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Author search results
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- Michael S. Phillips 0001
Massachusetts Institute of Technology, Spoken Language Systems Group, Cambridge, MA, USA - Michael D. Phillips
- Michael S. Phillips 0002
McGill University Genome Center, Montreal, Canada - Michael R. Phillips
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Publication search results
found 391 matches
- 2024
- Stephen C. Phillips, Stephen Taylor, Michael J. Boniface, Stefano Modafferi, Mike Surridge:
Automated Knowledge-Based Cybersecurity Risk Assessment of Cyber-Physical Systems. IEEE Access 12: 82482-82505 (2024) - Chengyue Wu, David A. Hormuth, Chase Christenson, Ryan T. Woodall, Michael R. A. Abdelmalik, William T. Phillips, Thomas J. R. Hughes, Andrew J. Brenner, Thomas E. Yankeelov:
Image-guided patient-specific optimization of catheter placement for convection-enhanced nanoparticle delivery in recurrent glioblastoma. Comput. Biol. Medicine 179: 108889 (2024) - Archit Rathore, Sunipa Dev, Jeff M. Phillips, Vivek Srikumar, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Wei Zhang, Bei Wang:
VERB: Visualizing and Interpreting Bias Mitigation Techniques Geometrically for Word Representations. ACM Trans. Interact. Intell. Syst. 14(1): 3:1-3:34 (2024) - Xiaoyi Cai, Siddharth Ancha, Lakshay Sharma, Philip R. Osteen, Bernadette Bucher, Stephen Phillips, Jiuguang Wang, Michael Everett, Nicholas Roy, Jonathan P. How:
EVORA: Deep Evidential Traversability Learning for Risk-Aware Off-Road Autonomy. IEEE Trans. Robotics 40: 3756-3777 (2024) - Theodore Papamarkou, Tolga Birdal, Michael M. Bronstein, Gunnar E. Carlsson, Justin Curry, Yue Gao, Mustafa Hajij, Roland Kwitt, Pietro Lio, Paolo Di Lorenzo, Vasileios Maroulas, Nina Miolane, Farzana Nasrin, Karthikeyan Natesan Ramamurthy, Bastian Rieck, Simone Scardapane, Michael T. Schaub, Petar Velickovic, Bei Wang, Yusu Wang, Guo-Wei Wei, Ghada Zamzmi:
Position: Topological Deep Learning is the New Frontier for Relational Learning. ICML 2024 - Angus Phillips, Hai-Dang Dau, Michael John Hutchinson, Valentin De Bortoli, George Deligiannidis, Arnaud Doucet:
Particle Denoising Diffusion Sampler. ICML 2024 - William Sokoloski, Cory Sivek, Arunachalam Somasundaram, Lakshika Udakandage, Kurt Phillips, Alexa Mahajan, Michael Juarez, Charles Edward Billingsley:
A Modernization of the DreamWorks Feather System. SIGGRAPH Talks 2024: 42 - Angus Phillips, Hai-Dang Dau, Michael John Hutchinson, Valentin De Bortoli, George Deligiannidis, Arnaud Doucet:
Particle Denoising Diffusion Sampler. CoRR abs/2402.06320 (2024) - Theodore Papamarkou, Tolga Birdal, Michael M. Bronstein, Gunnar E. Carlsson, Justin Curry, Yue Gao, Mustafa Hajij, Roland Kwitt, Pietro Liò, Paolo Di Lorenzo, Vasileios Maroulas, Nina Miolane, Farzana Nasrin, Karthikeyan Natesan Ramamurthy, Bastian Rieck, Simone Scardapane, Michael T. Schaub, Petar Velickovic, Bei Wang, Yusu Wang, Guo-Wei Wei, Ghada Zamzmi:
Position Paper: Challenges and Opportunities in Topological Deep Learning. CoRR abs/2402.08871 (2024) - 2023
- Michael McCarty, Jay Johnson, Bryan Richardson, Craig Rieger, Rafer Cooley, Jake Gentle, Bradley Rothwell, Tyler Phillips, Beverly Novak, Megan Culler, Brian J. Wright:
Cybersecurity Resilience Demonstration for Wind Energy Sites in Co-Simulation Environment. IEEE Access 11: 15297-15313 (2023) - Nick Strayer, Siwei Zhang, Lydia Yao, Tess Vessels, Cosmin Adrian Bejan, Ryan S. Hsi, Jana K. Shirey-Rice, Justin M. Balko, Douglas B. Johnson, Elizabeth J. Phillips, Alex Bick, Todd L. Edwards, Digna R. Velez Edwards, Jill M. Pulley, Quinn Stanton Wells, Michael R. Savona, Nancy J. Cox, Dan M. Roden, Douglas M. Ruderfer, Yaomin Xu:
Interactive network-based clustering and investigation of multimorbidity association matrices with associationSubgraphs. Bioinform. 39(1) (2023) - Abigail C. Dommer, Lorenzo Casalino, Fiona L. Kearns, Mia Rosenfeld, Nicholas Wauer, Surl-Hee Ahn, John Russo, A. Sofia F. Oliveira, Clare Morris, Anthony T. Bogetti, Anda Trifan, Alexander Brace, Terra Sztain, Austin Clyde, Heng Ma, S. Chakra Chennubhotla, Hyungro Lee, Matteo Turilli, Syma Khalid, Teresa Tamayo-Mendoza, Matthew Welborn, Anders S. Christensen, Daniel G. A. Smith, Zhuoran Qiao, Sai K. Sirumalla, Michael O'Connor, Frederick R. Manby, Anima Anandkumar, David J. Hardy, James C. Phillips, Abraham C. Stern, Josh Romero, David Clark, Mitchell Dorrell, Tom Maiden, Lei Huang, John D. McCalpin, Christopher J. Woods, Alan Gray, Matt Williams, Bryan Barker, Harinda Rajapaksha, Richard Pitts, Tom Gibbs, John E. Stone, Daniel M. Zuckerman, Adrian J. Mulholland, Thomas F. Miller III, Shantenu Jha, Arvind Ramanathan, Lillian T. Chong, Rommie E. Amaro:
#COVIDisAirborne: AI-enabled multiscale computational microscopy of delta SARS-CoV-2 in a respiratory aerosol. Int. J. High Perform. Comput. Appl. 37(1): 28-44 (2023) - Michael S. Phillips, Michael McInenly, Michael H. Hofmann, Nancy W. Hinman, Kimberley Warren-Rhodes, Edgard G. Rivera-Valentín, Nathalie A. Cabrol:
Salt Constructs in Paleo-Lake Basins as High-Priority Astrobiology Targets. Remote. Sens. 15(2): 314 (2023) - Alexander Yin, Russell Shomberg, Jason Noel, Michael Daeffler, Stephen Licht, Brennan T. Phillips:
Rapid Design and Production of Soft Actuators using Dynamic Modeling and Additive Manufacturing for Underwater Soft Actuators. ACC 2023: 137-144 - Chin-Chia Michael Yeh, Yan Zheng, Menghai Pan, Huiyuan Chen, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang, Jeff M. Phillips, Eamonn J. Keogh:
Sketching Multidimensional Time Series for Fast Discord Mining. IEEE Big Data 2023: 443-452 - Chin-Chia Michael Yeh, Huiyuan Chen, Xin Dai, Yan Zheng, Junpeng Wang, Vivian Lai, Yujie Fan, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang, Jeff M. Phillips:
An Efficient Content-based Time Series Retrieval System. CIKM 2023: 4909-4915 - Ashwin De Silva, Rahul Ramesh, Lyle H. Ungar, Marshall G. Hussain Shuler, Noah J. Cowan, Michael Platt, Chen Li, Leyla Isik, Seung-Eon Roh, Adam Charles, Archana Venkataraman, Brian Caffo, Javier J. How, Justus M. Kebschull, John W. Krakauer, Maxim Bichuch, Kaleab Alemayehu Kinfu, Eva Yezerets, Dinesh Jayaraman, Jong M. Shin, Soledad Villar, Ian Phillips, Carey E. Priebe, Thomas Hartung, Michael I. Miller, Jayanta Dey, Ningyuan Huang, Eric Eaton, Ralph Etienne-Cummings, Elizabeth L. Ogburn, Randal C. Burns, Onyema Osuagwu, Brett Mensh, Alysson R. Muotri, Julia Brown, Chris White, Weiwei Yang, Andrei A. Rusu, Timothy D. Verstynen, Konrad P. Kording, Pratik Chaudhari, Joshua T. Vogelstein:
Prospective Learning: Principled Extrapolation to the Future. CoLLAs 2023: 347-357 - Arun Raghuramu, Michael Liljenstam, Sonika Ujjwal, Utku Gülen, Greg Phillips, Zakaria Laaroussi, Leyli Karaçay:
Network Digital Twins: A Threat Analysis. ICC Workshops 2023: 733-739 - Prince Osei Aboagye, Yan Zheng, Jack Shunn, Chin-Chia Michael Yeh, Junpeng Wang, Zhongfang Zhuang, Huiyuan Chen, Liang Wang, Wei Zhang, Jeff M. Phillips:
Interpretable Debiasing of Vectorized Language Representations with Iterative Orthogonalization. ICLR 2023 - Scott Leo Renshaw, Samantha C. Phillips, Michael Miller Yoder, Kathleen M. Carley:
Pandemic Personas: Analyzing Identity Signals in COVID-19 Discourse on Twitter. SBP-BRiMS 2023: 316-325 - Chengyue Wu, David A. Hormuth, Chase Christenson, Ryan T. Woodall, Michael R. A. Abdelmalik, William T. Phillips, Thomas J. R. Hughes, Andrew J. Brenner, Thomas E. Yankeelov:
Optimized Patient-Specific Catheter Placement for Convection-Enhanced Nanoparticle Delivery in Recurrent Glioblastoma. SC Workshops 2023: 119-120 - Stephen Jolly, Graeme Phillipson, Michael Evans:
Old School: An 8K Multicamera Shoot to Create a Dataset for Computational Cinematography. IMX Workshops 2023: 76 - Craig Wright, Jack Allnutt, Rosie Campbell, Michael Evans, Stephen Jolly, Em Shotton, Susan Lechelt, Graeme Phillipson, Lianne Kerlin:
AI in Production: Video Analysis and Machine Learning for Expanded Live Events Coverage. IMX Workshops 2023: 77-78 - Chin-Chia Michael Yeh, Huiyuan Chen, Xin Dai, Yan Zheng, Junpeng Wang, Vivian Lai, Yujie Fan, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang, Jeff M. Phillips:
An Efficient Content-based Time Series Retrieval System. CoRR abs/2310.03919 (2023) - Johannes Jakubik, Sujit Roy, C. E. Phillips, Paolo Fraccaro, Denys Godwin, Bianca Zadrozny, Daniela Szwarcman, Carlos Gomes, Gabby Nyirjesy, Blair Edwards, Daiki Kimura, Naomi Simumba, Linsong Chu, S. Karthik Mukkavilli, Devyani Lambhate, Kamal Das, Ranjini Bangalore, Dário A. B. Oliveira, Michal Muszynski, Kumar Ankur, Muthukumaran Ramasubramanian, Iksha Gurung, Sam Khallaghi, Hanxi Li, Michael Cecil, Maryam Ahmadi, Fatemeh Kordi, Hamed Alemohammad, Manil Maskey, Raghu K. Ganti, Kommy Weldemariam, Rahul Ramachandran:
Foundation Models for Generalist Geospatial Artificial Intelligence. CoRR abs/2310.18660 (2023) - Chin-Chia Michael Yeh, Yan Zheng, Menghai Pan, Huiyuan Chen, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang, Jeff M. Phillips, Eamonn J. Keogh:
Sketching Multidimensional Time Series for Fast Discord Mining. CoRR abs/2311.03393 (2023) - Xiaoyi Cai, Siddharth Ancha, Lakshay Sharma, Philip R. Osteen, Bernadette Bucher, Stephen Phillips, Jiuguang Wang, Michael Everett, Nicholas Roy, Jonathan P. How:
EVORA: Deep Evidential Traversability Learning for Risk-Aware Off-Road Autonomy. CoRR abs/2311.06234 (2023) - 2022
- Michael Y. Lee, Jacob S. Bedia, Salil S. Bhate, Graham L. Barlow, Darci Phillips, Wendy J. Fantl, Garry P. Nolan, Christian M. Schürch:
CellSeg: a robust, pre-trained nucleus segmentation and pixel quantification software for highly multiplexed fluorescence images. BMC Bioinform. 23(1): 46 (2022) - Janet Vorobyeva, Daniel R. Delayo, Michael A. Bender, Martin Farach-Colton, Prashant Pandey, Cynthia A. Phillips, Shikha Singh, Eric D. Thomas, Thomas M. Kroeger:
Using advanced data structures to enable responsive security monitoring. Clust. Comput. 25(4): 2893-2914 (2022) - Jane Breen, Steve Butler, Melissa M. Fuentes, Bernard Lidický, Michael Phillips, Alexander Riasanovksy, Sung-Yell Song, Ralihe R. Villagrán, Cedar Wiseman, Xiaohong Zhang:
Hadamard Diagonalizable Graphs of Order at Most 36. Electron. J. Comb. 29(2) (2022)
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