Yossi Matias

ORCID

Publication Activity (10 Years)

Years Active: 1987-2024
Publications (10 Years): 70

Top Venues

Publications

Liron David, Omer Berkman, Avinatan Hassidim, David Lazarov, Yossi Matias, Moti Yung
Cryptiny: Compacting Cryptography for Space-Restricted Channels and its Use-case for IoT-E2EE. IACR Cryptol. ePrint Arch. 2024 (2024)
Abbi Ward, Jimmy Li, Julie Wang, Sriram Lakshminarasimhan, Ashley Carrick, Bilson J. L. Campana, Jay Hartford, Pradeep Kumar S, Tiya Tiyasirichokchai, Sunny Virmani, Renee Wong, Yossi Matias, Gregory S. Corrado, Dale R. Webster, Dawn Siegel, Steven Lin, Justin Ko, Alan Karthikesalingam, Christopher Semturs, Pooja Rao
Crowdsourcing Dermatology Images with Google Search Ads: Creating a Real-World Skin Condition Dataset. CoRR (2024)
Brigitte Hoyer Gosselink, Kate Brandt, Marian Croak, Karen DeSalvo, Ben Gomes, Lila Ibrahim, Maggie Johnson, Yossi Matias, Ruth Porat, Kent Walker, James Manyika
AI in Action: Accelerating Progress Towards the Sustainable Development Goals. CoRR (2024)
Lin Yang, Shawn Xu, Andrew Sellergren, Timo Kohlberger, Yuchen Zhou, Ira Ktena, Atilla P. Kiraly, Faruk Ahmed, Farhad Hormozdiari, Tiam Jaroensri, Eric Wang, Ellery Wulczyn, Fayaz Jamil, Theo Guidroz, Chuck Lau, Siyuan Qiao, Yun Liu, Akshay Goel, Kendall Park, Arnav Agharwal, Nick George, Yang Wang, Ryutaro Tanno, David G. T. Barrett, Wei-Hung Weng, S. Sara Mahdavi, Khaled Saab, Tao Tu, Sreenivasa Raju Kalidindi, Mozziyar Etemadi, Jorge Cuadros, Gregory Sorensen, Yossi Matias, Katherine Chou, Greg Corrado, Joelle K. Barral, Shravya Shetty, David J. Fleet, S. M. Ali Eslami, Daniel Tse, Shruthi Prabhakara, Cory Y. McLean, Dave Steiner, Rory Pilgrim, Christopher Kelly, Shekoofeh Azizi, Daniel Golden
Advancing Multimodal Medical Capabilities of Gemini. CoRR (2024)
Rajeev V. Rikhye, Aaron Loh, Grace Eunhae Hong, Preeti Singh, Margaret Ann Smith, Vijaytha Muralidharan, Doris Wong, Rory Sayres, Michelle Phung, Nicolas Betancourt, Bradley Fong, Rachna Sahasrabudhe, Khoban Nasim, Alec Eschholz, Basil Mustafa, Jan Freyberg, Terry Spitz, Yossi Matias, Gregory S. Corrado, Katherine Chou, Dale R. Webster, Peggy Bui, Yuan Liu, Yun Liu, Justin Ko, Steven Lin
Closing the AI generalization gap by adjusting for dermatology condition distribution differences across clinical settings. CoRR (2024)
Tao Tu, Anil Palepu, Mike Schaekermann, Khaled Saab, Jan Freyberg, Ryutaro Tanno, Amy Wang, Brenna Li, Mohamed Amin, Nenad Tomasev, Shekoofeh Azizi, Karan Singhal, Yong Cheng, Le Hou, Albert Webson, Kavita Kulkarni, S. Sara Mahdavi, Christopher Semturs, Juraj Gottweis, Joelle K. Barral, Katherine Chou, Gregory S. Corrado, Yossi Matias, Alan Karthikesalingam, Vivek Natarajan
Towards Conversational Diagnostic AI. CoRR (2024)
Lior Shani, Aviv Rosenberg, Asaf Cassel, Oran Lang, Daniele Calandriello, Avital Zipori, Hila Noga, Orgad Keller, Bilal Piot, Idan Szpektor, Avinatan Hassidim, Yossi Matias, Rémi Munos
Multi-turn Reinforcement Learning from Preference Human Feedback. CoRR (2024)
