Jonathan Mamou

67 papers A* 8A 3B 1C 1Misc 7Journal 24Unranked 22

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A weighted Hankel approach and Cramér-Rao bound analysis for quantitative acoustic microscopy imaging. Comput. Biol. Medicine Lorena Leon, Jonathan Mamou, Denis Kouamé, Adrian Basarab
2025	A*	`conf`	Accelerating LLM Inference with Lossless Speculative Decoding Algorithms for Heterogeneous Vocabularies. ICML Nadav Timor, Jonathan Mamou, Daniel Korat, Moshe Berchansky, Gaurav Jain, Oren Pereg, Moshe Wasserblat, David Harel
2025	J	`jnl`	Accelerating LLM Inference with Lossless Speculative Decoding Algorithms for Heterogeneous Vocabularies. CoRR Nadav Timor, Jonathan Mamou, Daniel Korat, Moshe Berchansky, Oren Pereg, Gaurav Jain, Roy Schwartz, Moshe Wasserblat, David Harel
2025	Misc	`conf`	Deep Unfolded Approximate Message Passing for Quantitative Acoustic Microscopy Image Reconstruction. ICASSP Odysseas A. Pappas, Jonathan Mamou, Adrian Basarab, Denis Kouamé, Alin Achim
2025	A*	`conf`	Distributed Speculative Inference (DSI): Speculation Parallelism for Provably Faster Lossless Language Model Inference. ICLR Nadav Timor, Jonathan Mamou, Daniel Korat, Moshe Berchansky, Oren Pereg, Moshe Wasserblat, Tomer Galanti, Michal Gordon-Kiwkowitz, David Harel
2025	J	`jnl`	Out-of-Vocabulary Sampling Boosts Speculative Decoding. CoRR Nadav Timor, Jonathan Mamou, Oren Pereg, Hongyang Zhang, David Harel
2024	—	`conf`	A Quantum Denoising-Based Red Framework for 250-Mhz & 500-Mhz Quantitative Acoustic-Microscopy Resolution Enhancement. ISBI Sayantan Dutta, Jonathan Mamou
2024	J	`jnl`	A Quantum Denoising-Based Resolution Enhancement Framework for 250-MHz and 500-MHz Quantitative Acoustic Microscopy. IEEE Trans. Computational Imaging Sayantan Dutta, Jonathan Mamou
2024	J	`jnl`	Accelerating Speculative Decoding using Dynamic Speculation Length. CoRR Jonathan Mamou, Oren Pereg, Daniel Korat, Moshe Berchansky, Nadav Timor, Moshe Wasserblat, Roy Schwartz
2024	—	`conf`	Distributed Speculative Inference of Large Language Models is Provably Faster. ENLSP Nadav Timor, Jonathan Mamou, Oren Pereg, Moshe Berchansky, Daniel Korat, Moshe Wasserblat, Tomer Galanti, Michal Gordon, David Harel
2024	J	`jnl`	Distributed Speculative Inference of Large Language Models. CoRR Nadav Timor, Jonathan Mamou, Daniel Korat, Moshe Berchansky, Oren Pereg, Moshe Wasserblat, Tomer Galanti, Michal Gordon, David Harel
2024	—	`conf`	Dynamic Speculation Lookahead Accelerates Speculative Decoding of Large Language Models. ENLSP Jonathan Mamou, Oren Pereg, Daniel Korat, Moshe Berchansky, Nadav Timor, Moshe Wasserblat, Roy Schwartz
2024	—	`conf`	Hankel-Based Spectral Method for Quantitative Acoustic Microscopy. ISBI Lorena Leon, Jonathan Mamou, Denis Kouamé, Adrian Basarab
2023	—	`conf`	Finding the SWEET Spot: Analysis and Improvement of Adaptive Inference in Low Resource Settings. ACL (1) Daniel Rotem, Michael Hassid, Jonathan Mamou, Roy Schwartz
2023	J	`jnl`	Finding the SWEET Spot: Analysis and Improvement of Adaptive Inference in Low Resource Settings. CoRR Daniel Rotem, Michael Hassid, Jonathan Mamou, Roy Schwartz
2022	J	`jnl`	TangoBERT: Reducing Inference Cost by using Cascaded Architecture. CoRR Jonathan Mamou, Oren Pereg, Moshe Wasserblat, Roy Schwartz
2021	—	`conf`	Syntactic Perturbations Reveal Representational Correlates of Hierarchical Phrase Structure in Pretrained Language Models. RepL4NLP@ACL-IJCNLP Matteo Alleman, Jonathan Mamou, Miguel A. Del Rio, Hanlin Tang, Yoon Kim, SueYeon Chung
