Carsten Eickhoff

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 123

Top Venues

Publications

Yuanfei Dai, Wenzhong Guo, Carsten Eickhoff
Wasserstein adversarial learning based temporal knowledge graph embedding. Inf. Sci. 659 (2024)
Michal Golovanevsky, Eva Schiller, Akira Nair, Ritambhara Singh, Carsten Eickhoff
One-Versus-Others Attention: Scalable Multimodal Integration. CoRR (2023)
William Rudman, Catherine Chen, Carsten Eickhoff
Outlier Dimensions Encode Task Specific Knowledge. EMNLP (2023)
Sofia Blinova, Xinyu Zhou, Martin Jaggi, Carsten Eickhoff, Seyed Ali Bahrainian
SIMSUM: Document-level Text Simplification via Simultaneous Summarization. ACL (1) (2023)
Ilkay Yildiz Potter, George Zerveas, Carsten Eickhoff, Dominique Duncan
Unsupervised Multivariate Time-Series Transformers for Seizure Identification on EEG. CoRR (2023)
Catherine Chen, Carsten Eickhoff
SSE: A Metric for Evaluating Search System Explainability. CoRR (2023)
Deepak Kumar, Oleg Lesota, George Zerveas, Daniel Cohen, Carsten Eickhoff, Markus Schedl, Navid Rekabsaz
Parameter-efficient Modularised Bias Mitigation via AdapterFusion. EACL (2023)
Isaac Sears, Augusto Garcia-Agundez, George Zerveas, William Rudman, Laura Mercurio, Corey E. Ventetuolo, Adeel Abbasi, Carsten Eickhoff
Leveraging Unlabeled Electroencephalographic Data to Predict Neurological Recovery for Comatose Patients Following Cardiac Arrest. CinC (2023)
George Zerveas, Navid Rekabsaz, Carsten Eickhoff
Enhancing the Ranking Context of Dense Retrieval through Reciprocal Nearest Neighbors. EMNLP (2023)
Seyed Ali Bahrainian, Martin Jaggi, Carsten Eickhoff
Controllable Topic-Focused Abstractive Summarization. CoRR (2023)
George Zerveas, Navid Rekabsaz, Carsten Eickhoff
Enhancing the Ranking Context of Dense Retrieval Methods through Reciprocal Nearest Neighbors. CoRR (2023)
Jack Merullo, Carsten Eickhoff, Ellie Pavlick
Circuit Component Reuse Across Tasks in Transformer Language Models. CoRR (2023)
Maria Heuss, Daniel Cohen, Masoud Mansoury, Maarten de Rijke, Carsten Eickhoff
Predictive Uncertainty-based Bias Mitigation in Ranking. CIKM (2023)
William Rudman, Catherine Chen, Carsten Eickhoff
Outlier Dimensions Encode Task-Specific Knowledge. CoRR (2023)
Deepak Kumar, Oleg Lesota, George Zerveas, Daniel Cohen, Carsten Eickhoff, Markus Schedl, Navid Rekabsaz
Parameter-efficient Modularised Bias Mitigation via AdapterFusion. CoRR (2023)
Koyena Pal, Seyed Ali Bahrainian, Laura Mercurio, Carsten Eickhoff
Neural Summarization of Electronic Health Records. CoRR (2023)
Ruochen Zhang, Carsten Eickhoff
CroCoSum: A Benchmark Dataset for Cross-Lingual Code-Switched Summarization. CoRR (2023)
Carsten Eickhoff
Impact Factors for Computer Science Conferences. CoRR (2023)
Maria Heuss, Daniel Cohen, Masoud Mansoury, Maarten de Rijke, Carsten Eickhoff
Predictive Uncertainty-based Bias Mitigation in Ranking. CoRR (2023)
Jack Merullo, Carsten Eickhoff, Ellie Pavlick
Language Models Implement Simple Word2Vec-style Vector Arithmetic. CoRR (2023)
Jack Merullo, Louis Castricato, Carsten Eickhoff, Ellie Pavlick
Linearly Mapping from Image to Text Space. ICLR (2023)
William Rudman, Carsten Eickhoff