Brenna Li, Amy Wang, Patricia Strachan, Julie Anne Séguin, Sami Lachgar, Karyn C. Schroeder, Mathias S. Fleck, Renee Wong, Alan Karthikesalingam, Vivek Natarajan, Yossi Matias, Gregory S. Corrado, Dale R. Webster, Yun Liu, Naama Hammel, Rory Sayres, Christopher Semturs, Mike Schaekermann
Conversational AI in health: Design considerations from a Wizard-of-Oz dermatology case study with users, clinicians and a medical LLM. CHI Extended Abstracts (2024)
Faruk Ahmed, Andrew Sellergren, Lin Yang, Shawn Xu, Boris Babenko, Abbi Ward, Niels Olson, Arash Mohtashamian, Yossi Matias, Greg Corrado, Quang Duong, Dale R. Webster, Shravya Shetty, Daniel Golden, Yun Liu, David F. Steiner, Ellery Wulczyn
PathAlign: A vision-language model for whole slide images in histopathology. CoRR (2024)
Khaled Saab, Tao Tu, Wei-Hung Weng, Ryutaro Tanno, David Stutz, Ellery Wulczyn, Fan Zhang, Tim Strother, Chunjong Park, Elahe Vedadi, Juanma Zambrano Chaves, Szu-Yeu Hu, Mike Schaekermann, Aishwarya Kamath, Yong Cheng, David G. T. Barrett, Cathy Cheung, Basil Mustafa, Anil Palepu, Daniel McDuff, Le Hou, Tomer Golany, Luyang Liu, Jean-Baptiste Alayrac, Neil Houlsby, Nenad Tomasev, Jan Freyberg, Charles Lau, Jonas Kemp, Jeremy Lai, Shekoofeh Azizi, Kimberly Kanada, SiWai Man, Kavita Kulkarni, Ruoxi Sun, Siamak Shakeri, Luheng He, Benjamin Caine, Albert Webson, Natasha Latysheva, Melvin Johnson, Philip Andrew Mansfield, Jian Lu, Ehud Rivlin, Jesper Anderson, Bradley Green, Renee Wong, Jonathan Krause, Jonathon Shlens, Ewa Dominowska, S. M. Ali Eslami, Katherine Chou, Claire Cui, Oriol Vinyals, Koray Kavukcuoglu, James Manyika, Jeff Dean, Demis Hassabis, Yossi Matias, Dale R. Webster, Joelle K. Barral, Greg Corrado, Christopher Semturs, S. Sara Mahdavi, Juraj Gottweis, Alan Karthikesalingam, Vivek Natarajan
Capabilities of Gemini Models in Medicine. CoRR (2024)
Irina Jurenka, Markus Kunesch, Kevin R. McKee, Daniel Gillick, Shaojian Zhu, Sara Wiltberger, Shubham Milind Phal, Katherine L. Hermann, Daniel Kasenberg, Avishkar Bhoopchand, Ankit Anand, Miruna Pîslar, Stephanie Chan, Lisa Wang, Jennifer She, Parsa Mahmoudieh, Aliya Rysbek, Wei-Jen Ko, Andrea Huber, Brett Wiltshire, Gal Elidan, Roni Rabin, Jasmin Rubinovitz, Amit Pitaru, Mac McAllister, Julia Wilkowski, David Choi, Roee Engelberg, Lidan Hackmon, Adva Levin, Rachel Griffin, Michael Sears, Filip Bar, Mia Mesar, Mana Jabbour, Arslan Chaudhry, James Cohan, Sridhar Thiagarajan, Nir Levine, Ben Brown, Dilan Görür, Svetlana Grant, Rachel Hashimshoni, Laura Weidinger, Jieru Hu, Dawn Chen, Kuba Dolecki, Canfer Akbulut, Maxwell L. Bileschi, Laura Culp, Wen-Xin Dong, Nahema Marchal, Kelsie Van Deman, Hema Bajaj Misra, Michael Duah, Moran Ambar, Avi Caciularu, Sandra Lefdal, Christopher Summerfield, James An, Pierre-Alexandre Kamienny, Abhinit Mohdi, Theofilos Strinopoulous, Annie Hale, Wayne Anderson, Luis C. Cobo, Niv Efron, Muktha Ananda, Shakir Mohamed, Maureen Heymans, Zoubin Ghahramani, Yossi Matias, Ben Gomes, Lila Ibrahim
Towards Responsible Development of Generative AI for Education: An Evaluation-Driven Approach. CoRR (2024)
Arie Cattan, Alon Jacovi, Alex Fabrikant, Jonathan Herzig, Roee Aharoni, Hannah Rashkin, Dror Marcus, Avinatan Hassidim, Yossi Matias, Idan Szpektor, Avi Caciularu
