Peter W. J. Staar

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 40

Top Topics

Learning Platform

Top Venues

Publications

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
ESG Accountability Made Easy: DocQA at Your Service. AAAI (2024)
Shubham Gupta, Peter W. J. Staar, Christian de Sainte Marie
Clustering Items From Adaptively Collected Inconsistent Feedback. AISTATS (2024)
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
KVP10k : A Comprehensive Dataset for Key-Value Pair Extraction in Business Documents. CoRR (2024)
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
INDUS: Effective and Efficient Language Models for Scientific Applications. CoRR (2024)
Lokesh Mishra, Sohayl Dhibi, Yusik Kim, Cesar Berrospi Ramis, Shubham Gupta, Michele Dolfi, Peter W. J. Staar
Statements: Universal Information Extraction from Tables with Large Language Models for ESG KPIs. CoRR (2024)
Francesco Fusco, Damian Pascual, Peter W. J. Staar, Diego Antognini
pNLP-Mixer: an Efficient all-MLP Architecture for Language. ACL (industry) (2023)
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
ESG Accountability Made Easy: DocQA at Your Service. CoRR (2023)
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
Skin Tone Analysis for Representation in Educational Materials (STAR-ED) using machine learning. npj Digit. Medicine 6 (2023)
Christoph Auer, Ahmed S. Nassar, Maksym Lysak, Michele Dolfi, Nikolaos Livathinos, Peter W. J. Staar
ICDAR 2023 Competition on Robust Layout Segmentation in Corporate Documents. ICDAR (2) (2023)
Maksym Lysak, Ahmed S. Nassar, Nikolaos Livathinos, Christoph Auer, Peter W. J. Staar
Optimized Table Tokenization for Table Structure Recognition. CoRR (2023)
Lucas Morin, Martin Danelljan, Maria Isabel Agea, Ahmed S. Nassar, Valéry Weber, Ingmar Meijer, Peter W. J. Staar, Fisher Yu
MolGrapher: Graph-based Visual Recognition of Chemical Structures. ICCV (2023)
Christoph Auer, Ahmed S. Nassar, Maksym Lysak, Michele Dolfi, Nikolaos Livathinos, Peter W. J. Staar
ICDAR 2023 Competition on Robust Layout Segmentation in Corporate Documents. CoRR (2023)
Lucas Morin, Martin Danelljan, Maria Isabel Agea, Ahmed S. Nassar, Valéry Weber, Ingmar Meijer, Peter W. J. Staar, Fisher Yu
MolGrapher: Graph-based Visual Recognition of Chemical Structures. CoRR (2023)
Maksym Lysak, Ahmed S. Nassar, Nikolaos Livathinos, Christoph Auer, Peter W. J. Staar
Optimized Table Tokenization for Table Structure Recognition. ICDAR (2) (2023)
Oshri Naparstek, Ophir Azulai, Daniel Rotman, Yevgeny Burshtein, Peter W. J. Staar, Udi Barzelay
BusiNet - a Light and Fast Text Detection Network for Business Documents. CoRR (2022)
Francesco Fusco, Peter W. J. Staar, Diego Antognini
Unsupervised Term Extraction for Highly Technical Domains. CoRR (2022)
Christoph Auer, Michele Dolfi, André Carvalho, Cesar Berrospi Ramis, Peter W. J. Staar
Delivering Document Conversion as a Cloud Service with High Throughput and Responsiveness. CLOUD (2022)
Ahmed Nassar, Nikolaos Livathinos, Maksym Lysak, Peter W. J. Staar
TableFormer: Table Structure Understanding with Transformers. CoRR (2022)
Ahmed S. Nassar, Nikolaos Livathinos, Maksym Lysak, Peter W. J. Staar
TableFormer: Table Structure Understanding with Transformers. CVPR (2022)
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
FETA: Towards Specializing Foundational Models for Expert Task Applications. NeurIPS (2022)
Francesco Fusco, Peter W. J. Staar, Diego Antognini
Unsupervised Term Extraction for Highly Technical Domains. EMNLP (Industry Track) (2022)
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
