With Generative AI Assistance: Qualitative Study of Popular Large Language Models | JMIR Medical Education | Tassallah Abdullahi Ritambhara Singh Carsten Eickhoff | 2024/2/13 |
Predicting Acute Brain Injury in Venoarterial Extracorporeal Membrane Oxygenation Patients with Tree-Based Machine Learning: Analysis of the Extracorporeal Life Support … | Andrew Kalra Preetham Bachina Benjamin L Shou Jaeho Hwang Meylakh Barshay | 2024/1/11 | |
Controllable Topic-Focused Abstractive Summarization | arXiv preprint arXiv:2311.06724 | Seyed Ali Bahrainian Martin Jaggi Carsten Eickhoff | 2023/11/12 |
Parameter-efficient modularised bias mitigation via AdapterFusion | arXiv preprint arXiv:2302.06321 | Deepak Kumar Oleg Lesota George Zerveas Daniel Cohen Carsten Eickhoff | 2023/2/13 |
80: Transfer Learning Boosts Performance Of Deep Learning Model Prediction of In-Hospital Mortality In Patients Treated With Extracorporeal Membrane Oxygenation | ASAIO Journal | Adeel Abbasi Isaac Sears George Zerveas Neel Sodha Corey Ventetuolo | 2023/9/1 |
Language models implement simple word2vec-style vector arithmetic | arXiv preprint arXiv:2305.16130 | Jack Merullo Carsten Eickhoff Ellie Pavlick | 2023/5/25 |
SSE: A Metric for Evaluating Search System Explainability | arXiv preprint arXiv:2306.10175 | Catherine Chen Carsten Eickhoff | 2023/6/16 |
Outlier Dimensions Encode Task-Specific Knowledge | arXiv preprint arXiv:2310.17715 | William Rudman Catherine Chen Carsten Eickhoff | 2023/10/26 |
Utilizing Machine Learning to Predict Neurological Injury in Venovenous Extracorporeal Membrane Oxygenation Patients: An Extracorporeal Life Support Organization Registry Analysis | Andrew Kalra Preetham Bachina Benjamin L Shou Jaeho Hwang Meylakh Barshay | 2023/12/22 | |
Neural text generation in regulatory medical writing | Frontiers in Pharmacology | Claudia Meyer Daniel Adkins Koyena Pal Ruggero Galici Augusto Garcia-Agundez | 2023/2/10 |
Delirium detection using wearable sensors and machine learning in patients with intracerebral hemorrhage | Frontiers in Neurology | Abdullah Ahmed Augusto Garcia-Agundez Ivana Petrovic Fatemeh Radaei James Fife | 2023/6/9 |
Neural Summarization of Electronic Health Records | arXiv preprint arXiv:2305.15222 | Koyena Pal Seyed Ali Bahrainian Laura Mercurio Carsten Eickhoff | 2023/5/24 |
The Potential of Machine-learning in Pharmacogenetics, Pharmacogenomics and Pharmacoepidemiology: Volume II | Frontiers in Pharmacology | Augusto Garcia-Agundez Elena Garcia-Martin Carsten Eickhoff | 2023/8/29 |
Predictive uncertainty-based bias mitigation in ranking | Maria Heuss Daniel Cohen Masoud Mansoury Maarten de Rijke Carsten Eickhoff | 2023/10 | |
Transcriptional profiles of pulmonary artery endothelial cells in pulmonary hypertension | Scientific Reports | Navneet Singh Carsten Eickhoff Augusto Garcia-Agundez Paul Bertone Sunita S Paudel | 2023/12/18 |
A mechanism for solving relational tasks in transformer language models | Jack Merullo Carsten Eickhoff Ellie Pavlick | 2023/5 | |
Risk Factors for Pediatric Sepsis in the Emergency Department: A Machine Learning Pilot Study | Pediatric Emergency Care | Laura Mercurio Sovijja Pou Susan Duffy Carsten Eickhoff | 2023/2/1 |
Using Machine Learning to Predict Hospitalization and Mortality of COVID-19 Patients with Diabetic Retinopathy | Investigative Ophthalmology & Visual Science | Katherine Zhong Elizabeth Chen Carsten Eickhoff Paul Greenberg | 2023/6/1 |
Impact Factors for Computer Science Conferences | arXiv preprint arXiv:2310.08037 | Carsten Eickhoff | 2023/10/12 |
Co-Authors
