Searching in an XML Corpus Using Content and Structure. - Yiftah Ben-Aharon; Sara Cohen; Yael Grumbach; Yaron Kanza; Jonathan Mamou; Yehoshua Sagiv; Benjamin Sznajder; Efrat Twito (INEX, 2003)

XSEarch: A Semantic Search Engine for XML. - Sara Cohen; Jonathan Mamou; Yaron Kanza; Yehoshua Sagiv (VLDB, 2003)

Ultrasonic Characterization of Three Animal Mammary Tumors From Three-Dimensional Acoustic Tissue Models - Jonathan Mamou (2005)

Coded Excitation and Annular Arrays for High-Frequency Ultrasound Imaging. - Jonathan Mamou; Jeffrey A. Ketterling (EMBC, 2006)

Spoken document retrieval from call-center conversations. - Jonathan Mamou; David Carmel; Ron Hoory (SIGIR, 2006)

Perspective on biomedical quantitative ultrasound imaging. - Jonathan Mamou; Michael L. Oelze; William D. O'Brien Jr.; James F. Zachary (IEEE Signal Process. Mag., 2006)

Vocabulary independent spoken term detection. - Jonathan Mamou; Bhuvana Ramabhadran; Olivier Siohan (SIGIR, 2007)

Audio-Visual Content Analysis in P2P Networks: The SAPIR Approach. - Walter Allasia; Fabrizio Falchi; Francesco Gallo; Mouna Kacimi; Aaron Kaplan; Jonathan Mamou; Yosi Mass; Nicola Orio (DEXA Workshops, 2008)

Phonetic query expansion for spoken document retrieval. - Jonathan Mamou; Bhuvana Ramabhadran (INTERSPEECH, 2008)

Fast decoding for open vocabulary spoken term detection. - Bhuvana Ramabhadran; Abhinav Sethy; Jonathan Mamou; Brian Kingsbury; Upendra V. Chaudhari (HLT-NAACL (Short Papers), 2009)

A unified inverted index for an efficient image and text retrieval. - Jonathan Mamou; Yosi Mass; Michal Shmueli-Scheuer; Benjamin Sznajder (SIGIR, 2009)

Speech processing and retrieval in a personal memory aid system for the elderly. - Alexander Sorin; Hagai Aronowitz; Jonathan Mamou; Orith Toledo-Ronen; Ron Hoory; Michael Kuritzky; Yael Erez; Bhuvana Ramabhadran; Abhinav Sethy (ICASSP, 2011)

Improved Spoken Query Transcription Using Co-Occurrence Information. - Jonathan Mamou; Abhinav Sethy; Bhuvana Ramabhadran; Ron Hoory; Paul Vozila (INTERSPEECH, 2011)

Three-dimensional quantitative ultrasound to guide pathologists towards metastatic foci in lymph nodes. - Jonathan Mamou; Emi Saegusa-Beecroft; Alain Coron; Michael L. Oelze; Tadashi Yamaguchi; Junji Machi; Masaki Hata; Eugene Yanagihara; Pascal Laugier; Ernest J. Feleppa (EMBC, 2012)

A quantitative ultrasound-based method and device for reliably guiding pathologists to metastatic regions of dissected lymph nodes. - Alain Coron; Jonathan Mamou; Emi Saegusa-Beecroft; Michael L. Oelze; Tadashi Yamaguchi; Masaki Hata; Junji Machi; Eugene Yanagihara; Pascal Laugier; Ernest J. Feleppa (ISBI, 2012)

An empirical study of confusion modeling in keyword search for low resource languages. - Murat Saraclar; Abhinav Sethy; Bhuvana Ramabhadran; Lidia Mangu; Jia Cui; Xiaodong Cui; Brian Kingsbury; Jonathan Mamou (ASRU, 2013)

Developing speech recognition systems for corpus indexing under the IARPA Babel program. - Jia Cui; Xiaodong Cui; Bhuvana Ramabhadran; Janice Kim; Brian Kingsbury; Jonathan Mamou; Lidia Mangu; Michael Picheny; Tara N. Sainath; Abhinav Sethy (ICASSP, 2013)

A high-performance Cantonese keyword search system. - Brian Kingsbury; Jia Cui; Xiaodong Cui; Mark J. F. Gales; Kate M. Knill; Jonathan Mamou; Lidia Mangu; David Nolden; Michael Picheny; Bhuvana Ramabhadran; Ralf Schlüter; Abhinav Sethy; et al. (ICASSP, 2013)