2021	J	`jnl`	Syntactic Perturbations Reveal Representational Correlates of Hierarchical Phrase Structure in Pretrained Language Models. CoRR Matteo Alleman, Jonathan Mamou, Miguel A. Del Rio, Hanlin Tang, Yoon Kim, SueYeon Chung
2020	J	`jnl`	Autoregressive Model-Based Reconstruction of Quantitative Acoustic Maps From RF Signals Sampled at Innovation Rate. IEEE Trans. Computational Imaging Jong-Hoon Kim, Jonathan Mamou, Denis Kouamé, Alin Achim, Adrian Basarab
2020	A*	`conf`	Controlled Crowdsourcing for High-Quality QA-SRL Annotation. ACL Paul Roit, Ayal Klein, Daniela Stepanov, Jonathan Mamou, Julian Michael, Gabriel Stanovsky, Luke Zettlemoyer, Ido Dagan
2020	—	`conf`	Deep Mouse: An End-to-End Auto-Context Refinement Framework for Brain Ventricle & Body Segmentation in Embryonic Mice Ultrasound Volumes. ISBI Tongda Xu, Ziming Qiu, William Das, Chuiyu Wang, Jack Langerman, Nitin Nair, Orlando Aristizábal, Jonathan Mamou, Daniel H. Turnbull, Jeffrey A. Ketterling, Yao Wang
2020	A*	`conf`	Emergence of Separable Manifolds in Deep Language Representations. ICML Jonathan Mamou, Hang Le, Miguel Del Rio, Cory Stephenson, Hanlin Tang, Yoon Kim, SueYeon Chung
2020	J	`jnl`	Emergence of Separable Manifolds in Deep Language Representations. CoRR Jonathan Mamou, Hang Le, Miguel Del Rio, Cory Stephenson, Hanlin Tang, Yoon Kim, SueYeon Chung
2020	B	`conf`	QANom: Question-Answer driven SRL for Nominalizations. COLING Ayal Klein, Jonathan Mamou, Valentina Pyatkin, Daniela Stepanov, Hangfeng He, Dan Roth, Luke Zettlemoyer, Ido Dagan
2019	—	`conf`	A Convolutional Neural Network for 250-MHz Quantitative Acoustic-microscopy Resolution Enhancement. EMBC Jonathan Mamou, Thomas Pellegrini, Denis Kouamé, Adrian Basarab
2019	—	`conf`	ABSApp: A Portable Weakly-Supervised Aspect-Based Sentiment Extraction System. EMNLP/IJCNLP (3) Oren Pereg, Daniel Korat, Moshe Wasserblat, Jonathan Mamou, Ido Dagan
2019	J	`jnl`	ABSApp: A Portable Weakly-Supervised Aspect-Based Sentiment Extraction System. CoRR Oren Pereg, Daniel Korat, Moshe Wasserblat, Jonathan Mamou, Ido Dagan
2019	J	`jnl`	Automatic Mouse Embryo Brain Ventricle & Body Segmentation and Mutant Classification From Ultrasound Data Using Deep Learning. CoRR Ziming Qiu, Nitin Nair, Jack Langerman, Orlando Aristizábal, Jonathan Mamou, Daniel H. Turnbull, Jeffrey A. Ketterling, Yao Wang
2019	J	`jnl`	Crowdsourcing a High-Quality Gold Standard for QA-SRL. CoRR Paul Roit, Ayal Klein, Daniela Stepanov, Jonathan Mamou, Julian Michael, Gabriel Stanovsky, Luke Zettlemoyer, Ido Dagan
2019	J	`jnl`	Deep Mouse: An End-to-end Auto-context Refinement Framework for Brain Ventricle and Body Segmentation in Embryonic Mice Ultrasound Volumes. CoRR Tongda Xu, Ziming Qiu, William Das, Chuiyu Wang, Jack Langerman, Nitin Nair, Orlando Aristizábal, Jonathan Mamou, Daniel H. Turnbull, Jeffrey A. Ketterling, Yao Wang
2019	J	`jnl`	Multi-Context Term Embeddings: the Use Case of Corpus-based Term Set Expansion. CoRR Jonathan Mamou, Oren Pereg, Moshe Wasserblat, Ido Dagan
2018	—	`conf`	Automatic body localization and brain ventricle segmentation in 3D high frequency ultrasound images of mouse embryos. ISBI Jen-Wei Kuo, Ziming Qiu, Orlando Aristizábal, Jonathan Mamou, Daniel H. Turnbull, Jeffrey A. Ketterling, Yao Wang