Stable Anisotropic Regularization. CoRR (2023)
George Zerveas, Navid Rekabsaz, Daniel Cohen, Carsten Eickhoff
CODER: An efficient framework for improving retrieval through COntextual Document Embedding Reranking. EMNLP (2022)
Jack Merullo, Dylan Ebert, Carsten Eickhoff, Ellie Pavlick
Pretraining on Interactions for Learning Grounded Affordance Representations. CoRR (2022)
Augusto Garcia-Agundez, Carsten Eickhoff
When BERT Fails - The Limits of EHR Classification. AMIA (2022)
William Jurayj, William Rudman, Carsten Eickhoff
Garden-Path Traversal within GPT-2. CoRR (2022)
William Rudman, Jack Merullo, Laura Mercurio, Carsten Eickhoff
ACQuA: Anomaly Classification with Quasi-Attractors. CinC (2022)
Seyed Ali Bahrainian, George Zerveas, Fabio Crestani, Carsten Eickhoff
CATS: Customizable Abstractive Topic-based Summarization. ACM Trans. Inf. Syst. 40 (1) (2022)
Catherine Chen, Carsten Eickhoff
Evaluating Search Explainability with Psychometrics and Crowdsourcing. CoRR (2022)
Michal Golovanevsky, Carsten Eickhoff, Ritambhara Singh
Multimodal attention-based deep learning for Alzheimer's disease diagnosis. J. Am. Medical Informatics Assoc. 29 (12) (2022)
Jack Merullo, Dylan Ebert, Carsten Eickhoff, Ellie Pavlick
Pretraining on Interactions for Learning Grounded Affordance Representations. *SEM@NAACL-HLT (2022)
William Rudman, Nate Gillman, Taylor Rayne, Carsten Eickhoff
IsoScore: Measuring the Uniformity of Embedding Space Utilization. ACL (Findings) (2022)
Seyed Ali Bahrainian, Sheridan Feucht, Carsten Eickhoff
NEWTS: A Corpus for News Topic-Focused Summarization. ACL (Findings) (2022)
George Zerveas, Navid Rekabsaz, Daniel Cohen, Carsten Eickhoff
Mitigating Bias in Search Results Through Contextual Document Reranking and Neutrality Regularization. SIGIR (2022)
William Jurayj, William Rudman, Carsten Eickhoff
Garden Path Traversal in GPT-2. BlackboxNLP@EMNLP (2022)
Michal Golovanevsky, Carsten Eickhoff, Ritambhara Singh
Multimodal Attention-based Deep Learning for Alzheimer's Disease Diagnosis. CoRR (2022)
Ilkay Yildiz Potter, George Zerveas, Carsten Eickhoff, Dominique Duncan
Unsupervised Multivariate Time-Series Transformers for Seizure Identification on EEG. ICMLA (2022)
Daniel Cohen, Kevin Du, Bhaskar Mitra, Laura Mercurio, Navid Rekabsaz, Carsten Eickhoff
Inconsistent Ranking Assumptions in Medical Search and Their Downstream Consequences. SIGIR (2022)
Seyed Ali Bahrainian, Sheridan Feucht, Carsten Eickhoff
NEWTS: A Corpus for News Topic-Focused Summarization. CoRR (2022)
Jack Merullo, Louis Castricato, Carsten Eickhoff, Ellie Pavlick
Linearly Mapping from Image to Text Space. CoRR (2022)
Chris K. Kim, Ji Whae Choi, Zhicheng Jiao, Dongcui Wang, Jing Wu, Thomas Y. Yi, Kasey C. Halsey, Feyisope Eweje, Thi My Linh Tran, Chang Liu, Robin Wang, John Sollee, Celina Hsieh, Ken Chang, Fang-Xue Yang, Ritambhara Singh, Jie-Lin Ou, Raymond Y. Huang, Cai Feng, Michael D. Feldman, Tao Liu, Ji Sheng Gong, Shaolei Lu, Carsten Eickhoff, Xue Feng, Ihab Kamel, Ronnie Sebro, Michael Atalay, Terrance Healey, Yong Fan, Wei-hua Liao, Jianxin Wang, Harrison Bai
An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data. npj Digit. Medicine 5 (2022)
