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2020 – today
- 2025
[i24]Nikolaos Livathinos, Christoph Auer, Maksym Lysak, Ahmed Nassar, Michele Dolfi, Panos Vagenas, Cesar Berrospi Ramis, Matteo Omenetti, Kasper Dinkla, Yusik Kim, Shubham Gupta, Rafael Teixeira de Lima, Valéry Weber, Lucas Morin, Ingmar Meijer, Viktor Kuropiatnyk, Peter W. J. Staar:
Docling: An Efficient Open-Source Toolkit for AI-driven Document Conversion. CoRR abs/2501.17887 (2025)- [i23]Leonid Karlinsky, Assaf Arbelle, Abraham Daniels, Ahmed Nassar, Amit Alfassi, Bo Wu, Eli Schwartz, Dhiraj Joshi, Jovana Kondic, Nimrod Shabtay, Pengyuan Li, Roei Herzig, Shafiq Abedin, Shaked Perek, Sivan Harary, Udi Barzelay, Adi Raz Goldfarb, Aude Oliva, Ben Wieles, Bishwaranjan Bhattacharjee, Brandon Huang, Christoph Auer, Dan Gutfreund, David Beymer, David Wood, Hilde Kuehne, Jacob A. Hansen, Joseph Shtok, Ken Wong, Luis Angel D. Bathen, Mayank Mishra, Maksym Lysak, Michele Dolfi, Mikhail Yurochkin, Nikolaos Livathinos, Nimrod Harel, Ophir Azulai, Oshri Naparstek, Rafael Teixeira de Lima, Rameswar Panda, Sivan Doveh, Shubham Gupta, Subhro Das, Syed Zawad, Yusik Kim, Zexue He, Alexander Brooks, Gabe Goodhart, Anita Govindjee, Derek Leist, Ibrahim Ibrahim, Aya Soffer, David D. Cox, Kate Soule, Luis A. Lastras, Nirmit Desai, Shila Ofek-Koifman, Sriram Raghavan, Tanveer F. Syeda-Mahmood, Peter W. J. Staar, Tal Drory, Rogério Feris:
Granite Vision: a lightweight, open-source multimodal model for enterprise Intelligence. CoRR abs/2502.09927 (2025) - 2024
- [c24]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: 23814-23816 - [c23]Shubham Gupta, Peter W. J. Staar, Christian de Sainte Marie:
Clustering Items From Adaptively Collected Inconsistent Feedback. AISTATS 2024: 604-612 - [c22]Bishwaranjan Bhattacharjee, Aashka Trivedi, Masayasu Muraoka, Muthukumaran Ramasubramanian, Takuma Udagawa, Iksha Gurung, Nishan Pantha, Rong Zhang, Bharath Dandala, Rahul Ramachandran, Manil Maskey, Kaylin M. Bugbee, Michael Little, Elizabeth Fancher, Irina Gerasimov, Armin Mehrabian, Lauren M. Sanders, Sylvain 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, Tsengdar J. Lee:
INDUS: Effective and Efficient Language Models for Scientific Applications. EMNLP (Industry Track) 2024: 98-112 - [c21]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:
KVP10k : A Comprehensive Dataset for Key-Value Pair Extraction in Business Documents. ICDAR (1) 2024: 97-116 - [i22]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 abs/2405.00505 (2024) - [i21]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, Tsengdar J. Lee:
INDUS: Effective and Efficient Language Models for Scientific Applications. CoRR abs/2405.10725 (2024) - [i20]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 abs/2406.19102 (2024) - [i19]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:
Docling Technical Report. CoRR abs/2408.09869 (2024) - [i18]Rafael Teixeira de Lima, Shubham Gupta, Cesar Berrospi, Lokesh Mishra, Michele Dolfi, Peter W. J. Staar, Panagiotis Vagenas:
Know Your RAG: Dataset Taxonomy and Generation Strategies for Evaluating RAG Systems. CoRR abs/2411.19710 (2024) - 2023
- [j2]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) - [c20]Francesco Fusco, Damian Pascual, Peter W. J. Staar, Diego Antognini:
pNLP-Mixer: an Efficient all-MLP Architecture for Language. ACL (industry) 2023: 53-60 - [c19]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: 19495-19504 - [c18]Maksym Lysak, Ahmed S. Nassar, Nikolaos Livathinos, Christoph Auer, Peter W. J. Staar:
Optimized Table Tokenization for Table Structure Recognition. ICDAR (2) 2023: 37-50 - [c17]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: 471-482 - [i17]Maksym Lysak, Ahmed S. Nassar, Nikolaos Livathinos, Christoph Auer, Peter W. J. Staar:
Optimized Table Tokenization for Table Structure Recognition. CoRR abs/2305.03393 (2023) - [i16]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 abs/2305.14962 (2023) - [i15]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 abs/2308.12234 (2023) - [i14]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 abs/2311.18481 (2023) - 2022
- [c16]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: 363-373 - [c15]Ahmed S. Nassar, Nikolaos Livathinos, Maksym Lysak, Peter W. J. Staar:
TableFormer: Table Structure Understanding with Transformers. CVPR 2022: 4604-4613 - [c14]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: 5270-5280 - [c13]Francesco Fusco, Peter W. J. Staar, Diego Antognini:
Unsupervised Term Extraction for Highly Technical Domains. EMNLP (Industry Track) 2022: 1-8 - [c12]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: 3743-3751 - [c11]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 - [i13]Francesco Fusco, Damian Pascual, Peter W. J. Staar:
pNLP-Mixer: an Efficient all-MLP Architecture for Language. CoRR abs/2202.04350 (2022) - [i12]Ahmed S. Nassar, Nikolaos Livathinos, Maksym Lysak, Peter W. J. Staar:
TableFormer: Table Structure Understanding with Transformers. CoRR abs/2203.01017 (2022) - [i11]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 abs/2206.00785 (2022) - [i10]Birgit Pfitzmann, Christoph Auer, Michele Dolfi, Ahmed S. Nassar, Peter W. J. Staar:
DocLayNet: A Large Human-Annotated Dataset for Document-Layout Analysis. CoRR abs/2206.01062 (2022) - [i9]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 abs/2207.01220 (2022) - [i8]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 abs/2209.03648 (2022) - [i7]Francesco Fusco, Peter W. J. Staar, Diego Antognini:
Unsupervised Term Extraction for Highly Technical Domains. CoRR abs/2210.13118 (2022) - 2021
- [c10]Nikolaos Livathinos, Cesar Berrospi, Maksym Lysak, Viktor Kuropiatnyk, Ahmed S. Nassar, André Carvalho, Michele Dolfi, Christoph Auer, Kasper Dinkla, Peter W. J. Staar:
Robust PDF Document Conversion using Recurrent Neural Networks. AAAI 2021: 15137-15145 - [c9]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:
Racial Representation Analysis in Dermatology Academic Materials. AMIA 2021 - [i6]Nikolaos Livathinos, Cesar Berrospi, Maksym Lysak, Viktor Kuropiatnyk, Ahmed S. Nassar, André Carvalho, Michele Dolfi, Christoph Auer, Kasper Dinkla, Peter W. J. Staar:
Robust PDF Document Conversion Using Recurrent Neural Networks. CoRR abs/2102.09395 (2021) - [i5]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. CoRR abs/2112.02300 (2021) - 2020
- [j1]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)
2010 – 2019
- 2019
- [i4]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 abs/1907.08400 (2019) - 2018
- [c8]Peter W. J. Staar, Michele Dolfi, Christoph Auer, Costas Bekas:
Corpus Conversion Service: A Machine Learning Platform to Ingest Documents at Scale. KDD 2018: 774-782 - [i3]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 abs/1805.09687 (2018) - [i2]Peter W. J. Staar, Michele Dolfi, Christoph Auer, Costas Bekas:
Corpus Conversion Service: A Machine Learning Platform to Ingest Documents at Scale. CoRR abs/1806.02284 (2018) - [i1]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) - 2017
- [c7]Roxana Istrate, Panagiotis Kl. Barkoutsos, Michele Dolfi, Peter W. J. Staar, Costas Bekas:
Exploring Graph Analytics with the PCJ Toolbox. PPAM (2) 2017: 308-317 - 2016
- [c6]Heiner Giefers, Peter W. J. Staar, Raphael Polig:
Energy-efficient stochastic matrix function estimator for graph analytics on FPGA. FPL 2016: 1-9 - [c5]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: 812-821 - [c4]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: 46-56 - [c3]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: 180-187 - 2015
- [c2]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: 5:1-5:12 - 2013
- [c1]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: 1:1-1:11
Coauthor Index
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