2018	J	`jnl`	Deep BV: A Fully Automated System for Brain Ventricle Localization and Segmentation in 3D Ultrasound Images of Embryonic Mice. CoRR Ziming Qiu, Jack Langerman, Nitin Nair, Orlando Aristizábal, Jonathan Mamou, Daniel H. Turnbull, Jeffrey A. Ketterling, Yao Wang
2018	—	`conf`	Scanning Acoustic Microscopy Image Super-Resolution using Bilateral Weighted Total Variation Regularization. EMBC Amirhossein Khalilian-Gourtani, Yao Wang, Jonathan Mamou
2018	—	`conf`	SetExpander: End-to-end Term Set Expansion Based on Multi-Context Term Embeddings. COLING (Demos) Jonathan Mamou, Oren Pereg, Moshe Wasserblat, Ido Dagan, Yoav Goldberg, Alon Eirew, Yael Green, Shira Guskin, Peter Izsak, Daniel Korat
2018	—	`conf`	Term Set Expansion based NLP Architect by Intel AI Lab. EMNLP (Demonstration) Jonathan Mamou, Oren Pereg, Moshe Wasserblat, Alon Eirew, Yael Green, Shira Guskin, Peter Izsak, Daniel Korat
2018	J	`jnl`	Term Set Expansion based NLP Architect by Intel AI Lab. CoRR Jonathan Mamou, Oren Pereg, Moshe Wasserblat, Alon Eirew, Yael Green, Shira Guskin, Peter Izsak, Daniel Korat
2018	J	`jnl`	Term Set Expansion based on Multi-Context Term Embeddings: an End-to-end Workflow. CoRR Jonathan Mamou, Oren Pereg, Moshe Wasserblat, Ido Dagan, Yoav Goldberg, Alon Eirew, Yael Green, Shira Guskin, Peter Izsak, Daniel Korat
2017	J	`jnl`	A Novel Quantitative 500-MHz Acoustic Microscopy System for Ophthalmologic Tissues. IEEE Trans. Biomed. Eng. Daniel Rohrbach, Anette Jakob, Harriet O. Lloyd, Steffen H. Tretbar, Ronald H. Silverman, Jonathan Mamou
2017	—	`conf`	Enhancement of 250-MHz quantitative acoustic-microscopy data using a single-image super-resolution method. ISBI Adrian Basarab, Daniel Rohrbach, Ningning Zhao, Jean-Yves Tourneret, Denis Kouame, Jonathan Mamou
2017	Misc	`conf`	Image formation methods in quantitative acoustic microscopy. ICASSP Jonathan Mamou, Daniel Rohrbach
2017	J	`jnl`	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. Thanh Minh Bui, Alain Coron, Jonathan Mamou, Emi Saegusa-Beecroft, Tadashi Yamaguchi, Eugene Yanagihara, Junji Machi, S. Lori Bridal, Ernest J. Feleppa
2017	J	`jnl`	Segmentation of 3D High-frequency Ultrasound Images of Human Lymph Nodes Using Graph Cut with Energy Functional Adapted to Local Intensity Distribution. CoRR Jen-Wei Kuo, Jonathan Mamou, Yao Wang, Emi Saegusa-Beecroft, Junji Machi, Ernest J. Feleppa
2016	J	`jnl`	Nested Graph Cut for Automatic Segmentation of High-Frequency Ultrasound Images of the Mouse Embryo. IEEE Trans. Medical Imaging Jen-Wei Kuo, Jonathan Mamou, Orlando Aristizábal, Xuan Zhao, Jeffrey A. Ketterling, Yao Wang
2015	—	`conf`	A novel nested graph cuts method for segmenting human lymph nodes in 3D high frequency ultrasound images. ISBI Jen-Wei Kuo, Jonathan Mamou, Yao Wang, Emi Saegusa-Beecroft, Junji Machi, Ernest J. Feleppa
2015	—	`conf`	Level-set segmentation of 2D and 3D ultrasound data using local gamma distribution fitting energy. ISBI Thanh Minh Bui, Alain Coron, Jonathan Mamou, Emi Saegusa-Beecroft, Junji Machi, Alexandre Dizeux, S. Lori Bridal, Ernest J. Feleppa
2015	A	`conf`	Meeting assistant application. INTERSPEECH Michel Assayag, Jonathan Huang, Jonathan Mamou, Oren Pereg, Saurav Sahay, Oren Shamir, Georg Stemmer, Moshe Wasserblat
2014	Misc	`conf`	Automatic keyword selection for keyword search development and tuning. ICASSP Jia Cui, Jonathan Mamou, Brian Kingsbury, Bhuvana Ramabhadran
