Peter W. J. Staar

According to our database, Peter W. J. Staar authored at least 35 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Docling Technical Report.

Christoph Auer, Maksym Lysak, Ahmed S. Nassar, Michele Dolfi, Nikolaos Livathinos, Panos Vagenas, Cesar Berrospi Ramis, Matteo Omenetti, Fabian Lindlbauer, Kasper Dinkla, Lokesh Mishra, Yusik Kim, Shubham Gupta, Rafael Teixeira de Lima, Valéry Weber, Lucas Morin, Ingmar Meijer, Viktor Kuropiatnyk, Peter W. J. Staar

CoRR, 2024

Statements: Universal Information Extraction from Tables with Large Language Models for ESG KPIs.

Lokesh Mishra, Sohayl Dhibi, Yusik Kim, Cesar Berrospi Ramis, Shubham Gupta, Michele Dolfi, Peter W. J. Staar

CoRR, 2024

INDUS: Effective and Efficient Language Models for Scientific Applications.

Bishwaranjan Bhattacharjee, Aashka Trivedi, Masayasu Muraoka, Muthukumaran Ramasubramanian, Takuma Udagawa, Iksha Gurung, Rong Zhang, Bharath Dandala, Rahul Ramachandran, Manil Maskey, Kaylin M. Bugbee, Mike Little, Elizabeth Fancher, Lauren M. Sanders, Sylvain V. Costes, Sergi Blanco-Cuaresma, Kelly E. Lockhart, Thomas Allen, Félix Grèzes, Megan Ansdell, Alberto Accomazzi, Yousef El-Kurdi, Davis Wertheimer, Birgit Pfitzmann, Cesar Berrospi Ramis, Michele Dolfi, Rafael Teixeira de Lima, Panagiotis Vagenas, S. Karthik Mukkavilli, Peter W. J. Staar, Sanaz Vahidinia, Ryan McGranaghan, Armin Mehrabian, Tsendgar Lee

CoRR, 2024

KVP10k : A Comprehensive Dataset for Key-Value Pair Extraction in Business Documents.

Oshri Naparstek, Roi Pony, Inbar Shapira, Foad Abo Dahood, Ophir Azulai, Yevgeny Yaroker, Nadav Rubinstein, Maksym Lysak, Peter W. J. Staar, Ahmed Nassar, Nikolaos Livathinos, Christoph Auer, Elad Amrani, Idan Friedman, Orit Prince, Yevgeny Burshtein, Adi Raz Goldfarb, Udi Barzelay

CoRR, 2024

KVP10k : A Comprehensive Dataset for Key-Value Pair Extraction in Business Documents.

Oshri Naparstek, Ophir Azulai, Inbar Shapira, Elad Amrani, Yevgeny Yaroker, Yevgeny Burshtein, Roi Pony, Nadav Rubinstein, Foad Abo Dahood, Orit Prince, Idan Friedman, Christoph Auer, Nikolaos Livathinos, Maksym Lysak, Ahmed Nassar, Peter W. J. Staar, Udi Barzelay

Proceedings of the Document Analysis and Recognition - ICDAR 2024 - 18th International Conference, Athens, Greece, August 30, 2024

Clustering Items From Adaptively Collected Inconsistent Feedback.

Shubham Gupta, Peter W. J. Staar, Christian de Sainte Marie

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

ESG Accountability Made Easy: DocQA at Your Service.

Lokesh Mishra, Cesar Berrospi, Kasper Dinkla, Diego Antognini, Francesco Fusco, Benedikt Bothur, Maksym Lysak, Nikolaos Livathinos, Ahmed S. Nassar, Panagiotis Vagenas, Lucas Morin, Christoph Auer, Michele Dolfi, Peter W. J. Staar

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Skin Tone Analysis for Representation in Educational Materials (STAR-ED) using machine learning.

Girmaw Abebe Tadesse, Celia Cintas, Kush R. Varshney, Peter W. J. Staar, Chinyere Agunwa, Skyler Speakman, Justin Jia, Elizabeth E. Bailey, Ademide Adelekun, Jules Lipoff, Ginikanwa Onyekaba, Jenna C. Lester, Veronica Rotemberg, James Zou, Roxana Daneshjou

npj Digit. Medicine, 2023

Optimized Table Tokenization for Table Structure Recognition.