Augusto Garcia-Agundez, Carsten Eickhoff
When BERT Fails - The Limits of EHR Classification. CoRR (2022)
Yuanfei Dai, Wenzhong Guo, Carsten Eickhoff
Wasserstein Adversarial Learning based Temporal Knowledge Graph Embedding. CoRR (2022)
Babak Hemmatian, Sheridan Feucht, Rachel Avram, Alexander Wey, Muskaan Garg, Kate Spitalnic, Carsten Eickhoff, Ellie Pavlick, Björn Sandstede, Steven A. Sloman
A Novel Corpus of Discourse Structure in Humans and Computers. CoRR (2021)
Zhizhong Chen, Carsten Eickhoff
ExpertRank: A Multi-level Coarse-grained Expert-based Listwise Ranking Loss. CoRR (2021)
Toni Sagayaraj, Carsten Eickhoff
Image-Like Graph Representations for Improved Molecular Property Prediction. CoRR (2021)
Zhizhong Chen, Carsten Eickhoff
The Cross-Lingual Arabic Information REtrieval (CLAIRE) System. CoRR (2021)
Navid Rekabsaz, Oleg Lesota, Markus Schedl, Jon Brassey, Carsten Eickhoff
TripClick: The Log Files of a Large Health Web Search Engine. SIGIR (2021)
Ruochen Zhang, Carsten Eickhoff
SOCCER: An Information-Sparse Discourse State Tracking Collection in the Sports Commentary Domain. NAACL-HLT (2021)
George Zerveas, Navid Rekabsaz, Daniel Cohen, Carsten Eickhoff
CODER: An efficient framework for improving retrieval through COntextualized Document Embedding Reranking. CoRR (2021)
Oleg Lesota, Navid Rekabsaz, Daniel Cohen, Klaus Antonius Grasserbauer, Carsten Eickhoff, Markus Schedl
A Modern Perspective on Query Likelihood with Deep Generative Retrieval Models. CoRR (2021)
William Rudman, Nate Gillman, Taylor Rayne, Carsten Eickhoff
IsoScore: Measuring the Uniformity of Vector Space Utilization. CoRR (2021)
Daniel Cohen, Bhaskar Mitra, Oleg Lesota, Navid Rekabsaz, Carsten Eickhoff
Not All Relevance Scores are Equal: Efficient Uncertainty and Calibration Modeling for Deep Retrieval Models. CoRR (2021)
Ruochen Zhang, Carsten Eickhoff
SOCCER: An Information-Sparse Discourse State Tracking Collection in the Sports Commentary Domain. CoRR (2021)
Oleg Lesota, Navid Rekabsaz, Daniel Cohen, Klaus Antonius Grasserbauer, Carsten Eickhoff, Markus Schedl
A Modern Perspective on Query Likelihood with Deep Generative Retrieval Models. ICTIR (2021)
Yuanfei Dai, Chenhao Guo, Wenzhong Guo, Carsten Eickhoff
Drug-drug interaction prediction with Wasserstein Adversarial Autoencoder-based knowledge graph embeddings. Briefings Bioinform. 22 (4) (2021)
Seyed Ali Bahrainian, Martin Jaggi, Carsten Eickhoff
Self-Supervised Neural Topic Modeling. EMNLP (Findings) (2021)
Zhizhong Chen, Carsten Eickhoff
PoolRank: Max/Min Pooling-based Ranking Loss for Listwise Learning & Ranking Balance. CoRR (2021)
George Zerveas, Srideepika Jayaraman, Dhaval Patel, Anuradha Bhamidipaty, Carsten Eickhoff
A Transformer-based Framework for Multivariate Time Series Representation Learning. KDD (2021)
Navid Rekabsaz, Oleg Lesota, Markus Schedl, Jon Brassey, Carsten Eickhoff
TripClick: The Log Files of a Large Health Web Search Engine. CoRR (2021)
Daniel Cohen, Bhaskar Mitra, Oleg Lesota, Navid Rekabsaz, Carsten Eickhoff
Not All Relevance Scores are Equal: Efficient Uncertainty and Calibration Modeling for Deep Retrieval Models. SIGIR (2021)
Abdullah Ahmed, Adeel Abbasi, Carsten Eickhoff