Can Few-shot Work in Long-Context? Recycling the Context to Generate Demonstrations. CoRR (2024)
Yotam Intrator, Matan Halfon, Roman Goldenberg, Reut Tsarfaty, Matan Eyal, Ehud Rivlin, Yossi Matias, Natalie Aizenberg
Breaking the Language Barrier: Can Direct Inference Outperform Pre-Translation in Multilingual LLM Applications? CoRR (2024)
Justin Cosentino, Anastasiya Belyaeva, Xin Liu, Nicholas A. Furlotte, Zhun Yang, Chace Lee, Erik Schenck, Yojan Patel, Jian Cui, Logan Douglas Schneider, Robby Bryant, Ryan G. Gomes, Allen Jiang, Roy Lee, Yun Liu, Javier Perez Matos, Jameson K. Rogers, Cathy Speed, Shyam Tailor, Megan Walker, Jeffrey Yu, Tim Althoff, Conor Heneghan, John Hernandez, Mark Malhotra, Leor Stern, Yossi Matias, Gregory S. Corrado, Shwetak N. Patel, Shravya Shetty, Jiening Zhan, Shruthi Prabhakara, Daniel McDuff, Cory Y. McLean
Towards a Personal Health Large Language Model. CoRR (2024)
Sebastien Baur, Zaid Nabulsi, Wei-Hung Weng, Jake Garrison, Louis Blankemeier, Sam Fishman, Christina Chen, Sujay Kakarmath, Minyoi Maimbolwa, Nsala Sanjase, Brian Shuma, Yossi Matias, Gregory S. Corrado, Shwetak N. Patel, Shravya Shetty, Shruthi Prabhakara, Monde Muyoyeta, Diego Ardila
HeAR - Health Acoustic Representations. CoRR (2024)
Stephen R. Pfohl, Heather Cole-Lewis, Rory Sayres, Darlene Neal, Mercy Nyamewaa Asiedu, Awa Dieng, Nenad Tomasev, Qazi Mamunur Rashid, Shekoofeh Azizi, Negar Rostamzadeh, Liam G. McCoy, Leo Anthony Celi, Yun Liu, Mike Schaekermann, Alanna Walton, Alicia Parrish, Chirag Nagpal, Preeti Singh, Akeiylah Dewitt, Philip Andrew Mansfield, Sushant Prakash, Katherine A. Heller, Alan Karthikesalingam, Christopher Semturs, Joelle K. Barral, Greg Corrado, Yossi Matias, Jamila Smith-Loud, Ivor Horn, Karan Singhal
A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models. CoRR (2024)
Louis Blankemeier, Sebastien Baur, Wei-Hung Weng, Jake Garrison, Yossi Matias, Shruthi Prabhakara, Diego Ardila, Zaid Nabulsi
Optimizing Audio Augmentations for Contrastive Learning of Health-Related Acoustic Signals. CoRR (2023)
Wei-Hung Weng, Sebastien Baur, Mayank Daswani, Christina Chen, Lauren Harrell, Sujay Kakarmath, Mariam Jabara, Babak Behsaz, Cory Y. McLean, Yossi Matias, Gregory S. Corrado, Shravya Shetty, Shruthi Prabhakara, Yun Liu, Goodarz Danaei, Diego Ardila
Predicting Cardiovascular Disease Risk using Photoplethysmography and Deep Learning. CoRR (2023)
Dani Valevski, Danny Lumen, Yossi Matias, Yaniv Leviathan
Face0: Instantaneously Conditioning a Text-to-Image Model on a Face. SIGGRAPH Asia (2023)
Jeremy Lai, Faruk Ahmed, Supriya Vijay, Tiam Jaroensri, Jessica Loo, Saurabh Vyawahare, Saloni Agarwal, Fayaz Jamil, Yossi Matias, Gregory S. Corrado, Dale R. Webster, Jonathan Krause, Yun Liu, Po-Hsuan Cameron Chen, Ellery Wulczyn, David F. Steiner
Domain-specific optimization and diverse evaluation of self-supervised models for histopathology. CoRR (2023)
