Jonathan Mamou

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 33

Top Topics

Ultrasound Images

Top Venues

Publications

Nadav Timor, Jonathan Mamou, Daniel Korat, Moshe Berchansky, Oren Pereg, Moshe Wasserblat, Tomer Galanti, Michal Gordon, David Harel
Distributed Speculative Inference of Large Language Models. CoRR (2024)
Jonathan Mamou, Oren Pereg, Daniel Korat, Moshe Berchansky, Nadav Timor, Moshe Wasserblat, Roy Schwartz
Accelerating Speculative Decoding using Dynamic Speculation Length. CoRR (2024)
Daniel Rotem, Michael Hassid, Jonathan Mamou, Roy Schwartz
Finding the SWEET Spot: Analysis and Improvement of Adaptive Inference in Low Resource Settings. ACL (1) (2023)
Daniel Rotem, Michael Hassid, Jonathan Mamou, Roy Schwartz
Finding the SWEET Spot: Analysis and Improvement of Adaptive Inference in Low Resource Settings. CoRR (2023)
Jonathan Mamou, Oren Pereg, Moshe Wasserblat, Roy Schwartz
TangoBERT: Reducing Inference Cost by using Cascaded Architecture. CoRR (2022)
Matteo Alleman, Jonathan Mamou, Miguel A. Del Rio, Hanlin Tang, Yoon Kim, SueYeon Chung
Syntactic Perturbations Reveal Representational Correlates of Hierarchical Phrase Structure in Pretrained Language Models. CoRR (2021)
Matteo Alleman, Jonathan Mamou, Miguel A. Del Rio, Hanlin Tang, Yoon Kim, SueYeon Chung
Syntactic Perturbations Reveal Representational Correlates of Hierarchical Phrase Structure in Pretrained Language Models. RepL4NLP@ACL-IJCNLP (2021)
Jonathan Mamou, Hang Le, Miguel Del Rio, Cory Stephenson, Hanlin Tang, Yoon Kim, SueYeon Chung
Emergence of Separable Manifolds in Deep Language Representations. ICML (2020)
Paul Roit, Ayal Klein, Daniela Stepanov, Jonathan Mamou, Julian Michael, Gabriel Stanovsky, Luke Zettlemoyer, Ido Dagan
Controlled Crowdsourcing for High-Quality QA-SRL Annotation. ACL (2020)
Jonathan Mamou, Hang Le, Miguel Del Rio, Cory Stephenson, Hanlin Tang, Yoon Kim, SueYeon Chung
Emergence of Separable Manifolds in Deep Language Representations. CoRR (2020)
Jong-Hoon Kim, Jonathan Mamou, Denis Kouamé, Alin Achim, Adrian Basarab
Autoregressive Model-Based Reconstruction of Quantitative Acoustic Maps From RF Signals Sampled at Innovation Rate. IEEE Trans. Computational Imaging 6 (2020)
Tongda Xu, Ziming Qiu, William Das, Chuiyu Wang, Jack Langerman, Nitin Nair, Orlando Aristizábal, Jonathan Mamou, Daniel H. Turnbull, Jeffrey A. Ketterling, Yao Wang
Deep Mouse: An End-to-End Auto-Context Refinement Framework for Brain Ventricle & Body Segmentation in Embryonic Mice Ultrasound Volumes. ISBI (2020)
Ayal Klein, Jonathan Mamou, Valentina Pyatkin, Daniela Stepanov, Hangfeng He, Dan Roth, Luke Zettlemoyer, Ido Dagan
QANom: Question-Answer driven SRL for Nominalizations. COLING (2020)
Tongda Xu, Ziming Qiu, William Das, Chuiyu Wang, Jack Langerman, Nitin Nair, Orlando Aristizábal, Jonathan Mamou, Daniel H. Turnbull, Jeffrey A. Ketterling, Yao Wang
Deep Mouse: An End-to-end Auto-context Refinement Framework for Brain Ventricle and Body Segmentation in Embryonic Mice Ultrasound Volumes. CoRR (2019)
Jonathan Mamou, Oren Pereg, Moshe Wasserblat, Ido Dagan
Multi-Context Term Embeddings: the Use Case of Corpus-based Term Set Expansion. CoRR (2019)
Ziming Qiu, Nitin Nair, Jack Langerman, Orlando Aristizábal, Jonathan Mamou, Daniel H. Turnbull, Jeffrey A. Ketterling, Yao Wang
Automatic Mouse Embryo Brain Ventricle & Body Segmentation and Mutant Classification From Ultrasound Data Using Deep Learning. CoRR (2019)
Jonathan Mamou, Thomas Pellegrini, Denis Kouamé, Adrian Basarab
A Convolutional Neural Network for 250-MHz Quantitative Acoustic-microscopy Resolution Enhancement. EMBC (2019)
Oren Pereg, Daniel Korat, Moshe Wasserblat, Jonathan Mamou, Ido Dagan
ABSApp: A Portable Weakly-Supervised Aspect-Based Sentiment Extraction System. EMNLP/IJCNLP (3) (2019)
