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ORCIDYossi Matias
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- affiliation: Google, Tel Aviv, Israel
- affiliation (former): Tel Aviv University, Israel
- award (2019): ACM Paris Kanellakis Theory and Practice Award
- award (2005): Gödel Prize
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2020 – today
- 2024
[c95]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: 88:1-88:10- [c94]Yotam Intrator, Matan Halfon, Roman Goldenberg, Reut Tsarfaty, Matan Eyal, Ehud Rivlin, Yossi Matias, Natalia Aizenberg:
Breaking the Language Barrier: Can Direct Inference Outperform Pre-Translation in Multilingual LLM Applications? NAACL (Short Papers) 2024: 829-844 - [i49]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 abs/2401.05654 (2024) - [i48]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 abs/2402.15566 (2024) - [i47]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 abs/2402.18545 (2024) - [i46]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 abs/2403.02522 (2024) - [i45]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 abs/2403.04792 (2024) - [i44]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 abs/2403.12025 (2024) - [i43]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 abs/2404.18416 (2024) - [i42]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 abs/2405.03162 (2024) - [i41]Lior Shani, Aviv Rosenberg, Asaf B. 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 abs/2405.14655 (2024) - [i40]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 abs/2406.06474 (2024) - [i39]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 abs/2406.13632 (2024) - [i38]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 abs/2406.19578 (2024) - [i37]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 abs/2407.02711 (2024) - [i36]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 abs/2407.12687 (2024) - [i35]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: 1128 (2024) - 2023
- [j43]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): 128:1-128:10 (2023) - [c93]Yaniv Leviathan, Matan Kalman, Yossi Matias:
Fast Inference from Transformers via Speculative Decoding. ICML 2023: 19274-19286 - [c92]Dani Valevski, Danny Lumen, Yossi Matias, Yaniv Leviathan:
Face0: Instantaneously Conditioning a Text-to-Image Model on a Face. SIGGRAPH Asia 2023: 94:1-94:10 - [i34]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 abs/2302.01329 (2023) - [i33]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 abs/2305.05648 (2023) - [i32]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 abs/2305.09617 (2023) - [i31]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 abs/2306.00985 (2023) - [i30]Dani Valevski, Danny Wasserman, Yossi Matias, Yaniv Leviathan:
Face0: Instantaneously Conditioning a Text-to-Image Model on a Face. CoRR abs/2306.06638 (2023) - [i29]David Stutz, Ali Taylan Cemgil, Abhijit Guha Roy, Tatiana Matejovicova, Melih Barsbey, Patricia Strachan, Mike Schaekermann, Jan Freyberg, Rajeev V. 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 abs/2307.02191 (2023) - [i28]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 abs/2307.14334 (2023) - [i27]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 abs/2307.16104 (2023) - [i26]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 abs/2308.01317 (2023) - [i25]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 abs/2309.05843 (2023) - [i24]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 abs/2310.13259 (2023) - [i23]Eyal Segalis, Dani Valevski, Danny Lumen, Yossi Matias, Yaniv Leviathan:
A Picture is Worth a Thousand Words: Principled Recaptioning Improves Image Generation. CoRR abs/2310.16656 (2023) - [i22]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 abs/2312.00164 (2023) - 2022
- [j42]Avinatan Hassidim, Haim Kaplan, Yishay Mansour, Yossi Matias, Uri Stemmer:
Adversarially Robust Streaming Algorithms via Differential Privacy. J. ACM 69(6): 42:1-42:14 (2022) - [j41]Haim Kaplan, Yishay Mansour, Yossi Matias, Uri Stemmer:
Differentially Private Learning of Geometric Concepts. SIAM J. Comput. 51(4): 952-974 (2022) - [j40]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: 3877-3889 (2022) - [c91]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. DialDoc@ACL 2022: 161-175 - [c90]Liron David, Avinatan Hassidim, Yossi Matias, Moti Yung:
Scaling up GAEN Pseudorandom Processes: Preparing for a More Extensive Pandemic. ESORICS (1) 2022: 237-255 - [c89]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. NAACL-HLT 2022: 3905-3920 - [i21]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 abs/2204.04991 (2022) - [i20]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 abs/2207.08998 (2022) - [i19]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 abs/2208.02294 (2022) - [i18]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 abs/2210.09477 (2022) - [i17]Yaniv Leviathan, Matan Kalman, Yossi Matias:
Fast Inference from Transformers via Speculative Decoding. CoRR abs/2211.17192 (2022) - [i16]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 abs/2212.13138 (2022) - 2021
- [c88]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: 1178-1189 - [c87]Niv Giladi, Zvika Ben-Haim, Sella Nevo, Yossi Matias, Daniel Soudry:
Physics-Aware Downsampling with Deep Learning for Scalable Flood Modeling. NeurIPS 2021: 1378-1389 - [c86]Vladimir Braverman, Avinatan Hassidim, Yossi Matias, Mariano Schain, Sandeep Silwal, Samson Zhou:
Adversarial Robustness of Streaming Algorithms through Importance Sampling. NeurIPS 2021: 3544-3557 - [i15]Niv Giladi, Zvika Ben-Haim, Sella Nevo, Yossi Matias, Daniel Soudry:
Physics-Aware Downsampling with Deep Learning for Scalable Flood Modeling. CoRR abs/2106.07218 (2021) - [i14]Vladimir Braverman, Avinatan Hassidim, Yossi Matias, Mariano Schain, Sandeep Silwal, Samson Zhou:
Adversarial Robustness of Streaming Algorithms through Importance Sampling. CoRR abs/2106.14952 (2021) - [i13]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 abs/2111.02780 (2021) - 2020
- [j39]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: 103436 (2020) - [j38]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): 14 (2020) - [j37]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): 3451-3462 (2020) - [c85]Yotam Gigi, Sella Nevo, Gal Elidan, Avinatan Hassidim, Yossi Matias, Ami Wiesel:
Spectral Algorithm for Shared Low-rank Matrix Regressions. SAM 2020: 1-5 - [c84]Avinatan Hassidim, Haim Kaplan, Yishay Mansour, Yossi Matias, Uri Stemmer:
Adversarially Robust Streaming Algorithms via Differential Privacy. NeurIPS 2020 - [c83]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: 872-883 - [i12]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 abs/2001.08589 (2020) - [i11]Avinatan Hassidim, Haim Kaplan, Yishay Mansour, Yossi Matias, Uri Stemmer:
Adversarially Robust Streaming Algorithms via Differential Privacy. CoRR abs/2004.05975 (2020) - [i10]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 abs/2012.00671 (2020)
2010 – 2019
- 2019
- [c82]Eliav Buchnik, Edith Cohen, Avinatan Hassidim, Yossi Matias:
Self-similar Epochs: Value in arrangement. ICML 2019: 841-850 - [c81]Haim Kaplan, Yishay Mansour, Yossi Matias, Uri Stemmer:
Differentially Private Learning of Geometric Concepts. ICML 2019: 3233-3241 - [c80]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: 784-788 - [c79]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: 197-204 - [i9]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 abs/1901.00786 (2019) - [i8]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 abs/1901.09583 (2019) - [i7]Haim Kaplan, Yishay Mansour, Yossi Matias, Uri Stemmer:
Differentially Private Learning of Geometric Concepts. CoRR abs/1902.05017 (2019) - [i6]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 abs/1903.07037 (2019) - [i5]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 abs/1907.13511 (2019) - [i4]Yotam Gigi, Ami Wiesel, Sella Nevo, Gal Elidan, Avinatan Hassidim, Yossi Matias:
Spectral Algorithm for Low-rank Multitask Regression. CoRR abs/1910.12204 (2019) - 2018
- [i3]Eliav Buchnik, Edith Cohen, Avinatan Hassidim, Yossi Matias:
LSH Microbatches for Stochastic Gradients: Value in Rearrangement. CoRR abs/1803.05389 (2018) - 2013
- [c78]Yossi Matias:
Nowcasting with Google Trends. SPIRE 2013: 4 - 2012
- [c77]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: 30-47 - [c76]Yossi Matias:
On Big Data Algorithmics. ESA 2012: 1 - 2011
- [j36]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): 64-70 (2011) - 2010
- [c75]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: 233-242
2000 – 2009
- 2009
- [c74]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: 309-327 - [e2]Susanne Albers, Alberto Marchetti-Spaccamela, Yossi Matias, Sotiris E. Nikoletseas, Wolfgang Thomas:
Automata, Languages and Programming, 36th International Colloquium, ICALP 2009, Rhodes, Greece, July 5-12, 2009, Proceedings, Part I. Lecture Notes in Computer Science 5555, Springer 2009, ISBN 978-3-642-02926-4 [contents] - [e1]Susanne Albers, Alberto Marchetti-Spaccamela, Yossi Matias, Sotiris E. Nikoletseas, Wolfgang Thomas:
Automata, Languages and Programming, 36th Internatilonal Colloquium, ICALP 2009, Rhodes, Greece, July 5-12, 2009, Proceedings, Part II. Lecture Notes in Computer Science 5556, Springer 2009, ISBN 978-3-642-02929-5 [contents] - 2008
- [c73]Yossi Matias:
Cloud Computing - a new era in large scale information and data management systems. ADBIS (local proceedings) 2008: 2 - 2007
- [j35]Yossi Matias, Daniel Urieli:
Optimal workload-based weighted wavelet synopses. Theor. Comput. Sci. 371(3): 227-246 (2007) - [j34]Yossi Matias, Ely Porat:
Efficient pebbling for list traversal synopses with application to program rollback. Theor. Comput. Sci. 379(3): 418-436 (2007) - [c72]Yariv Matia, Yossi Matias:
Calibration and Profile based Synopses Error Estimation and Synopses Reconciliation. ICDE 2007: 446-455 - 2006
- [j33]Yossi Matias, Eran Segal, Jeffrey Scott Vitter:
Efficient Bundle Sorting. SIAM J. Comput. 36(2): 394-410 (2006) - [c71]Yossi Matias, Leon Portman, Natasha Drukh:
The Design and Architecture of the tau-Synopses System. EDBT 2006: 1088-1091 - [c70]Yariv Matia, Yossi Matias, Leon Portman:
Synopses Reconciliation Via Calibration in the tau-Synopses System. EDBT 2006: 1139-1142 - [c69]Yossi Matias, Daniel Urieli:
Inner-Product Based Wavelet Synopses for Range-Sum Queries. ESA 2006: 504-515 - [c68]Natasha Drukh, Yariv Matia, Yossi Matias, Leon Portman:
tau-xSynopses - a System for Run-Time Management of XML Synopses. NGITS 2006: 351-352 - [c67]Michael Furman, Yossi Matias, Ely Porat:
LTS: The List-Traversal Synopses System. NGITS 2006: 353-354 - [c66]Yossi Matias:
Trends in high performance analytics. SIGMOD Conference 2006: 720 - 2005
- [c65]Yossi Matias, Daniel Urieli:
Optimal Workload-Based Weighted Wavelet Synopses. ICDT 2005: 368-382 - [c64]Yossi Matias, R. Refua:
Delayed-dictionary compression for packet networks. INFOCOM 2005: 1443-1454 - [c63]Yossi Matias:
Data Streams and Data Synopses for Massive Data Sets. PKDD 2005: 8-9 - 2004
- [c62]Iftach Ragoler, Yossi Matias, Nimrod Aviram:
Adaptive Probing and Communication in Sensor Networks. ADHOC-NOW 2004: 280-293 - [c61]Yossi Matias, Leon Portman:
t-Synopses: A System for Run-Time Management of Remote Synopses. EDBT 2004: 865-867 - [c60]Yossi Matias, Leon Portman:
t-Synopses: A System for Run-Time Management of Remote Synopses. ICDE 2004: 864 - [c59]Natasha Drukh, Neoklis Polyzotis, Minos N. Garofalakis, Yossi Matias:
Fractional XSketch Synopses for XML Databases. XSym 2004: 189-203 - 2003
- [j32]Yossi Matias, Jeffrey Scott Vitter, Wen-Chun Ni:
Dynamic Generation of Discrete Random Variates. Theory Comput. Syst. 36(4): 329-358 (2003) - [c58]