Tao Tu, Shekoofeh Azizi, Danny Driess, Mike Schaekermann, Mohamed Amin, Pi-Chuan Chang, Andrew Carroll, Chuck Lau, Ryutaro Tanno, Ira Ktena, Basil Mustafa, Aakanksha Chowdhery, Yun Liu, Simon Kornblith, David J. Fleet, Philip Andrew Mansfield, Sushant Prakash, Renee Wong, Sunny Virmani, Christopher Semturs, S. Sara Mahdavi, Bradley Green, Ewa Dominowska, Blaise Agüera y Arcas, Joelle K. Barral, Dale R. Webster, Gregory S. Corrado, Yossi Matias, Karan Singhal, Pete Florence, Alan Karthikesalingam, Vivek Natarajan
Towards Generalist Biomedical AI. CoRR (2023)
Shawn Xu, Lin Yang, Christopher Kelly, Marcin Sieniek, Timo Kohlberger, Martin Ma, Wei-Hung Weng, Attila Kiraly, Sahar Kazemzadeh, Zakkai Melamed, Jungyeon Park, Patricia Strachan, Yun Liu, Chuck Lau, Preeti Singh, Christina Chen, Mozziyar Etemadi, Sreenivasa Raju Kalidindi, Yossi Matias, Katherine Chou, Gregory S. Corrado, Shravya Shetty, Daniel Tse, Shruthi Prabhakara, Daniel Golden, Rory Pilgrim, Krish Eswaran, Andrew Sellergren
ELIXR: Towards a general purpose X-ray artificial intelligence system through alignment of large language models and radiology vision encoders. CoRR (2023)
Eyal Segalis, Dani Valevski, Danny Lumen, Yossi Matias, Yaniv Leviathan
A Picture is Worth a Thousand Words: Principled Recaptioning Improves Image Generation. CoRR (2023)
Oran Lang, Doron Yaya-Stupp, Ilana Traynis, Heather Cole-Lewis, Chloe R. Bennett, Courtney Lyles, Charles Lau, Christopher Semturs, Dale R. Webster, Gregory S. Corrado, Avinatan Hassidim, Yossi Matias, Yun Liu, Naama Hammel, Boris Babenko
Using generative AI to investigate medical imagery models and datasets. CoRR (2023)
Eyal Molad, Eliahu Horwitz, Dani Valevski, Alex Rav-Acha, Yossi Matias, Yael Pritch, Yaniv Leviathan, Yedid Hoshen
Dreamix: Video Diffusion Models are General Video Editors. CoRR (2023)
Dani Valevski, Matan Kalman, Eyal Molad, Eyal Segalis, Yossi Matias, Yaniv Leviathan
UniTune: Text-Driven Image Editing by Fine Tuning a Diffusion Model on a Single Image. ACM Trans. Graph. 42 (4) (2023)
David Stutz, Ali Taylan Cemgil, Abhijit Guha Roy, Tatiana Matejovicova, Melih Barsbey, Patricia Strachan, Mike Schaekermann, Jan Freyberg, Rajeev Rikhye, Beverly Freeman, Javier Perez Matos, Umesh Telang, Dale R. Webster, Yuan Liu, Gregory S. Corrado, Yossi Matias, Pushmeet Kohli, Yun Liu, Arnaud Doucet, Alan Karthikesalingam
Evaluating AI systems under uncertain ground truth: a case study in dermatology. CoRR (2023)
Daniel McDuff, Mike Schaekermann, Tao Tu, Anil Palepu, Amy Wang, Jake Garrison, Karan Singhal, Yash Sharma, Shekoofeh Azizi, Kavita Kulkarni, Le Hou, Yong Cheng, Yun Liu, S. Sara Mahdavi, Sushant Prakash, Anupam Pathak, Christopher Semturs, Shwetak N. Patel, Dale R. Webster, Ewa Dominowska, Juraj Gottweis, Joelle K. Barral, Katherine Chou, Gregory S. Corrado, Yossi Matias, Jake Sunshine, Alan Karthikesalingam, Vivek Natarajan
Towards Accurate Differential Diagnosis with Large Language Models. CoRR (2023)
Dani Valevski, Danny Wasserman, Yossi Matias, Yaniv Leviathan
Face0: Instantaneously Conditioning a Text-to-Image Model on a Face. CoRR (2023)
Yaniv Leviathan, Matan Kalman, Yossi Matias
Fast Inference from Transformers via Speculative Decoding. ICML (2023)