System combination and score normalization for spoken term detection. - Jonathan Mamou; Jia Cui; Xiaodong Cui; Mark J. F. Gales; Brian Kingsbury; Kate M. Knill; Lidia Mangu; David Nolden; Michael Picheny; Bhuvana Ramabhadran; Ralf Schlüter; Abhinav Sethy; et al. (ICASSP, 2013)

Automatic keyword selection for keyword search development and tuning. - Jia Cui; Jonathan Mamou; Brian Kingsbury; Bhuvana Ramabhadran (ICASSP, 2014)

Meeting assistant application. - Michel Assayag; Jonathan Huang; Jonathan Mamou; Oren Pereg; Saurav Sahay; Oren Shamir; Georg Stemmer; Moshe Wasserblat (INTERSPEECH, 2015)

Level-set segmentation of 2D and 3D ultrasound data using local gamma distribution fitting energy. - Thanh Minh Bui; Alain Coron; Jonathan Mamou; Emi Saegusa-Beecroft; Junji Machi; Alexandre Dizeux; S. Lori Bridal; Ernest J. Feleppa (ISBI, 2015)

A novel nested graph cuts method for segmenting human lymph nodes in 3D high frequency ultrasound images. - Jen-Wei Kuo; Jonathan Mamou; Yao Wang 001; Emi Saegusa-Beecroft; Junji Machi; Ernest J. Feleppa (ISBI, 2015)

Nested Graph Cut for Automatic Segmentation of High-Frequency Ultrasound Images of the Mouse Embryo. - Jen-Wei Kuo; Jonathan Mamou; Orlando Aristizábal; Xuan Zhao; Jeffrey A. Ketterling; Yao Wang 001 (IEEE Trans. Medical Imaging, 2016)

Image formation methods in quantitative acoustic microscopy. - Jonathan Mamou; Daniel Rohrbach (ICASSP, 2017)

Enhancement of 250-MHz quantitative acoustic-microscopy data using a single-image super-resolution method. - Adrian Basarab; Daniel Rohrbach; Ningning Zhao; Jean-Yves Tourneret; Denis Kouame; Jonathan Mamou (ISBI, 2017)

Segmentation of 3D High-frequency Ultrasound Images of Human Lymph Nodes Using Graph Cut with Energy Functional Adapted to Local Intensity Distribution. - Jen-Wei Kuo; Jonathan Mamou; Yao Wang 001; Emi Saegusa-Beecroft; Junji Machi; Ernest J. Feleppa (CoRR, 2017)

Local Transverse-Slice-Based Level-Set Method for Segmentation of 3-D High-Frequency Ultrasonic Backscatter From Dissected Human Lymph Nodes. - Thanh Minh Bui; Alain Coron; Jonathan Mamou; Emi Saegusa-Beecroft; Tadashi Yamaguchi; Eugene Yanagihara; Junji Machi; S. Lori Bridal; Ernest J. Feleppa (IEEE Trans. Biomed. Eng., 2017)

A Novel Quantitative 500-MHz Acoustic Microscopy System for Ophthalmologic Tissues. - Daniel Rohrbach; Anette Jakob; Harriet O. Lloyd; Steffen H. Tretbar; Ronald H. Silverman; Jonathan Mamou (IEEE Trans. Biomed. Eng., 2017)

SetExpander: End-to-end Term Set Expansion Based on Multi-Context Term Embeddings. - Jonathan Mamou; Oren Pereg; Moshe Wasserblat; Ido Dagan; Yoav Goldberg; Alon Eirew; Yael Green; Shira Guskin; Peter Izsak; Daniel Korat (COLING (Demos), 2018)

Scanning Acoustic Microscopy Image Super-Resolution using Bilateral Weighted Total Variation Regularization. - Amirhossein Khalilian-Gourtani; Yao Wang 001; Jonathan Mamou (EMBC, 2018)

Term Set Expansion based NLP Architect by Intel AI Lab. - Jonathan Mamou; Oren Pereg; Moshe Wasserblat; Alon Eirew; Yael Green; Shira Guskin; Peter Izsak; Daniel Korat (EMNLP (Demonstration), 2018)

