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Jonathan Mamou
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2020 – today
- 2024
- [j6]Sayantan Dutta, Jonathan Mamou:
A Quantum Denoising-Based Resolution Enhancement Framework for 250-MHz and 500-MHz Quantitative Acoustic Microscopy. IEEE Trans. Computational Imaging 10: 1489-1504 (2024) - [c37]Sayantan Dutta, Jonathan Mamou:
A Quantum Denoising-Based Red Framework for 250-Mhz & 500-Mhz Quantitative Acoustic-Microscopy Resolution Enhancement. ISBI 2024: 1-5 - [c36]Lorena Leon, Jonathan Mamou, Denis Kouamé, Adrian Basarab:
Hankel-Based Spectral Method for Quantitative Acoustic Microscopy. ISBI 2024: 1-5 - [i15]Jonathan Mamou, Oren Pereg, Daniel Korat, Moshe Berchansky, Nadav Timor, Moshe Wasserblat, Roy Schwartz:
Accelerating Speculative Decoding using Dynamic Speculation Length. CoRR abs/2405.04304 (2024) - [i14]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 abs/2405.14105 (2024) - 2023
- [c35]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: 14836-14851 - [i13]Daniel Rotem, Michael Hassid, Jonathan Mamou, Roy Schwartz:
Finding the SWEET Spot: Analysis and Improvement of Adaptive Inference in Low Resource Settings. CoRR abs/2306.02307 (2023) - 2022
- [i12]Jonathan Mamou, Oren Pereg, Moshe Wasserblat, Roy Schwartz:
TangoBERT: Reducing Inference Cost by using Cascaded Architecture. CoRR abs/2204.06271 (2022) - 2021
- [c34]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: 263-276 - [d1]Ziming Qiu, Tongda Xu, Jack Langerman, William Das, Chuiyu Wang, Nitin Nair, Orlando Aristizábal, Jonathan Mamou, Daniel H. Turnbull, Jeffrey A. Ketterling, Yao Wang:
Ultrasound Mouse Embryo Segmentation and Classification. IEEE DataPort, 2021 - [i11]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 abs/2104.07578 (2021) - 2020
- [j5]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: 993-1006 (2020) - [c33]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: 7008-7013 - [c32]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: 3069-3083 - [c31]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: 6713-6723 - [c30]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: 122-126 - [i10]Jonathan Mamou, Hang Le, Miguel Del Rio, Cory Stephenson, Hanlin Tang, Yoon Kim, SueYeon Chung:
Emergence of Separable Manifolds in Deep Language Representations. CoRR abs/2006.01095 (2020)
2010 – 2019
- 2019
- [c29]Jonathan Mamou, Thomas Pellegrini, Denis Kouamé, Adrian Basarab:
A Convolutional Neural Network for 250-MHz Quantitative Acoustic-microscopy Resolution Enhancement. EMBC 2019: 6212-6215 - [c28]Oren Pereg, Daniel Korat, Moshe Wasserblat, Jonathan Mamou, Ido Dagan:
ABSApp: A Portable Weakly-Supervised Aspect-Based Sentiment Extraction System. EMNLP/IJCNLP (3) 2019: 1-6 - [i9]Jonathan Mamou, Oren Pereg, Moshe Wasserblat, Ido Dagan:
Multi-Context Term Embeddings: the Use Case of Corpus-based Term Set Expansion. CoRR abs/1904.02496 (2019) - [i8]Oren Pereg, Daniel Korat, Moshe Wasserblat, Jonathan Mamou, Ido Dagan:
ABSApp: A Portable Weakly-Supervised Aspect-Based Sentiment Extraction System. CoRR abs/1909.05608 (2019) - [i7]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 abs/1909.10555 (2019) - [i6]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 abs/1910.09061 (2019) - [i5]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 abs/1911.03243 (2019) - 2018
- [c27]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: 58-62 - [c26]Amirhossein Khalilian-Gourtani, Yao Wang, Jonathan Mamou:
Scanning Acoustic Microscopy Image Super-Resolution using Bilateral Weighted Total Variation Regularization. EMBC 2018: 5113-5116 - [c25]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: 19-24 - [c24]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: 635-639 - [i4]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 abs/1807.10104 (2018) - [i3]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 abs/1808.08953 (2018) - [i2]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 abs/1811.03601 (2018) - 2017