Maksym Lysak, Ahmed S. Nassar, Nikolaos Livathinos, Christoph Auer, Peter W. J. Staar

Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

ICDAR 2023 Competition on Robust Layout Segmentation in Corporate Documents.

Christoph Auer, Ahmed S. Nassar, Maksym Lysak, Michele Dolfi, Nikolaos Livathinos, Peter W. J. Staar

Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

MolGrapher: Graph-based Visual Recognition of Chemical Structures.

Lucas Morin, Martin Danelljan, Maria Isabel Agea, Ahmed S. Nassar, Valéry Weber, Ingmar Meijer, Peter W. J. Staar, Fisher Yu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

pNLP-Mixer: an Efficient all-MLP Architecture for Language.

Francesco Fusco, Damian Pascual, Peter W. J. Staar, Diego Antognini

Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

2022

FETA: Towards Specializing Foundation Models for Expert Task Applications.

Amit Alfassy, Assaf Arbelle, Oshri Halimi, Sivan Harary, Roei Herzig, Eli Schwartz, Rameswar Panda, Michele Dolfi, Christoph Auer, Kate Saenko, Peter W. J. Staar, Rogério Feris, Leonid Karlinsky

CoRR, 2022

BusiNet - a Light and Fast Text Detection Network for Business Documents.

Oshri Naparstek, Ophir Azulai, Daniel Rotman, Yevgeny Burshtein, Peter W. J. Staar, Udi Barzelay

CoRR, 2022

DocLayNet: A Large Human-Annotated Dataset for Document-Layout Analysis.

Birgit Pfitzmann, Christoph Auer, Michele Dolfi, Ahmed S. Nassar, Peter W. J. Staar

CoRR, 2022

pNLP-Mixer: an Efficient all-MLP Architecture for Language.

Francesco Fusco, Damian Pascual, Peter W. J. Staar

CoRR, 2022

FETA: Towards Specializing Foundational Models for Expert Task Applications.

Amit Alfassy, Assaf Arbelle, Oshri Halimi, Sivan Harary, Roei Herzig, Eli Schwartz, Rameswar Panda, Michele Dolfi, Christoph Auer, Peter W. J. Staar, Kate Saenko, Rogério Feris, Leonid Karlinsky

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

DocLayNet: A Large Human-Annotated Dataset for Document-Layout Segmentation.

Birgit Pfitzmann, Christoph Auer, Michele Dolfi, Ahmed S. Nassar, Peter W. J. Staar

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Unsupervised Term Extraction for Highly Technical Domains.

Francesco Fusco, Peter W. J. Staar, Diego Antognini

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022

TableFormer: Table Structure Understanding with Transformers.

Ahmed S. Nassar, Nikolaos Livathinos, Maksym Lysak, Peter W. J. Staar

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Unsupervised Domain Generalization by Learning a Bridge Across Domains.

Sivan Harary, Eli Schwartz, Assaf Arbelle, Peter W. J. Staar, Shady Abu-Hussein, Elad Amrani, Roei Herzig, Amit Alfassy, Raja Giryes, Hilde Kuehne, Dina Katabi, Kate Saenko, Rogério Feris, Leonid Karlinsky

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Delivering Document Conversion as a Cloud Service with High Throughput and Responsiveness.

Christoph Auer, Michele Dolfi, André Carvalho, Cesar Berrospi Ramis, Peter W. J. Staar

Proceedings of the IEEE 15th International Conference on Cloud Computing, 2022

2021

Racial Representation Analysis in Dermatology Academic Materials.

Girmaw Abebe Tadesse, Celia Cintas, Roxana Daneshjou, Kush R. Varshney, Peter W. J. Staar, Skyler Speakman, Kenya Andrews, Chinyere Agunwa, Justin Jia, Elizabeth E. Bailey, Jules Lipoff, Ginikanwa Onyekaba, Veronica Rotemberg, Ademide Adelekun, James Y. Zou

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

Robust PDF Document Conversion using Recurrent Neural Networks.