Paul Roit, Ayal Klein, Daniela Stepanov, Jonathan Mamou, Julian Michael, Gabriel Stanovsky, Luke Zettlemoyer, Ido Dagan
Crowdsourcing a High-Quality Gold Standard for QA-SRL. CoRR (2019)
Oren Pereg, Daniel Korat, Moshe Wasserblat, Jonathan Mamou, Ido Dagan
ABSApp: A Portable Weakly-Supervised Aspect-Based Sentiment Extraction System. CoRR (2019)
Amirhossein Khalilian-Gourtani, Yao Wang, Jonathan Mamou
Scanning Acoustic Microscopy Image Super-Resolution using Bilateral Weighted Total Variation Regularization. EMBC (2018)
Jonathan Mamou, Oren Pereg, Moshe Wasserblat, Alon Eirew, Yael Green, Shira Guskin, Peter Izsak, Daniel Korat
Term Set Expansion based NLP Architect by Intel AI Lab. CoRR (2018)
Jonathan Mamou, Oren Pereg, Moshe Wasserblat, Ido Dagan, Yoav Goldberg, Alon Eirew, Yael Green, Shira Guskin, Peter Izsak, Daniel Korat
Term Set Expansion based on Multi-Context Term Embeddings: an End-to-end Workflow. CoRR (2018)
Jen-Wei Kuo, Ziming Qiu, Orlando Aristizábal, Jonathan Mamou, Daniel H. Turnbull, Jeffrey A. Ketterling, Yao Wang
Automatic body localization and brain ventricle segmentation in 3D high frequency ultrasound images of mouse embryos. ISBI (2018)
Jonathan Mamou, Oren Pereg, Moshe Wasserblat, Alon Eirew, Yael Green, Shira Guskin, Peter Izsak, Daniel Korat
Term Set Expansion based NLP Architect by Intel AI Lab. EMNLP (Demonstration) (2018)
Ziming Qiu, Jack Langerman, Nitin Nair, Orlando Aristizábal, Jonathan Mamou, Daniel H. Turnbull, Jeffrey A. Ketterling, Yao Wang
Deep BV: A Fully Automated System for Brain Ventricle Localization and Segmentation in 3D Ultrasound Images of Embryonic Mice. CoRR (2018)
Jonathan Mamou, Oren Pereg, Moshe Wasserblat, Ido Dagan, Yoav Goldberg, Alon Eirew, Yael Green, Shira Guskin, Peter Izsak, Daniel Korat
SetExpander: End-to-end Term Set Expansion Based on Multi-Context Term Embeddings. COLING (Demos) (2018)
Jonathan Mamou, Daniel Rohrbach
Image formation methods in quantitative acoustic microscopy. ICASSP (2017)
Daniel Rohrbach, Anette Jakob, Harriet O. Lloyd, Steffen H. Tretbar, Ronald H. Silverman, Jonathan Mamou
A Novel Quantitative 500-MHz Acoustic Microscopy System for Ophthalmologic Tissues. IEEE Trans. Biomed. Eng. 64 (3) (2017)
Thanh Minh Bui, Alain Coron, Jonathan Mamou, Emi Saegusa-Beecroft, Tadashi Yamaguchi, Eugene Yanagihara, Junji Machi, S. Lori Bridal, Ernest J. Feleppa
Local Transverse-Slice-Based Level-Set Method for Segmentation of 3-D High-Frequency Ultrasonic Backscatter From Dissected Human Lymph Nodes. IEEE Trans. Biomed. Eng. 64 (7) (2017)
Jen-Wei Kuo, Jonathan Mamou, Yao Wang, Emi Saegusa-Beecroft, Junji Machi, Ernest J. Feleppa
Segmentation of 3D High-frequency Ultrasound Images of Human Lymph Nodes Using Graph Cut with Energy Functional Adapted to Local Intensity Distribution. CoRR (2017)
Adrian Basarab, Daniel Rohrbach, Ningning Zhao, Jean-Yves Tourneret, Denis Kouame, Jonathan Mamou
Enhancement of 250-MHz quantitative acoustic-microscopy data using a single-image super-resolution method. ISBI (2017)
Jen-Wei Kuo, Jonathan Mamou, Orlando Aristizábal, Xuan Zhao, Jeffrey A. Ketterling, Yao Wang
Nested Graph Cut for Automatic Segmentation of High-Frequency Ultrasound Images of the Mouse Embryo. IEEE Trans. Medical Imaging 35 (2) (2016)
Thanh Minh Bui, Alain Coron, Jonathan Mamou, Emi Saegusa-Beecroft, Junji Machi, Alexandre Dizeux, S. Lori Bridal, Ernest J. Feleppa
Level-set segmentation of 2D and 3D ultrasound data using local gamma distribution fitting energy. ISBI (2015)
Michel Assayag, Jonathan Huang, Jonathan Mamou, Oren Pereg, Saurav Sahay, Oren Shamir, Georg Stemmer, Moshe Wasserblat
Meeting assistant application. INTERSPEECH (2015)
Jen-Wei Kuo, Jonathan Mamou, Yao Wang, Emi Saegusa-Beecroft, Junji Machi, Ernest J. Feleppa