- [j4]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): 715-724 (2017) - [j3]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): 1579-1591 (2017) - [c23]Jonathan Mamou, Daniel Rohrbach:
Image formation methods in quantitative acoustic microscopy. ICASSP 2017: 6259-6263 - [c22]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: 827-830 - [i1]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 abs/1705.07015 (2017) - 2016
- [j2]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): 427-441 (2016) - 2015
- [c21]Michel Assayag, Jonathan Huang, Jonathan Mamou, Oren Pereg, Saurav Sahay, Oren Shamir, Georg Stemmer, Moshe Wasserblat:
Meeting assistant application. INTERSPEECH 2015: 734-735 - [c20]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: 372-375 - [c19]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: 1110-1113 - 2014
- [c18]Jia Cui, Jonathan Mamou, Brian Kingsbury, Bhuvana Ramabhadran:
Automatic keyword selection for keyword search development and tuning. ICASSP 2014: 7839-7843 - 2013
- [c17]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: 464-469 - [c16]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: 6753-6757 - [c15]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, Philip C. Woodland:
System combination and score normalization for spoken term detection. ICASSP 2013: 8272-8276 - [c14]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, Philip C. Woodland:
A high-performance Cantonese keyword search system. ICASSP 2013: 8277-8281 - 2012
- [c13]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: 1114-1117 - [c12]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: 1064-1067 - 2011
- [c11]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: 1749-1752 - [c10]Jonathan Mamou, Abhinav Sethy, Bhuvana Ramabhadran, Ron Hoory, Paul Vozila:
Improved Spoken Query Transcription Using Co-Occurrence Information. INTERSPEECH 2011: 1473-1476
2000 – 2009
- 2009
- [c9]Bhuvana Ramabhadran, Abhinav Sethy, Jonathan Mamou, Brian Kingsbury, Upendra V. Chaudhari:
Fast decoding for open vocabulary spoken term detection. HLT-NAACL (Short Papers) 2009: 277-280 - [c8]Jonathan Mamou, Yosi Mass, Michal Shmueli-Scheuer, Benjamin Sznajder:
A unified inverted index for an efficient image and text retrieval. SIGIR 2009: 814-815 - 2008
- [c7]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: 610-614 - [c6]Jonathan Mamou, Bhuvana Ramabhadran:
Phonetic query expansion for spoken document retrieval. INTERSPEECH 2008: 2106-2109 - 2007
- [c5]Jonathan Mamou, Bhuvana Ramabhadran, Olivier Siohan:
Vocabulary independent spoken term detection. SIGIR 2007: 615-622 - 2006
- [j1]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): 112-116 (2006) - [c4]Jonathan Mamou, Jeffrey A. Ketterling:
Coded Excitation and Annular Arrays for High-Frequency Ultrasound Imaging. EMBC 2006: 2408-2411 - [c3]Jonathan Mamou, David Carmel, Ron Hoory:
Spoken document retrieval from call-center conversations. SIGIR 2006: 51-58 - 2005
- [b1]Jonathan Mamou:
Ultrasonic Characterization of Three Animal Mammary Tumors From Three-Dimensional Acoustic Tissue Models. University of Illinois Urbana-Champaign, USA, 2005 - 2003
- [c2]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: 46-52 - [c1]Sara Cohen, Jonathan Mamou, Yaron Kanza, Yehoshua Sagiv:
XSEarch: A Semantic Search Engine for XML. VLDB 2003: 45-56
Coauthor Index
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last updated on 2024-11-07 20:33 CET by the dblp team
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