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Author search results
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- Daniel Goodman — disambiguation page
- Daniel Goodman 0001
aka: Daniel James Goodman
The University of Manchester, UK - Daniel Goodman 0002
London School of Economics, UK
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- Daniel G. Shapiro
aka: Daniel Goodman Shapiro - Daniel B. Goodman
Harvard Medical School, Boston, MA, USA - Danielle Goodman
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Publication search results
found 152 matches
- 2024
- Richard L. Bradshaw, Kensaku Kawamoto, Jemar R. Bather, Melody Goodman, Wendy Kohlmann, Daniel Chavez-Yenter, Molly Volkmar, Rachel Monahan, Kimberly A. Kaphingst, Guilherme Del Fiol:
Enhanced family history-based algorithms increase the identification of individuals meeting criteria for genetic testing of hereditary cancer syndromes but would not reduce disparities on their own. J. Biomed. Informatics 149: 104568 (2024) - Seth Goodman, Ariel BenYishay, Daniel M. Runfola:
Spatiotemporal Prediction of Conflict Fatality Risk Using Convolutional Neural Networks and Satellite Imagery. Remote. Sens. 16(18): 3411 (2024) - Nahid Nasiri, Katherine Isbister, Julie B. Schweitzer, Jared Borden, Peter S. Cottrell, Daniel Goodman Shapiro:
Extracting the Affective Content of Fidgeting in Adults with ADHD via Machine Learning and a Hand-held Soft Tangible Device. CHI Extended Abstracts 2024: 158:1-158:8 - Xi Chen, Josip Djolonga, Piotr Padlewski, Basil Mustafa, Soravit Changpinyo, Jialin Wu, Carlos Riquelme Ruiz, Sebastian Goodman, Xiao Wang, Yi Tay, Siamak Shakeri, Mostafa Dehghani, Daniel Salz, Mario Lucic, Michael Tschannen, Arsha Nagrani, Hexiang Hu, Mandar Joshi, Bo Pang, Ceslee Montgomery, Paulina Pietrzyk, Marvin Ritter, A. J. Piergiovanni, Matthias Minderer, Filip Pavetic, Austin Waters, Gang Li, Ibrahim Alabdulmohsin, Lucas Beyer, Julien Amelot, Kenton Lee, Andreas Peter Steiner, Yang Li, Daniel Keysers, Anurag Arnab, Yuanzhong Xu, Keran Rong, Alexander Kolesnikov, Mojtaba Seyedhosseini, Anelia Angelova, Xiaohua Zhai, Neil Houlsby, Radu Soricut:
On Scaling Up a Multilingual Vision and Language Model. CVPR 2024: 14432-14444 - Nicholas Clinton, Andreas Vollrath, Rémi D'Ánnunzio, Desheng Liu, Henry B. Glick, Adrià Descals, Alicia Sullivan, Oliver Guinan, Jacob Abramowitz, Fred Stolle, Chris Goodman, Tanya Birch, David Quinn, Olga Danylo, Tijs Lips, Daniel Coelho, Enikoe Bihari, Bryce W. Cronkite-Ratcliff, Ate Poortinga, Atena Haghighattalab, Evan Notman, Michael DeWitt, Aaron Yonas, Gennadii Donchyts, Devaja Shah, David Saah, Karis Tenneson, Nguyen Hanh Quyen, Megha Verma, Andrew Wilcox:
A community palm model. CoRR abs/2405.09530 (2024) - Aryaman Arora, Dan Jurafsky, Christopher Potts, Noah D. Goodman:
Bayesian scaling laws for in-context learning. CoRR abs/2410.16531 (2024) - 2023