Benchmarking Modern Named Entity Recognition Techniques for Free-text Health Record De-identification. CoRR (2021)
Avi Arampatzis, Linda Cappellato, Carsten Eickhoff, Nicola Ferro, Hideo Joho, Evangelos Kanoulas, Christina Lioma, Aurélie Névéol, Theodora Tsikrika, Stefanos Vrochidis
Report on CLEF 2020. SIGIR Forum 54 (2) (2020)
Nina Rank, Boris Pfahringer, Jörg Kempfert, Christof Stamm, Titus Kühne, Felix Schoenrath, Volkmar Falk, Carsten Eickhoff, Alexander Meyer
Deep-learning-based real-time prediction of acute kidney injury outperforms human predictive performance. npj Digit. Medicine 3 (2020)
Cindy Li, Elizabeth Chen, Guergana Savova, Hamish Fraser, Carsten Eickhoff
Mining Misdiagnosis Patterns from Biomedical Literature. CoRR (2020)
Albert Webson, Zhizhong Chen, Carsten Eickhoff, Ellie Pavlick
Are "Undocumented Workers" the Same as "Illegal Aliens"? Disentangling Denotation and Connotation in Vector Spaces. CoRR (2020)
George Zerveas, Srideepika Jayaraman, Dhaval Patel, Anuradha Bhamidipaty, Carsten Eickhoff
A Transformer-based Framework for Multivariate Time Series Representation Learning. CoRR (2020)
Albert Webson, Zhizhong Chen, Carsten Eickhoff, Ellie Pavlick
Do "Undocumented Workers" == "Illegal Aliens"? Differentiating Denotation and Connotation in Vector Spaces. EMNLP (1) (2020)
Carsten Eickhoff, Yubin Kim, Ryen W. White
Overview of the Health Search and Data Mining (HSDM 2020) Workshop. WSDM (2020)
George Zerveas, Ruochen Zhang, Leila Kim, Carsten Eickhoff
Brown University at TREC Deep Learning 2019. CoRR (2020)
Yuanfei Dai, Chenhao Guo, Wenzhong Guo, Carsten Eickhoff
Wasserstein Adversarial Autoencoders for Knowledge Graph Embedding based Drug-Drug Interaction Prediction. CoRR (2020)
Aaron S. Eisman, Nishant R. Shah, Carsten Eickhoff, George Zerveas, Elizabeth S. Chen, Wen-Chih Wu, Indra Neil Sarkar
Extracting Angina Symptoms from Clinical Notes Using Pre-Trained Transformer Architectures. AMIA (2020)
Gil Alon, Elizabeth Chen, Guergana Savova, Carsten Eickhoff
Diagnosis Prevalence vs. Efficacy in Machine-learning Based Diagnostic Decision Support. CoRR (2020)
Jerome Ramos, Carsten Eickhoff
Search Result Explanations Improve Efficiency and Trust. SIGIR (2020)
Aaron S. Eisman, Nishant R. Shah, Carsten Eickhoff, George Zerveas, Elizabeth S. Chen, Wen-Chih Wu, Indra Neil Sarkar
Extracting Angina Symptoms from Clinical Notes Using Pre-Trained Transformer Architectures. CoRR (2020)
Carsten Eickhoff, Floran Gmehlin, Anu V. Patel, Jocelyn Boullier, Hamish Fraser
DC3 - A Diagnostic Case Challenge Collection for Clinical Decision Support. CoRR (2019)
Leandro von Werra, Marcel Schöngens, Ece D. Gamsiz Uzun, Carsten Eickhoff
Generative Adversarial Networks in Precision Oncology. ICTIR (2019)
Sebastian Hofstätter, Navid Rekabsaz, Carsten Eickhoff, Allan Hanbury
On the Effect of Low-Frequency Terms on Neural-IR Models. CoRR (2019)
George Zerveas, Ruochen Zhang, Leila Kim, Carsten Eickhoff
Brown University at TREC Deep Learning 2019. TREC (2019)
Carsten Eickhoff, Floran Gmehlin, Anu V. Patel, Jocelyn Boullier, Hamish Fraser
DC3 - A Diagnostic Case Challenge Collection for Clinical Decision Support. ICTIR (2019)