FETA: Towards Specializing Foundation Models for Expert Task Applications. CoRR (2022)
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
Unsupervised Domain Generalization by Learning a Bridge Across Domains. CVPR (2022)
Birgit Pfitzmann, Christoph Auer, Michele Dolfi, Ahmed S. Nassar, Peter W. J. Staar
DocLayNet: A Large Human-Annotated Dataset for Document-Layout Analysis. CoRR (2022)
Christoph Auer, Michele Dolfi, André Carvalho, Cesar Berrospi Ramis, Peter W. J. Staar
Delivering Document Conversion as a Cloud Service with High Throughput and Responsiveness. CoRR (2022)
Birgit Pfitzmann, Christoph Auer, Michele Dolfi, Ahmed S. Nassar, Peter W. J. Staar
DocLayNet: A Large Human-Annotated Dataset for Document-Layout Segmentation. KDD (2022)
Nikolaos Livathinos, Cesar Berrospi, Maksym Lysak, Viktor Kuropiatnyk, Ahmed Nassar, Andre Carvalho, Michele Dolfi, Christoph Auer, Kasper Dinkla, Peter W. J. Staar
Robust PDF Document Conversion using Recurrent Neural Networks. AAAI (2021)
Nikolaos Livathinos, Cesar Berrospi, Maksym Lysak, Viktor Kuropiatnyk, Ahmed Nassar, Andre Carvalho, Michele Dolfi, Christoph Auer, Kasper Dinkla, Peter W. J. Staar
Robust PDF Document Conversion Using Recurrent Neural Networks. CoRR (2021)
Urs R. Hähner, Gonzalo Alvarez, Thomas A. Maier, Raffaele Solcà, Peter W. J. Staar, Michael S. Summers, Thomas C. Schulthess
DCA++: A software framework to solve correlated electron problems with modern quantum cluster methods. Comput. Phys. Commun. 246 (2020)
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
An Information Extraction and Knowledge Graph Platform for Accelerating Biochemical Discoveries. CoRR (2019)
Peter W. J. Staar, Michele Dolfi, Christoph Auer, Costas Bekas
Corpus Conversion Service: A Machine Learning Platform to Ingest Documents at Scale. KDD (2018)
Peter W. J. Staar, Michele Dolfi, Christoph Auer, Costas Bekas
Corpus Conversion Service: A Machine Learning Platform to Ingest Documents at Scale. CoRR (2018)
Michele Dolfi, Christoph Auer, Peter W. J. Staar, Costas Bekas
Corpus Conversion Service: A Machine Learning Platform to Ingest Documents at Scale. ERCIM News 2018 (114) (2018)
Peter W. J. Staar, Michele Dolfi, Christoph Auer, Costas Bekas
Corpus Conversion Service: A machine learning platform to ingest documents at scale [Poster abstract]. CoRR (2018)
Roxana Istrate, Panagiotis Kl. Barkoutsos, Michele Dolfi, Peter W. J. Staar, Costas Bekas
Exploring Graph Analytics with the PCJ Toolbox. PPAM (2) (2017)
Heiner Giefers, Peter W. J. Staar, Costas Bekas, Christoph Hagleitner
Analyzing the energy-efficiency of sparse matrix multiplication on heterogeneous systems: A comparative study of GPU, Xeon Phi and FPGA. ISPASS (2016)
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
Stochastic Matrix-Function Estimators: Scalable Big-Data Kernels with High Performance. IPDPS (2016)
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
NanoStreams: Codesigned microservers for edge analytics in real time. SAMOS (2016)
Heiner Giefers, Peter W. J. Staar, Raphael Polig
Energy-efficient stochastic matrix function estimator for graph analytics on FPGA. FPL (2016)
Johann Rudi, A. Cristiano I. Malossi, Tobin Isaac, Georg Stadler, Michael Gurnis, Peter W. J. Staar, Yves Ineichen, Costas Bekas, Alessandro Curioni, Omar Ghattas
An extreme-scale implicit solver for complex PDEs: highly heterogeneous flow in earth's mantle. SC (2015)
Peter W. J. Staar, Thomas A. Maier, Michael S. Summers, Gilles Fourestey, Raffaele Solcà, Thomas C. Schulthess
Taking a quantum leap in time to solution for simulations of high-Tc superconductors. SC (2013)