- Adam Roberts, Hyung Won Chung, Gaurav Mishra, Anselm Levskaya, James Bradbury, Daniel Andor, Sharan Narang, Brian Lester, Colin Gaffney, Afroz Mohiuddin, Curtis Hawthorne, Aitor Lewkowycz, Alex Salcianu, Marc van Zee, Jacob Austin, Sebastian Goodman, Livio Baldini Soares, Haitang Hu, Sasha Tsvyashchenko, Aakanksha Chowdhery, Jasmijn Bastings, Jannis Bulian, Xavier Garcia, Jianmo Ni, Andrew Chen, Kathleen Kenealy, Kehang Han, Michelle Casbon, Jonathan H. Clark, Stephan Lee, Dan Garrette, James Lee-Thorp, Colin Raffel, Noam Shazeer, Marvin Ritter, Maarten Bosma, Alexandre Passos, Jeremy Maitin-Shepard, Noah Fiedel, Mark Omernick, Brennan Saeta, Ryan Sepassi, Alexander Spiridonov, Joshua Newlan, Andrea Gesmundo:
Scaling Up Models and Data with t5x and seqio. J. Mach. Learn. Res. 24: 377:1-377:8 (2023) - Mitchell Thomas, Elizabeth Tellman, Daniel E. Osgood, Ben DeVries, A. K. M. Saiful Islam, Michael S. Steckler, Maxwell C. Goodman, Maruf Billah:
A Framework to Assess Remote Sensing Algorithms for Satellite-Based Flood Index Insurance. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 2589-2604 (2023) - Xi Chen, Xiao Wang, Soravit Changpinyo, A. J. Piergiovanni, Piotr Padlewski, Daniel Salz, Sebastian Goodman, Adam Grycner, Basil Mustafa, Lucas Beyer, Alexander Kolesnikov, Joan Puigcerver, Nan Ding, Keran Rong, Hassan Akbari, Gaurav Mishra, Linting Xue, Ashish V. Thapliyal, James Bradbury, Weicheng Kuo:
PaLI: A Jointly-Scaled Multilingual Language-Image Model. ICLR 2023 - Xi Chen, Josip Djolonga, Piotr Padlewski, Basil Mustafa, Soravit Changpinyo, Jialin Wu, Carlos Riquelme Ruiz, Sebastian Goodman, Xiao Wang, Yi Tay, Siamak Shakeri, Mostafa Dehghani, Daniel Salz, Mario Lucic, Michael Tschannen, Arsha Nagrani, Hexiang Hu, Mandar Joshi, Bo Pang, Ceslee Montgomery, Paulina Pietrzyk, Marvin Ritter, A. J. Piergiovanni, Matthias Minderer, Filip Pavetic, Austin Waters, Gang Li, Ibrahim Alabdulmohsin, Lucas Beyer, Julien Amelot, Kenton Lee, Andreas Peter Steiner, Yang Li, Daniel Keysers, Anurag Arnab, Yuanzhong Xu, Keran Rong, Alexander Kolesnikov, Mojtaba Seyedhosseini, Anelia Angelova, Xiaohua Zhai, Neil Houlsby, Radu Soricut:
PaLI-X: On Scaling up a Multilingual Vision and Language Model. CoRR abs/2305.18565 (2023) - Xi Chen, Xiao Wang, Lucas Beyer, Alexander Kolesnikov, Jialin Wu, Paul Voigtlaender, Basil Mustafa, Sebastian Goodman, Ibrahim Alabdulmohsin, Piotr Padlewski, Daniel Salz, Xi Xiong, Daniel Vlasic, Filip Pavetic, Keran Rong, Tianli Yu, Daniel Keysers, Xiaohua Zhai, Radu Soricut:
PaLI-3 Vision Language Models: Smaller, Faster, Stronger. CoRR abs/2310.09199 (2023) - 2022
- Fernando Paolo, Tsu-ting Tim Lin, Ritwik Gupta, Bryce Goodman, Nirav Patel, Daniel Kuster, David Kroodsma, Jared Dunnmon:
xView3-SAR: Detecting Dark Fishing Activity Using Synthetic Aperture Radar Imagery. NeurIPS 2022 - Adam Roberts, Hyung Won Chung, Anselm Levskaya, Gaurav Mishra, James Bradbury, Daniel Andor, Sharan Narang, Brian Lester, Colin Gaffney, Afroz Mohiuddin, Curtis Hawthorne, Aitor Lewkowycz, Alex Salcianu, Marc van Zee, Jacob Austin, Sebastian Goodman, Livio Baldini Soares, Haitang Hu, Sasha Tsvyashchenko, Aakanksha Chowdhery, Jasmijn Bastings, Jannis Bulian, Xavier Garcia, Jianmo Ni, Andrew Chen, Kathleen Kenealy, Jonathan H. Clark, Stephan Lee, Dan Garrette, James Lee-Thorp, Colin Raffel, Noam Shazeer, Marvin Ritter, Maarten Bosma, Alexandre Passos, Jeremy Maitin-Shepard, Noah Fiedel, Mark Omernick, Brennan Saeta, Ryan Sepassi, Alexander Spiridonov, Joshua Newlan, Andrea Gesmundo:
Scaling Up Models and Data with t5x and seqio. CoRR abs/2203.17189 (2022) - Fernando Paolo, Tsu-ting Tim Lin, Ritwik Gupta, Bryce Goodman, Nirav Patel, Daniel Kuster, David Kroodsma, Jared Dunnmon:
xView3-SAR: Detecting Dark Fishing Activity Using Synthetic Aperture Radar Imagery. CoRR abs/2206.00897 (2022) - Xi Chen, Xiao Wang, Soravit Changpinyo, A. J. Piergiovanni, Piotr Padlewski, Daniel Salz, Sebastian Goodman, Adam Grycner, Basil Mustafa, Lucas Beyer, Alexander Kolesnikov, Joan Puigcerver, Nan Ding, Keran Rong, Hassan Akbari, Gaurav Mishra, Linting Xue, Ashish V. Thapliyal, James Bradbury, Weicheng Kuo, Mojtaba Seyedhosseini, Chao Jia, Burcu Karagol Ayan, Carlos Riquelme, Andreas Steiner, Anelia Angelova, Xiaohua Zhai, Neil Houlsby, Radu Soricut:
PaLI: A Jointly-Scaled Multilingual Language-Image Model. CoRR abs/2209.06794 (2022) - 2021
- Seth Carbon, Eric Douglass, Benjamin M. Good, Deepak R. Unni, Nomi L. Harris, Christopher J. Mungall, Siddartha Basu, Rex L. Chisholm, Robert J. Dodson, Eric Hartline, Petra Fey, Paul D. Thomas, Laurent-Philippe Albou, Dustin Ebert, Michael J. Kesling, Huaiyu Mi, Anushya Muruganujan, Xiaosong Huang, Tremayne Mushayahama, Sandra A. LaBonte, Deborah A. Siegele, Giulia Antonazzo, Helen Attrill, Nick H. Brown, Phani V. Garapati, Steven J. Marygold, Vitor Trovisco, Gilberto dos Santos, Kathleen Falls, Christopher J. Tabone, Pinglei Zhou, Joshua L. Goodman, Victor B. Strelets, Jim Thurmond, Penelope Garmiri, Rizwan Ishtiaq, Milagros Rodríguez-López, Marcio Luis Acencio, Martin Kuiper, Astrid Lægreid, Colin Logie, Ruth C. Lovering, Barbara Kramarz, Shirin C. C. Saverimuttu, Sandra M. Pinheiro, Heather Gunn, Renzhi Su, Katherine E. Thurlow, Marcus C. Chibucos, Michelle G. Giglio, Suvarna Nadendla, James B. Munro, Rebecca C. Jackson, Margaret J. Duesbury, Noemi del-Toro, Birgit H. M. Meldal, Kalpana Paneerselvam, Livia Perfetto, Pablo Porras, Sandra E. Orchard, Anjali Shrivastava, Hsin-Yu Chang, Robert D. Finn, Alex L. Mitchell, Neil D. Rawlings, Lorna J. Richardson, Amaia Sangrador-Vegas, Judith A. Blake, Karen R. Christie, Mary E. Dolan, Harold J. Drabkin, David P. Hill, Li Ni, Dmitry M. Sitnikov, Midori A. Harris, Stephen G. Oliver, Kim Rutherford, Valerie Wood, Jaqueline Hayles, Jürg Bähler, Elizabeth R. Bolton, Jeffrey DePons, Melinda R. Dwinell, G. Thomas Hayman, Mary L. Kaldunski, Anne E. Kwitek, Stanley J. F. Laulederkind, Cody Plasterer, Marek Tutaj, Mahima Vedi, Shur-Jen Wang, Peter D'Eustachio, Lisa Matthews, James P. Balhoff, Suzi A. Aleksander, Michael J. Alexander, J. Michael Cherry, Stacia R. Engel, Felix Gondwe, Kalpana Karra, Stuart R. Miyasato, Robert S. Nash, Matt Simison, Marek S. Skrzypek, Shuai Weng, Edith D. Wong, Marc Feuermann, Pascale Gaudet, Anne Morgat, Erica Bakker, Tanya Z. Berardini, Leonore Reiser, Shabari Subramaniam, Eva