Nikolaos Livathinos, Cesar Berrospi, Maksym Lysak, Viktor Kuropiatnyk, Ahmed S. Nassar, André Carvalho, Michele Dolfi, Christoph Auer, Kasper Dinkla, Peter W. J. Staar

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

DCA++: A software framework to solve correlated electron problems with modern quantum cluster methods.

Urs R. Hähner, Gonzalo Alvarez, Thomas A. Maier, Raffaele Solcà, Peter W. J. Staar, Michael S. Summers, Thomas C. Schulthess

Comput. Phys. Commun., 2020

2019

An Information Extraction and Knowledge Graph Platform for Accelerating Biochemical Discoveries.

Matteo Manica, Christoph Auer, Valéry Weber, Federico Zipoli, Michele Dolfi, Peter W. J. Staar, Teodoro Laino, Costas Bekas, Akihiro Fujita, Hiroki Toda, Shuichi Hirose, Yasumitsu Orii

CoRR, 2019

2018

Corpus Conversion Service: A Machine Learning Platform to Ingest Documents at Scale.

Michele Dolfi, Christoph Auer, Peter W. J. Staar, Costas Bekas

ERCIM News, 2018

Corpus Conversion Service: A machine learning platform to ingest documents at scale [Poster abstract].

Peter W. J. Staar, Michele Dolfi, Christoph Auer, Costas Bekas

CoRR, 2018

2017

Exploring Graph Analytics with the PCJ Toolbox.

Roxana Istrate, Panagiotis Kl. Barkoutsos, Michele Dolfi, Peter W. J. Staar, Costas Bekas

Proceedings of the Parallel Processing and Applied Mathematics, 2017

2016

NanoStreams: Codesigned microservers for edge analytics in real time.

Giorgis Georgakoudis, Charles Gillan, Ahmad Hassan, Umar Ibrahim Minhas, Ivor T. A. Spence, George Tzenakis, Hans Vandierendonck, Roger F. Woods, Dimitrios S. Nikolopoulos, Murali Shyamsundar, Paul Barber, Matthew Russell, Angelos Bilas, Stelios Kaloutsakis, Heiner Giefers, Peter W. J. Staar, Costas Bekas, Neil Horlock, Richard Faloon, Colin Pattison

Proceedings of the International Conference on Embedded Computer Systems: Architectures, 2016

Analyzing the energy-efficiency of sparse matrix multiplication on heterogeneous systems: A comparative study of GPU, Xeon Phi and FPGA.

Heiner Giefers, Peter W. J. Staar, Costas Bekas, Christoph Hagleitner

Proceedings of the 2016 IEEE International Symposium on Performance Analysis of Systems and Software, 2016

Stochastic Matrix-Function Estimators: Scalable Big-Data Kernels with High Performance.

Peter W. J. Staar, Panagiotis Kl. Barkoutsos, Roxana Istrate, A. Cristiano I. Malossi, Ivano Tavernelli, Nikolaj Moll, Heiner Giefers, Christoph Hagleitner, Costas Bekas, Alessandro Curioni

Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium, 2016

Energy-efficient stochastic matrix function estimator for graph analytics on FPGA.

Heiner Giefers, Peter W. J. Staar, Raphael Polig

Proceedings of the 26th International Conference on Field Programmable Logic and Applications, 2016

2015

An extreme-scale implicit solver for complex PDEs: highly heterogeneous flow in earth's mantle.

Johann Rudi, A. Cristiano I. Malossi, Tobin Isaac, Georg Stadler, Michael Gurnis, Peter W. J. Staar, Yves Ineichen, Costas Bekas, Alessandro Curioni, Omar Ghattas

Proceedings of the International Conference for High Performance Computing, 2015

2013

Taking a quantum leap in time to solution for simulations of high-Tc superconductors.

Peter W. J. Staar, Thomas A. Maier, Michael S. Summers, Gilles Fourestey, Raffaele Solcà, Thomas C. Schulthess

Proceedings of the International Conference for High Performance Computing, 2013