Karan Singhal, Tao Tu, Juraj Gottweis, Rory Sayres, Ellery Wulczyn, Le Hou, Kevin Clark, Stephen Pfohl, Heather Cole-Lewis, Darlene Neal, Mike Schaekermann, Amy Wang, Mohamed Amin, Sami Lachgar, Philip Andrew Mansfield, Sushant Prakash, Bradley Green, Ewa Dominowska, Blaise Agüera y Arcas, Nenad Tomasev, Yun Liu, Renee Wong, Christopher Semturs, S. Sara Mahdavi, Joelle K. Barral, Dale R. Webster, Gregory S. Corrado, Yossi Matias, Shekoofeh Azizi, Alan Karthikesalingam, Vivek Natarajan
Towards Expert-Level Medical Question Answering with Large Language Models. CoRR (2023)
Grey Nearing, Deborah Cohen, Vusumuzi Dube, Martin Gauch, Oren Gilon, Shaun Harrigan, Avinatan Hassidim, Frederik Kratzert, Asher Metzger, Sella Nevo, Florian Pappenberger, Christel Prudhomme, Guy Shalev, Shlomo Shenzis, Tadele Tekalign, Dana Weitzner, Yossi Matias
AI Increases Global Access to Reliable Flood Forecasts. CoRR (2023)
Dani Valevski, Matan Kalman, Yossi Matias, Yaniv Leviathan
UniTune: Text-Driven Image Editing by Fine Tuning an Image Generation Model on a Single Image. CoRR (2022)
Deborah Cohen, Moonkyung Ryu, Yinlam Chow, Orgad Keller, Ido Greenberg, Avinatan Hassidim, Michael Fink, Yossi Matias, Idan Szpektor, Craig Boutilier, Gal Elidan
Dynamic Planning in Open-Ended Dialogue using Reinforcement Learning. CoRR (2022)
Or Honovich, Roee Aharoni, Jonathan Herzig, Hagai Taitelbaum, Doron Kukliansky, Vered Cohen, Thomas Scialom, Idan Szpektor, Avinatan Hassidim, Yossi Matias
TRUE: Re-evaluating Factual Consistency Evaluation. CoRR (2022)
Liron David, Avinatan Hassidim, Yossi Matias, Moti Yung, Alon Ziv
Eddystone-EID: Secure and Private Infrastructural Protocol for BLE Beacons. IEEE Trans. Inf. Forensics Secur. 17 (2022)
Haim Kaplan, Yishay Mansour, Yossi Matias, Uri Stemmer
Differentially Private Learning of Geometric Concepts. SIAM J. Comput. 51 (4) (2022)
Or Honovich, Roee Aharoni, Jonathan Herzig, Hagai Taitelbaum, Doron Kukliansy, Vered Cohen, Thomas Scialom, Idan Szpektor, Avinatan Hassidim, Yossi Matias
TRUE: Re-evaluating Factual Consistency Evaluation. DialDoc@ACL (2022)
Avinatan Hassidim, Haim Kaplan, Yishay Mansour, Yossi Matias, Uri Stemmer
Adversarially Robust Streaming Algorithms via Differential Privacy. J. ACM 69 (6) (2022)
Or Honovich, Roee Aharoni, Jonathan Herzig, Hagai Taitelbaum, Doron Kukliansy, Vered Cohen, Thomas Scialom, Idan Szpektor, Avinatan Hassidim, Yossi Matias
TRUE: Re-evaluating Factual Consistency Evaluation. NAACL-HLT (2022)
Yaniv Leviathan, Matan Kalman, Yossi Matias
Fast Inference from Transformers via Speculative Decoding. CoRR (2022)
Liron David, Avinatan Hassidim, Yossi Matias, Moti Yung
Scaling up GAEN Pseudorandom Processes: Preparing for a More Extensive Pandemic. ESORICS (1) (2022)
Boris Babenko, Ilana Traynis, Christina Chen, Preeti Singh, Akib Uddin, Jorge Cuadros, Lauren P. Daskivich, April Y. Maa, Kim Ramasamy, Eugene Yu-Chuan Kang, Yossi Matias, Gregory S. Corrado, Lily Peng, Dale R. Webster, Christopher Semturs, Jonathan Krause, Avinash V. Varadarajan, Naama Hammel, Yun Liu
Discovering novel systemic biomarkers in photos of the external eye. CoRR (2022)