2013	Misc	`conf`	A high-performance Cantonese keyword search system. ICASSP 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
2013	C	`conf`	An empirical study of confusion modeling in keyword search for low resource languages. ASRU Murat Saraclar, Abhinav Sethy, Bhuvana Ramabhadran, Lidia Mangu, Jia Cui, Xiaodong Cui, Brian Kingsbury, Jonathan Mamou
2013	Misc	`conf`	Developing speech recognition systems for corpus indexing under the IARPA Babel program. ICASSP Jia Cui, Xiaodong Cui, Bhuvana Ramabhadran, Janice Kim, Brian Kingsbury, Jonathan Mamou, Lidia Mangu, Michael Picheny, Tara N. Sainath, Abhinav Sethy
2013	Misc	`conf`	System combination and score normalization for spoken term detection. ICASSP 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
2012	—	`conf`	A quantitative ultrasound-based method and device for reliably guiding pathologists to metastatic regions of dissected lymph nodes. ISBI Alain Coron, Jonathan Mamou, Emi Saegusa-Beecroft, Michael L. Oelze, Tadashi Yamaguchi, Masaki Hata, Junji Machi, Eugene Yanagihara, Pascal Laugier, Ernest J. Feleppa
2012	—	`conf`	Three-dimensional quantitative ultrasound to guide pathologists towards metastatic foci in lymph nodes. EMBC Jonathan Mamou, Emi Saegusa-Beecroft, Alain Coron, Michael L. Oelze, Tadashi Yamaguchi, Junji Machi, Masaki Hata, Eugene Yanagihara, Pascal Laugier, Ernest J. Feleppa
2011	A	`conf`	Improved Spoken Query Transcription Using Co-Occurrence Information. INTERSPEECH Jonathan Mamou, Abhinav Sethy, Bhuvana Ramabhadran, Ron Hoory, Paul Vozila
2011	Misc	`conf`	Speech processing and retrieval in a personal memory aid system for the elderly. ICASSP Alexander Sorin, Hagai Aronowitz, Jonathan Mamou, Orith Toledo-Ronen, Ron Hoory, Michael Kuritzky, Yael Erez, Bhuvana Ramabhadran, Abhinav Sethy
2009	A*	`conf`	A unified inverted index for an efficient image and text retrieval. SIGIR Jonathan Mamou, Yosi Mass, Michal Shmueli-Scheuer, Benjamin Sznajder
2009	—	`conf`	Fast decoding for open vocabulary spoken term detection. HLT-NAACL (Short Papers) Bhuvana Ramabhadran, Abhinav Sethy, Jonathan Mamou, Brian Kingsbury, Upendra V. Chaudhari
2008	—	`conf`	Audio-Visual Content Analysis in P2P Networks: The SAPIR Approach. DEXA Workshops Walter Allasia, Fabrizio Falchi, Francesco Gallo, Mouna Kacimi, Aaron Kaplan, Jonathan Mamou, Yosi Mass, Nicola Orio
2008	A	`conf`	Phonetic query expansion for spoken document retrieval. INTERSPEECH Jonathan Mamou, Bhuvana Ramabhadran
2007	A*	`conf`	Vocabulary independent spoken term detection. SIGIR Jonathan Mamou, Bhuvana Ramabhadran, Olivier Siohan
2006	—	`conf`	Coded Excitation and Annular Arrays for High-Frequency Ultrasound Imaging. EMBC Jonathan Mamou, Jeffrey A. Ketterling
2006	J	`jnl`	Perspective on biomedical quantitative ultrasound imaging. IEEE Signal Process. Mag. Jonathan Mamou, Michael L. Oelze, William D. O'Brien Jr., James F. Zachary
2006	A*	`conf`	Spoken document retrieval from call-center conversations. SIGIR Jonathan Mamou, David Carmel, Ron Hoory
2005	—	`—`	Ultrasonic Characterization of Three Animal Mammary Tumors From Three-Dimensional Acoustic Tissue Models Jonathan Mamou
2003	—	`conf`	Searching in an XML Corpus Using Content and Structure. INEX Yiftah Ben-Aharon, Sara Cohen, Yael Grumbach, Yaron Kanza, Jonathan Mamou, Yehoshua Sagiv, Benjamin Sznajder, Efrat Twito
2003	A*	`conf`	XSEarch: A Semantic Search Engine for XML. VLDB Sara Cohen, Jonathan Mamou, Yaron Kanza, Yehoshua Sagiv