Automatic body localization and brain ventricle segmentation in 3D high frequency ultrasound images of mouse embryos. - Jen-Wei Kuo; Ziming Qiu; Orlando Aristizábal; Jonathan Mamou; Daniel H. Turnbull; Jeffrey A. Ketterling; Yao Wang 001 (ISBI, 2018)

Term Set Expansion based on Multi-Context Term Embeddings: an End-to-end Workflow. - Jonathan Mamou; Oren Pereg; Moshe Wasserblat; Ido Dagan; Yoav Goldberg; Alon Eirew; Yael Green; Shira Guskin; Peter Izsak; Daniel Korat (CoRR, 2018)

Deep BV: A Fully Automated System for Brain Ventricle Localization and Segmentation in 3D Ultrasound Images of Embryonic Mice. - Ziming Qiu; Jack Langerman; Nitin Nair; Orlando Aristizábal; Jonathan Mamou; Daniel H. Turnbull; Jeffrey A. Ketterling; Yao Wang 001 (CoRR, 2018)

A Convolutional Neural Network for 250-MHz Quantitative Acoustic-microscopy Resolution Enhancement. - Jonathan Mamou; Thomas Pellegrini; Denis Kouamé; Adrian Basarab (EMBC, 2019)

ABSApp: A Portable Weakly-Supervised Aspect-Based Sentiment Extraction System. - Oren Pereg; Daniel Korat; Moshe Wasserblat; Jonathan Mamou; Ido Dagan (EMNLP/IJCNLP (3), 2019)

Multi-Context Term Embeddings: the Use Case of Corpus-based Term Set Expansion. - Jonathan Mamou; Oren Pereg; Moshe Wasserblat; Ido Dagan (CoRR, 2019)

Automatic Mouse Embryo Brain Ventricle & Body Segmentation and Mutant Classification From Ultrasound Data Using Deep Learning. - Ziming Qiu; Nitin Nair; Jack Langerman; Orlando Aristizábal; Jonathan Mamou; Daniel H. Turnbull; Jeffrey A. Ketterling; Yao Wang 001 (CoRR, 2019)

Deep Mouse: An End-to-end Auto-context Refinement Framework for Brain Ventricle and Body Segmentation in Embryonic Mice Ultrasound Volumes. - Tongda Xu; Ziming Qiu; William Das; Chuiyu Wang; Jack Langerman; Nitin Nair; Orlando Aristizábal; Jonathan Mamou; Daniel H. Turnbull; Jeffrey A. Ketterling; Yao Wang 001 (CoRR, 2019)

Crowdsourcing a High-Quality Gold Standard for QA-SRL. - Paul Roit; Ayal Klein; Daniela Stepanov; Jonathan Mamou; Julian Michael; Gabriel Stanovsky; Luke Zettlemoyer; Ido Dagan (CoRR, 2019)

Controlled Crowdsourcing for High-Quality QA-SRL Annotation. - Paul Roit; Ayal Klein; Daniela Stepanov; Jonathan Mamou; Julian Michael; Gabriel Stanovsky; Luke Zettlemoyer; Ido Dagan (ACL, 2020)

QANom: Question-Answer driven SRL for Nominalizations. - Ayal Klein; Jonathan Mamou; Valentina Pyatkin; Daniela Stepanov; Hangfeng He 001; Dan Roth 001; Luke Zettlemoyer; Ido Dagan (COLING, 2020)

Emergence of Separable Manifolds in Deep Language Representations. - Jonathan Mamou; Hang Le 002; Miguel Del Rio; Cory Stephenson; Hanlin Tang; Yoon Kim; SueYeon Chung (ICML, 2020)

Deep Mouse: An End-to-End Auto-Context Refinement Framework for Brain Ventricle & Body Segmentation in Embryonic Mice Ultrasound Volumes. - Tongda Xu; Ziming Qiu; William Das; Chuiyu Wang; Jack Langerman; Nitin Nair; Orlando Aristizábal; Jonathan Mamou; Daniel H. Turnbull; Jeffrey A. Ketterling; Yao Wang 001 (ISBI, 2020)

Autoregressive Model-Based Reconstruction of Quantitative Acoustic Maps From RF Signals Sampled at Innovation Rate. - Jong-Hoon Kim; Jonathan Mamou; Denis Kouamé; Alin Achim; Adrian Basarab (IEEE Trans. Computational Imaging, 2020)