Karan Singhal, Shekoofeh Azizi, Tao Tu, S. Sara Mahdavi, Jason Wei, Hyung Won Chung, Nathan Scales, Ajay Kumar Tanwani, Heather Cole-Lewis, Stephen Pfohl, Perry Payne, Martin Seneviratne, Paul Gamble, Chris Kelly, Nathaneal Schärli, Aakanksha Chowdhery, Philip Andrew Mansfield, Blaise Agüera y Arcas, Dale R. Webster, Gregory S. Corrado, Yossi Matias, Katherine Chou, Juraj Gottweis, Nenad Tomasev, Yun Liu, Alvin Rajkomar, Joelle K. Barral, Christopher Semturs, Alan Karthikesalingam, Vivek Natarajan
Large Language Models Encode Clinical Knowledge. CoRR (2022)
Niv Giladi, Zvika Ben-Haim, Sella Nevo, Yossi Matias, Daniel Soudry
Physics-Aware Downsampling with Deep Learning for Scalable Flood Modeling. CoRR (2021)
Sella Nevo, Efrat Morin, Adi Gerzi Rosenthal, Asher Metzger, Chen Barshai, Dana Weitzner, Dafi Voloshin, Frederik Kratzert, Gal Elidan, Gideon Dror, Gregory Begelman, Grey Nearing, Guy Shalev, Hila Noga, Ira Shavitt, Liora Yuklea, Moriah Royz, Niv Giladi, Nofar Peled Levi, Ofir Reich, Oren Gilon, Ronnie Maor, Shahar Timnat, Tal Shechter, Vladimir Anisimov, Yotam Gigi, Yuval Levin, Zach Moshe, Zvika Ben-Haim, Avinatan Hassidim, Yossi Matias
Flood forecasting with machine learning models in an operational framework. CoRR (2021)
Vladimir Braverman, Avinatan Hassidim, Yossi Matias, Mariano Schain, Sandeep Silwal, Samson Zhou
Adversarial Robustness of Streaming Algorithms through Importance Sampling. NeurIPS (2021)
Vladimir Braverman, Avinatan Hassidim, Yossi Matias, Mariano Schain, Sandeep Silwal, Samson Zhou
Adversarial Robustness of Streaming Algorithms through Importance Sampling. CoRR (2021)
Shlomo Hoory, Amir Feder, Avichai Tendler, Sofia Erell, Alon Peled-Cohen, Itay Laish, Hootan Nakhost, Uri Stemmer, Ayelet Benjamini, Avinatan Hassidim, Yossi Matias
Learning and Evaluating a Differentially Private Pre-trained Language Model. EMNLP (Findings) (2021)
Niv Giladi, Zvika Ben-Haim, Sella Nevo, Yossi Matias, Daniel Soudry
Physics-Aware Downsampling with Deep Learning for Scalable Flood Modeling. NeurIPS (2021)
Tzvika Hartman, Michael D. Howell, Jeff Dean, Shlomo Hoory, Ronit Slyper, Itay Laish, Oren Gilon, Danny Vainstein, Greg Corrado, Katherine Chou, Ming Jack Po, Jutta Williams, Scott Ellis, Gavin Bee, Avinatan Hassidim, Rony Amira, Genady Beryozkin, Idan Szpektor, Yossi Matias
Customization scenarios for de-identification of clinical notes. BMC Medical Informatics Decis. Mak. 20 (1) (2020)
Idan Szpektor, Deborah Cohen, Gal Elidan, Michael Fink, Avinatan Hassidim, Orgad Keller, Sayali Kulkarni, Eran Ofek, Sagie Pudinsky, Asaf Revach, Shimi Salant, Yossi Matias
Dynamic Composition for Conversational Domain Exploration. WWW (2020)
Amir Feder, Danny Vainstein, Roni Rosenfeld, Tzvika Hartman, Avinatan Hassidim, Yossi Matias
Active deep learning to detect demographic traits in free-form clinical notes. J. Biomed. Informatics 107 (2020)
Avinatan Hassidim, Haim Kaplan, Yishay Mansour, Yossi Matias, Uri Stemmer
Adversarially Robust Streaming Algorithms via Differential Privacy. NeurIPS (2020)
Avinatan Hassidim, Haim Kaplan, Yishay Mansour, Yossi Matias, Uri Stemmer
Adversarially Robust Streaming Algorithms via Differential Privacy. CoRR (2020)