Harun Mustafa, Ingo Schilken, Mikhail Karasikov, Carsten Eickhoff, Gunnar Rätsch, André Kahles
Dynamic compression schemes for graph coloring. Bioinform. 35 (3) (2019)
Yarden Raiskin, Carsten Eickhoff, Patrick E. Beeler
Categorization of free-text drug orders using character-level recurrent neural networks. Int. J. Medical Informatics 129 (2019)
Sebastian Hofstätter, Navid Rekabsaz, Carsten Eickhoff, Allan Hanbury
On the Effect of Low-Frequency Terms on Neural-IR Models. SIGIR (2019)
Abdullah Ahmed, Gil Alon, Bashar Zaidat, Isaac Nathoo, Hwai-Liang Tung, Charles Wang, Carsten Eickhoff
Brown University at TREC Precision Medicine 2019. TREC (2019)
Sebastian Hofstätter, Navid Rekabsaz, Mihai Lupu, Carsten Eickhoff, Allan Hanbury
Enriching Word Embeddings for Patent Retrieval with Global Context. ECIR (1) (2019)
Xing Wei, Carsten Eickhoff
Embedding Electronic Health Records for Clinical Information Retrieval. CoRR (2018)
Xing Wei, Carsten Eickhoff
Distant Supervision in Clinical Information Retrieval. AMIA (2018)
Ferenc Galkó, Carsten Eickhoff
Biomedical Question Answering via Weighted Neural Network Passage Retrieval. CoRR (2018)
Ferenc Galkó, Carsten Eickhoff
Biomedical Question Answering via Weighted Neural Network Passage Retrieval. ECIR (2018)
Carsten Eickhoff
Cognitive Biases in Crowdsourcing. WSDM (2018)
Alba Garcia Seco de Herrera, Carsten Eickhoff, Vincent Andrearczyk, Henning Müller
Overview of the ImageCLEF 2018 Caption Prediction Tasks. CLEF (Working Notes) (2018)
Jing Yang, Carsten Eickhoff
Unsupervised Learning of Parsimonious General-Purpose Embeddings for User and Location Modeling. ACM Trans. Inf. Syst. 36 (3) (2018)
Thijs Vogels, Octavian-Eugen Ganea, Carsten Eickhoff
Web2Text: Deep Structured Boilerplate Removal. ECIR (2018)
Bogdan Ionescu, Henning Müller, Mauricio Villegas, Alba Garcia Seco de Herrera, Carsten Eickhoff, Vincent Andrearczyk, Yashin Dicente Cid, Vitali Liauchuk, Vassili Kovalev, Sadid A. Hasan, Yuan Ling, Oladimeji Farri, Joey Liu, Matthew P. Lungren, Duc-Tien Dang-Nguyen, Luca Piras, Michael Riegler, Liting Zhou, Mathias Lux, Cathal Gurrin
Overview of ImageCLEF 2018: Challenges, Datasets and Evaluation. CLEF (2018)
Prakrit Baruah, Riya Dulepet, Kyle Qian, Carsten Eickhoff
Brown University at TREC Precision Medicine 2018. TREC (2018)
Thijs Vogels, Octavian-Eugen Ganea, Carsten Eickhoff
Web2Text: Deep Structured Boilerplate Removal. CoRR (2018)
Jing Yang, Carsten Eickhoff
Unsupervised Spatio-Temporal Embeddings for User and Location Modelling. CoRR (2017)
Zsolt Mezei, Carsten Eickhoff
Evaluating Music Recommender Systems for Groups. CoRR (2017)
Rolf Jagerman, Carsten Eickhoff, Maarten de Rijke
Computing Web-scale Topic Models using an Asynchronous Parameter Server. SIGIR (2017)
Bogdan Ionescu, Henning Müller, Mauricio Villegas, Helbert Arenas, Giulia Boato, Duc-Tien Dang-Nguyen, Yashin Dicente Cid, Carsten Eickhoff, Alba Garcia Seco de Herrera, Cathal Gurrin, Md Bayzidul Islam, Vassili Kovalev, Vitali Liauchuk, Josiane Mothe, Luca Piras, Michael Riegler, Immanuel Schwall
Overview of ImageCLEF 2017: Information Extraction from Images. CLEF (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Carsten Eickhoff