Huala, Cecilia N. Arighi, Andrea H. Auchincloss, Kristian B. Axelsen, Ghislaine Argoud-Puy, Alex Bateman, Marie-Claude Blatter, Emmanuel Boutet, Emily Bowler, Lionel Breuza, Alan J. Bridge, Ramona Britto, Hema Bye-A-Jee, Cristina Casals-Casas, Elisabeth Coudert, Paul Denny, Anne Estreicher, Maria Livia Famiglietti, George E. Georghiou, Arnaud Gos, Nadine Gruaz-Gumowski, Emma Hatton-Ellis, Chantal Hulo, Alexandr Ignatchenko, Florence Jungo, Kati Laiho, Philippe Le Mercier, Damien Lieberherr, Antonia Lock, Yvonne Lussi, Alistair MacDougall, Michele Magrane, Maria Jesus Martin, Patrick Masson, Darren A. Natale, Nevila Hyka-Nouspikel, Ivo Pedruzzi, Lucille Pourcel, Sylvain Poux, Sangya Pundir, Catherine Rivoire, Elena Speretta, Shyamala Sundaram, Nidhi Tyagi, Kate Warner, Rossana Zaru, Cathy H. Wu, Alexander D. Diehl, Juancarlos Chan, Christian A. Grove, Raymond Y. N. Lee, Hans-Michael Müller, Daniela Raciti, Kimberly Van Auken, Paul W. Sternberg, Matthew Berriman, Michael Paulini, Kevin L. Howe, Sibyl Gao, Adam Wright, Lincoln Stein, Douglas G. Howe, Sabrina Toro, Monte Westerfield, Pankaj Jaiswal, Laurel Cooper, Justin Elser:
The Gene Ontology resource: enriching a GOld mine. Nucleic Acids Res. 49(Database-Issue): D325-D334 (2021) - Seth Goodman, Ariel BenYishay, Daniel M. Runfola:
A convolutional neural network approach to predict non-permissive environments from moderate-resolution imagery. Trans. GIS 25(2): 674-691 (2021) - Zhengfeng Lai, Pranjali Vadlaputi, Daniel J. Tancredi, Meena Garg, Robert I. Koppel, Mera Goodman, Whitnee Hogan, Nicole Cresalia, Stephan Juergensen, Erlinda Manalo, Satyan Lakshminrusimha, Chen-Nee Chuah, Heather Siefkes:
Enhanced Critical Congenital Cardiac Disease Screening by Combining Interpretable Machine Learning Algorithms. EMBC 2021: 1403-1406 - Daniel Goodman, Adam Craig Pocock, Jason Peck, Guy L. Steele Jr.:
Vate: Runtime Adaptable Probabilistic Programming for Java. EuroMLSys@EuroSys 2021: 62-69 - Mike Wu, Milan Mosse, Chengxu Zhuang, Daniel Yamins, Noah D. Goodman:
Conditional Negative Sampling for Contrastive Learning of Visual Representations. ICLR 2021 - Alex Tamkin, Vincent Liu, Rongfei Lu, Daniel Fein, Colin Schultz, Noah D. Goodman:
DABS: a Domain-Agnostic Benchmark for Self-Supervised Learning. NeurIPS Datasets and Benchmarks 2021 - Daniel Goodman, Roni Haecki, Tim Harris:
Modeling memory bandwidth patterns on NUMA machines with performance counters. CoRR abs/2106.08026 (2021) - Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ B. Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, Erik Brynjolfsson, Shyamal Buch, Dallas Card, Rodrigo Castellon, Niladri S. Chatterji, Annie S. Chen, Kathleen Creel, Jared Quincy Davis, Dorottya Demszky, Chris Donahue, Moussa Doumbouya, Esin Durmus, Stefano Ermon, John Etchemendy, Kawin Ethayarajh, Li Fei-Fei, Chelsea Finn, Trevor Gale, Lauren E. Gillespie, Karan Goel, Noah D. Goodman, Shelby Grossman, Neel Guha, Tatsunori Hashimoto, Peter Henderson, John Hewitt, Daniel E. Ho, Jenny Hong, Kyle Hsu, Jing Huang, Thomas Icard, Saahil Jain, Dan Jurafsky, Pratyusha Kalluri, Siddharth Karamcheti, Geoff Keeling, Fereshte Khani, Omar Khattab, Pang Wei Koh, Mark S. Krass, Ranjay Krishna, Rohith Kuditipudi, et al.:
On the Opportunities and Risks of Foundation Models. CoRR abs/2108.07258 (2021) - Alex Tamkin, Vincent Liu, Rongfei Lu, Daniel Fein, Colin Schultz, Noah D. Goodman:
DABS: A Domain-Agnostic Benchmark for Self-Supervised Learning. CoRR abs/2111.12062 (2021) - 2020
- Francisco Fernández de Vega, Gustavo Olague, Daniel Lanza, Francisco Chávez de la O, Wolfgang Banzhaf, Erik D. Goodman, Jose Menendez-Clavijo, Axel Martinez:
Time and Individual Duration in Genetic Programming. IEEE Access 8: 38692-38713 (2020) - Julie Agapite, Laurent-Philippe Albou, Suzi A. Aleksander, Joanna Argasinska, Valerio Arnaboldi, Helen Attrill, Susan M. Bello, Judith A. Blake, Olin Blodgett, Yvonne M. Bradford, Carol J. Bult, Scott Cain, Brian R. Calvi, Seth Carbon, Juancarlos Chan, Wen J. Chen, J. Michael Cherry, Jae-Hyoung Cho, Karen R. Christie, Madeline A. Crosby, Jeff de Pons, Mary E. Dolan, Gilberto dos Santos, Barbara Dunn, Nathan A. Dunn, Anne E. Eagle, Dustin Ebert, Stacia R. Engel, David Fashena, Ken Frazer, Sibyl Gao, Felix Gondwe, Joshua L. Goodman, L. Sian Gramates, Christian A. Grove, Todd W. Harris, Marie-Claire Harrison, Douglas G. Howe, Kevin L. Howe, Sagar Jha, James A. Kadin, Thomas C. Kaufman, Patrick Kalita, Kalpana Karra, Ranjana Kishore, Stanley J. F. Laulederkind, Raymond Y. N. Lee, Kevin A. MacPherson, Steven J. Marygold, Beverley Matthews, Gillian H. Millburn, Stuart R. Miyasato, Sierra A. T. Moxon, Hans-Michael Müller, Christopher J. Mungall, Anushya Muruganujan, Tremayne Mushayahama, Robert S. Nash, Patrick Ng, Michael Paulini, Norbert Perrimon, Christian Pich, Daniela Raciti, Joel E. Richardson, Matthew Russell, Susan Russo Gelbart, Leyla Ruzicka, Kevin Schaper, Mary Shimoyama, Matt Simison, Cynthia L. Smith, David R. Shaw, Ajay Shrivatsav, Marek S. Skrzypek, Jennifer R. Smith, Paul W. Sternberg, Christopher J. Tabone, Paul D. Thomas, Jyothi Thota, Sabrina Toro, Monika Tomczuk, Marek Tutaj, Monika Tutaj, Jose-Maria Urbano, Kimberly Van Auken, Ceri E. Van Slyke, Shur-Jen Wang, Shuai Weng, Monte Westerfield, Gary Williams, Edith D. Wong, Adam Wright, Karen Yook:
Alliance of Genome Resources Portal: unified model organism research platform. Nucleic Acids Res. 48(Database-Issue): D650-D658 (2020) - Adam M. Smith, Daniel G. Shapiro:
Teaching Game AI as an Undergraduate Course in Computational Media. AAAI 2020: 13404-13411 - Daniel Hernández, Charles Takashi Toyin Gbadamosi, James Goodman, James Alfred Walker:
Metagame Autobalancing for Competitive Multiplayer Games. CoG 2020: 275-282 - Alex Tamkin, Dan Jurafsky, Noah D. Goodman:
Language Through a Prism: A Spectral Approach for Multiscale Language Representations. NeurIPS 2020 - Francisco Fernández de Vega, Gustavo Olague, Francisco Chávez de la O, Daniel Lanza, Wolfgang Banzhaf, Erik D. Goodman:
It is Time for New Perspectives on How to Fight Bloat in GP. CoRR abs/2005.00603 (2020)
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