Daniel Freedman, Yochai Blau, Liran Katzir, Amit Aides, Ilan Shimshoni, Danny Veikherman, Tomer Golany, Ariel Gordon, Greg Corrado, Yossi Matias, Ehud Rivlin
Detecting Deficient Coverage in Colonoscopies. CoRR (2020)
Daniel Freedman, Yochai Blau, Liran Katzir, Amit Aides, Ilan Shimshoni, Danny Veikherman, Tomer Golany, Ariel Gordon, Greg Corrado, Yossi Matias, Ehud Rivlin
Detecting Deficient Coverage in Colonoscopies. IEEE Trans. Medical Imaging 39 (11) (2020)
Sella Nevo, Gal Elidan, Avinatan Hassidim, Guy Shalev, Oren Gilon, Grey Nearing, Yossi Matias
ML-based Flood Forecasting: Advances in Scale, Accuracy and Reach. CoRR (2020)
Yotam Gigi, Sella Nevo, Gal Elidan, Avinatan Hassidim, Yossi Matias, Ami Wiesel
Spectral Algorithm for Shared Low-rank Matrix Regressions. SAM (2020)
Haim Kaplan, Yishay Mansour, Yossi Matias, Uri Stemmer
Differentially Private Learning of Geometric Concepts. ICML (2019)
Eliav Buchnik, Edith Cohen, Avinatan Hassidim, Yossi Matias
Self-similar Epochs: Value in arrangement. ICML (2019)
Ido Cohn, Itay Laish, Genady Beryozkin, Gang Li, Izhak Shafran, Idan Szpektor, Tzvika Hartman, Avinatan Hassidim, Yossi Matias
Audio De-identification - a New Entity Recognition Task. NAACL-HLT (2) (2019)
Yotam Gigi, Ami Wiesel, Sella Nevo, Gal Elidan, Avinatan Hassidim, Yossi Matias
Spectral Algorithm for Low-rank Multitask Regression. CoRR (2019)
Sella Nevo, Vova Anisimov, Gal Elidan, Ran El-Yaniv, Pete Giencke, Yotam Gigi, Avinatan Hassidim, Zach Moshe, Mor Schlesinger, Guy Shalev, Ajai Tirumali, Ami Wiesel, Oleg Zlydenko, Yossi Matias
ML for Flood Forecasting at Scale. CoRR (2019)
Ido Cohn, Itay Laish, Genady Beryozkin, Gang Li, Izhak Shafran, Idan Szpektor, Tzvika Hartman, Avinatan Hassidim, Yossi Matias
Audio De-identification: A New Entity Recognition Task. CoRR (2019)
Yotam Gigi, Gal Elidan, Avinatan Hassidim, Yossi Matias, Zach Moshe, Sella Nevo, Guy Shalev, Ami Wiesel
Towards Global Remote Discharge Estimation: Using the Few to Estimate The Many. CoRR (2019)
Haim Kaplan, Yishay Mansour, Yossi Matias, Uri Stemmer
Differentially Private Learning of Geometric Concepts. CoRR (2019)
Joel Shor, Dotan Emanuel, Oran Lang, Omry Tuval, Michael P. Brenner, Julie Cattiau, Fernando Vieira, Maeve McNally, Taylor Charbonneau, Melissa Nollstadt, Avinatan Hassidim, Yossi Matias
Personalizing ASR for Dysarthric and Accented Speech with Limited Data. CoRR (2019)
Joel Shor, Dotan Emanuel, Oran Lang, Omry Tuval, Michael P. Brenner, Julie Cattiau, Fernando Vieira, Maeve McNally, Taylor Charbonneau, Melissa Nollstadt, Avinatan Hassidim, Yossi Matias
Personalizing ASR for Dysarthric and Accented Speech with Limited Data. INTERSPEECH (2019)
Eliav Buchnik, Edith Cohen, Avinatan Hassidim, Yossi Matias
LSH Microbatches for Stochastic Gradients: Value in Rearrangement. CoRR (2018)
Yossi Matias
Nowcasting with Google Trends. SPIRE (2013)
Yossi Matias
On Big Data Algorithmics. ESA (2012)
Assaf Ben-David, Omer Berkman, Yossi Matias, Sarvar Patel, Cem Paya, Moti Yung
Contextual OTP: Mitigating Emerging Man-in-the-Middle Attacks with Wireless Hardware Tokens. ACNS (2012)