Syntactic Perturbations Reveal Representational Correlates of Hierarchical Phrase Structure in Pretrained Language Models. - Matteo Alleman; Jonathan Mamou; Miguel A. Del Rio; Hanlin Tang; Yoon Kim; SueYeon Chung (RepL4NLP@ACL-IJCNLP, 2021)

Ultrasound Mouse Embryo Segmentation and Classification. - Ziming Qiu; Tongda Xu; Jack Langerman; William Das; Chuiyu Wang; Nitin Nair; Orlando Aristizábal; Jonathan Mamou; Daniel H. Turnbull; Jeffrey A. Ketterling; Yao Wang 001 (IEEE DataPort, 2021)

TangoBERT: Reducing Inference Cost by using Cascaded Architecture. - Jonathan Mamou; Oren Pereg; Moshe Wasserblat; Roy Schwartz 001 (CoRR, 2022)

Finding the SWEET Spot: Analysis and Improvement of Adaptive Inference in Low Resource Settings. - Daniel Rotem; Michael Hassid; Jonathan Mamou; Roy Schwartz 001 (ACL (1), 2023)

Dynamic Speculation Lookahead Accelerates Speculative Decoding of Large Language Models. - Jonathan Mamou; Oren Pereg; Daniel Korat; Moshe Berchansky; Nadav Timor; Moshe Wasserblat; Roy Schwartz 001 (ENLSP, 2024)

Distributed Speculative Inference of Large Language Models is Provably Faster. - Nadav Timor; Jonathan Mamou; Oren Pereg; Moshe Berchansky; Daniel Korat; Moshe Wasserblat; Tomer Galanti; Michal Gordon; David Harel (ENLSP, 2024)

A Quantum Denoising-Based Red Framework for 250-Mhz & 500-Mhz Quantitative Acoustic-Microscopy Resolution Enhancement. - Sayantan Dutta; Jonathan Mamou (ISBI, 2024)

Hankel-Based Spectral Method for Quantitative Acoustic Microscopy. - Lorena Leon; Jonathan Mamou; Denis Kouamé; Adrian Basarab (ISBI, 2024)

Accelerating Speculative Decoding using Dynamic Speculation Length. - Jonathan Mamou; Oren Pereg; Daniel Korat; Moshe Berchansky; Nadav Timor; Moshe Wasserblat; Roy Schwartz 001 (CoRR, 2024)

Distributed Speculative Inference of Large Language Models. - Nadav Timor; Jonathan Mamou; Daniel Korat; Moshe Berchansky; Oren Pereg; Moshe Wasserblat; Tomer Galanti; Michal Gordon; David Harel (CoRR, 2024)

A Quantum Denoising-Based Resolution Enhancement Framework for 250-MHz and 500-MHz Quantitative Acoustic Microscopy. - Sayantan Dutta; Jonathan Mamou (IEEE Trans. Computational Imaging, 2024)

Deep Unfolded Approximate Message Passing for Quantitative Acoustic Microscopy Image Reconstruction. - Odysseas A. Pappas; Jonathan Mamou; Adrian Basarab; Denis Kouamé; Alin Achim (ICASSP, 2025)

Distributed Speculative Inference (DSI): Speculation Parallelism for Provably Faster Lossless Language Model Inference. - Nadav Timor; Jonathan Mamou; Daniel Korat; Moshe Berchansky; Oren Pereg; Moshe Wasserblat; Tomer Galanti; Michal Gordon-Kiwkowitz; David Harel (ICLR, 2025)

A weighted Hankel approach and Cramér-Rao bound analysis for quantitative acoustic microscopy imaging. - Lorena Leon; Jonathan Mamou; Denis Kouamé; Adrian Basarab (Comput. Biol. Medicine, 2025)

Accelerating LLM Inference with Lossless Speculative Decoding Algorithms for Heterogeneous Vocabularies. - Nadav Timor; Jonathan Mamou; Daniel Korat; Moshe Berchansky; Oren Pereg; Gaurav Jain; Roy Schwartz 001; Moshe Wasserblat; David Harel (CoRR, 2025)

Out-of-Vocabulary Sampling Boosts Speculative Decoding. - Nadav Timor; Jonathan Mamou; Oren Pereg; Hongyang Zhang; David Harel (CoRR, 2025)