A novel nested graph cuts method for segmenting human lymph nodes in 3D high frequency ultrasound images. ISBI (2015)
Jia Cui, Jonathan Mamou, Brian Kingsbury, Bhuvana Ramabhadran
Automatic keyword selection for keyword search development and tuning. ICASSP (2014)
Murat Saraclar, Abhinav Sethy, Bhuvana Ramabhadran, Lidia Mangu, Jia Cui, Xiaodong Cui, Brian Kingsbury, Jonathan Mamou
An empirical study of confusion modeling in keyword search for low resource languages. ASRU (2013)
Jonathan Mamou, Jia Cui, Xiaodong Cui, Mark J. F. Gales, Brian Kingsbury, Kate Knill, Lidia Mangu, David Nolden, Michael Picheny, Bhuvana Ramabhadran, Ralf Schlüter, Abhinav Sethy, Philip C. Woodland
System combination and score normalization for spoken term detection. ICASSP (2013)
Jia Cui, Xiaodong Cui, Bhuvana Ramabhadran, Janice Kim, Brian Kingsbury, Jonathan Mamou, Lidia Mangu, Michael Picheny, Tara N. Sainath, Abhinav Sethy
Developing speech recognition systems for corpus indexing under the IARPA Babel program. ICASSP (2013)
Brian Kingsbury, Jia Cui, Xiaodong Cui, Mark J. F. Gales, Kate Knill, Jonathan Mamou, Lidia Mangu, David Nolden, Michael Picheny, Bhuvana Ramabhadran, Ralf Schlüter, Abhinav Sethy, Philip C. Woodland
A high-performance Cantonese keyword search system. ICASSP (2013)
Alain Coron, Jonathan Mamou, Emi Saegusa-Beecroft, Michael L. Oelze, Tadashi Yamaguchi, Masaki Hata, Junji Machi, Eugene Yanagihara, Pascal Laugier, Ernest J. Feleppa
A quantitative ultrasound-based method and device for reliably guiding pathologists to metastatic regions of dissected lymph nodes. ISBI (2012)
Jonathan Mamou, Emi Saegusa-Beecroft, Alain Coron, Michael L. Oelze, Tadashi Yamaguchi, Junji Machi, Masaki Hata, Eugene Yanagihara, Pascal Laugier, Ernest J. Feleppa
Three-dimensional quantitative ultrasound to guide pathologists towards metastatic foci in lymph nodes. EMBC (2012)
Alexander Sorin, Hagai Aronowitz, Jonathan Mamou, Orith Toledo-Ronen, Ron Hoory, Michael Kuritzky, Yael Erez, Bhuvana Ramabhadran, Abhinav Sethy
Speech processing and retrieval in a personal memory aid system for the elderly. ICASSP (2011)
Jonathan Mamou, Abhinav Sethy, Bhuvana Ramabhadran, Ron Hoory, Paul Vozila
Improved Spoken Query Transcription Using Co-Occurrence Information. INTERSPEECH (2011)
Bhuvana Ramabhadran, Abhinav Sethy, Jonathan Mamou, Brian Kingsbury, Upendra V. Chaudhari
Fast decoding for open vocabulary spoken term detection. HLT-NAACL (Short Papers) (2009)
Jonathan Mamou, Yosi Mass, Michal Shmueli-Scheuer, Benjamin Sznajder
A unified inverted index for an efficient image and text retrieval. SIGIR (2009)
Jonathan Mamou, Bhuvana Ramabhadran
Phonetic query expansion for spoken document retrieval. INTERSPEECH (2008)
Walter Allasia, Fabrizio Falchi, Francesco Gallo, Mouna Kacimi, Aaron Kaplan, Jonathan Mamou, Yosi Mass, Nicola Orio
Audio-Visual Content Analysis in P2P Networks: The SAPIR Approach. DEXA Workshops (2008)
Jonathan Mamou, Bhuvana Ramabhadran, Olivier Siohan
Vocabulary independent spoken term detection. SIGIR (2007)
Jonathan Mamou, Michael L. Oelze, William D. O'Brien Jr., James F. Zachary
Perspective on biomedical quantitative ultrasound imaging. IEEE Signal Process. Mag. 23 (3) (2006)
Jonathan Mamou, Jeffrey A. Ketterling
Coded Excitation and Annular Arrays for High-Frequency Ultrasound Imaging. EMBC (2006)
Jonathan Mamou, David Carmel, Ron Hoory
Spoken document retrieval from call-center conversations. SIGIR (2006)
Yiftah Ben-Aharon, Sara Cohen, Yael Grumbach, Yaron Kanza, Jonathan Mamou, Yehoshua Sagiv, Benjamin Sznajder, Efrat Twito
Searching in an XML Corpus Using Content and Structure. INEX (2003)
Sara Cohen, Jonathan Mamou, Yaron Kanza, Yehoshua Sagiv
XSEarch: A Semantic Search Engine for XML. VLDB (2003)