Larisa Eidelman, Orit Hazzan, Tami Lapidot, Yossi Matias, Daniela Raijman, Michal Segalov
Mind the (gender) gap: can a two-hour visit to a hi-tech company change perceptions about computer science? Inroads 2 (3) (2011)
Maayan Roth, Assaf Ben-David, David Deutscher, Guy Flysher, Ilan Horn, Ari Leichtberg, Naty Leiser, Yossi Matias, Ron Merom
Suggesting friends using the implicit social graph. KDD (2010)
Noam Nisan, Jason Bayer, Deepak Chandra, Tal Franji, Robert Gardner, Yossi Matias, Neil Rhodes, Misha Seltzer, Danny Tom, Hal R. Varian, Dan Zigmond
Google's Auction for TV Ads. ICALP (2) (2009)
Yossi Matias
Cloud Computing - a new era in large scale information and data management systems. ADBIS (local proceedings) (2008)
Yossi Matias, Daniel Urieli
Optimal workload-based weighted wavelet synopses. Theor. Comput. Sci. 371 (3) (2007)
Yossi Matias, Ely Porat
Efficient pebbling for list traversal synopses with application to program rollback. Theor. Comput. Sci. 379 (3) (2007)
Yariv Matia, Yossi Matias
Calibration and Profile based Synopses Error Estimation and Synopses Reconciliation. ICDE (2007)
Yariv Matia, Yossi Matias, Leon Portman
-Synopses System. EDBT (2006)
Michael Furman, Yossi Matias, Ely Porat
LTS: The List-Traversal Synopses System. NGITS (2006)
Yossi Matias, Eran Segal, Jeffrey Scott Vitter
Efficient Bundle Sorting. SIAM J. Comput. 36 (2) (2006)
Yossi Matias
Trends in high performance analytics. SIGMOD Conference (2006)
Yossi Matias, Daniel Urieli
Inner-Product Based Wavelet Synopses for Range-Sum Queries. ESA (2006)
Yossi Matias, Leon Portman, Natasha Drukh
-Synopses System. EDBT (2006)
Natasha Drukh, Yariv Matia, Yossi Matias, Leon Portman
-xSynopses - a System for Run-Time Management of XML Synopses. NGITS (2006)
Yossi Matias, R. Refua
Delayed-dictionary compression for packet networks. INFOCOM (2005)
Yossi Matias, Daniel Urieli
Optimal Workload-Based Weighted Wavelet Synopses. ICDT (2005)
Yossi Matias
Data Streams and Data Synopses for Massive Data Sets. PKDD (2005)
Natasha Drukh, Neoklis Polyzotis, Minos N. Garofalakis, Yossi Matias
Fractional XSketch Synopses for XML Databases. XSym (2004)
Yossi Matias, Leon Portman
t-Synopses: A System for Run-Time Management of Remote Synopses. ICDE (2004)
Yossi Matias, Leon Portman
t-Synopses: A System for Run-Time Management of Remote Synopses. EDBT (2004)
Iftach Ragoler, Yossi Matias, Nimrod Aviram
Adaptive Probing and Communication in Sensor Networks. ADHOC-NOW (2004)
Yossi Matias, Jeffrey Scott Vitter, Wen-Chun Ni
Dynamic Generation of Discrete Random Variates. Theory Comput. Syst. 36 (4) (2003)
Yossi Matias, Ely Porat
Efficient Pebbling for List Traversal Synopses. ICALP (2003)
Yossi Matias, Ely Porat
Efficient pebbling for list traversal synopses CoRR (2003)
Saar Cohen, Yossi Matias
Spectral Bloom Filters. SIGMOD Conference (2003)
Noga Alon, Phillip B. Gibbons, Yossi Matias, Mario Szegedy
Tracking Join and Self-Join Sizes in Limited Storage. J. Comput. Syst. Sci. 64 (3) (2002)
Yossi Matias, Jeffrey Scott Vitter, Neal E. Young
Approximate Data Structures with Applications CoRR (2002)

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Yossi Matias