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Publication search results
found 158 matches
- 2024
- Behzad Vahedi, Benjamin Lucas, Farnoush Banaei Kashani, Andrew P. Barrett, Walter N. Meier, Siri Jodha Singh Khalsa, Morteza Karimzadeh:
Partial Label Learning With Focal Loss for Sea Ice Classification Based on Ice Charts. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 13616-13633 (2024) - Brian Plancher, Sebastian Büttrich, Jeremy Ellis, Neena Goveas, Laila D. Kazimierski, Jesús Alfonso López Sotelo, Milan Lukic, Diego Mendez, Rosdiadee Nordin, Andrés Oliva Trevisan, Massimo Pavan, Manuel Roveri, Marcus Rüb, Jackline Tum, Marian Verhelst, Salah Abdeljabar, Segun Adebayo, Thomas Amberg, Halleluyah Aworinde, José Bagur, Gregg Barrett, Nabil Benamar, Bharat S. Chaudhari, Ronald Criollo, David Cuartielles, José A. Ferreira Filho, Solomon Gizaw, Evgeni Gousev, Alessandro Grande, Shawn Hymel, Peter Ing, Prashant Manandhar, Pietro Manzoni, Boris Murmann, Eric Pan, Rytis Paskauskas, Ermanno Pietrosemoli, Tales C. Pimenta, Marcelo Rovai, Marco Zennaro, Vijay Janapa Reddi:
TinyML4D: Scaling Embedded Machine Learning Education in the Developing World. AAAI Spring Symposia 2024: 508-515 - Chih-Pu Dai, Fengfeng Ke, Nuodi Zhang, Alex Barrett, Luke West, Saptarshi Bhowmik, Sherry A. Southerland, Xin Yuan:
Designing Conversational Agents to Support Student Teacher Learning in Virtual Reality Simulation: A Case Study. CHI Extended Abstracts 2024: 513:1-513:8 - Saptarshi Bhowmik, Luke West, Alex Barrett, Nuodi Zhang, Chih-Pu Dai, Zlatko Sokolikj, Sherry A. Southerland, Xin Yuan, Fengfeng Ke:
Evaluation of an LLM-Powered Student Agent for Teacher Training. EC-TEL (2) 2024: 68-74 - Carolus H. J. Kusters, T. G. W. Boers, Tim J. M. Jaspers, Martijn R. Jong, Rixta A. H. van Eijck van Heslinga, Albert J. de Groof, Jacques J. Bergman, Fons van der Sommen, Peter H. N. de With:
Optimizing Multi-expert Consensus for Classification and Precise Localization of Barrett's Neoplasia. CaPTion@MICCAI 2024: 83-92 - 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) - 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) - Anthony M. Barrett, Krystal Jackson, Evan R. Murphy, Nada Madkour, Jessica Newman:
Benchmark Early and Red Team Often: A Framework for Assessing and Managing Dual-Use Hazards of AI Foundation Models. CoRR abs/2405.10986 (2024) - Udayan Mandal, Guy Amir, Haoze Wu, Ieva Daukantas, Fletcher Lee Newell, Umberto J. Ravaioli, Baoluo Meng, Michael Durling, Milan Ganai, Tobey Shim, Guy Katz, Clark W. Barrett:
Formally Verifying Deep Reinforcement Learning Controllers with Lyapunov Barrier Certificates. CoRR abs/2405.14058 (2024) - Behzad Vahedi, Benjamin Lucas, Farnoush Banaei Kashani, Andrew P. Barrett, Walter N. Meier, Siri Jodha S. Khalsa, Morteza Karimzadeh:
Partial Label Learning with Focal Loss for Sea Ice Classification Based on Ice Charts. CoRR abs/2406.03645 (2024) - Udayan Mandal, Guy Amir, Haoze Wu, Ieva Daukantas, Fletcher Lee Newell, Umberto J. Ravaioli, Baoluo Meng, Michael Durling, Kerianne Hobbs, Milan Ganai, Tobey Shim, Guy Katz, Clark W. Barrett:
Safe and Reliable Training of Learning-Based Aerospace Controllers. CoRR abs/2407.07088 (2024) - Apurv Verma, Satyapriya Krishna, Sebastian Gehrmann, Madhavan Seshadri, Anu Pradhan, Tom Ault, Leslie Barrett, David Rabinowitz, John A. Doucette, NhatHai Phan:
Operationalizing a Threat Model for Red-Teaming Large Language Models (LLMs). CoRR abs/2407.14937 (2024) - 2023
- Haniel Barbosa, Clark W. Barrett, Byron Cook, Bruno Dutertre, Gereon Kremer, Hanna Lachnitt, Aina Niemetz, Andres Nötzli, Alex Ozdemir, Mathias Preiner, Andrew Reynolds, Cesare Tinelli, Yoni Zohar:
Generating and Exploiting Automated Reasoning Proof Certificates. Commun. ACM 66(10): 86-95 (2023) - Clark W. Barrett, Brad Boyd, Elie Bursztein, Nicholas Carlini, Brad Chen, Jihye Choi, Amrita Roy Chowdhury, Mihai Christodorescu, Anupam Datta, Soheil Feizi, Kathleen Fisher, Tatsunori Hashimoto, Dan Hendrycks, Somesh Jha, Daniel Kang, Florian Kerschbaum, Eric Mitchell, John C. Mitchell, Zulfikar Ramzan, Khawaja Shams, Dawn Song, Ankur Taly, Diyi Yang:
Identifying and Mitigating the Security Risks of Generative AI. Found. Trends Priv. Secur. 6(1): 1-52 (2023) - Anna Povzner, Prince Mahajan, Jason Gustafson, Jun Rao, Ismael Juma, Feng Min, Shriram Sridharan, Nikhil Bhatia, Gopi K. Attaluri, Adithya Chandra, Stanislav Kozlovski, Rajini Sivaram, Lucas Bradstreet, Bob Barrett, Dhruvil Shah, David Jacot, David Arthur, Manveer Chawla, Ron Dagostino, Colin Mccabe, Manikumar Reddy Obili, Kowshik Prakasam, Jose Garcia Sancio, Vikas Singh, Alok Nikhil, Kamal Gupta:
Kora: A Cloud-Native Event Streaming Platform for Kafka. Proc. VLDB Endow. 16(12): 3822-3834 (2023) - Mark R. Salvatore, John E. Barrett, Laura E. Fackrell, Eric R. Sokol, Joseph S. Levy, Lily C. Kuentz, Michael Gooseff, Byron J. Adams, Sarah N. Power, J. Paul Knightly, Haley M. Matul, Brian Szutu, Peter T. Doran:
The Distribution of Surface Soil Moisture over Space and Time in Eastern Taylor Valley, Antarctica. Remote. Sens. 15(12): 3170 (2023) - Stephen L. Dorton, Emily Barrett, Theresa Fersch, Andrew Langone, Kelly J. Neville:
RAD-XP: Tabletop Exercises for Eliciting Resilience Requirements for Sociotechnical Systems. Syst. 11(10): 487 (2023) - Kalhan Koul, Jackson Melchert, Kavya Sreedhar, Leonard Truong, Gedeon Nyengele, Keyi Zhang, Qiaoyi Liu, Jeff Setter, Po-Han Chen, Yuchen Mei, Maxwell Strange, Ross Daly, Caleb Donovick, Alex Carsello, Taeyoung Kong, Kathleen Feng, Dillon Huff, Ankita Nayak, Rajsekhar Setaluri, James Thomas, Nikhil Bhagdikar, David Durst, Zachary Myers, Nestan Tsiskaridze, Stephen Richardson, Rick Bahr, Kayvon Fatahalian, Pat Hanrahan, Clark W. Barrett, Mark Horowitz, Christopher Torng, Fredrik Kjolstad, Priyanka Raina:
AHA: An Agile Approach to the Design of Coarse-Grained Reconfigurable Accelerators and Compilers. ACM Trans. Embed. Comput. Syst. 22(2): 35:1-35:34 (2023) - Jiazhou Liu, Barrett Ens, Arnaud Prouzeau, Jim Smiley, Isobel Kara Nixon, Sarah Goodwin, Tim Dwyer:
DataDancing: An Exploration of the Design Space For Visualisation View Management for 3D Surfaces and Spaces. CHI 2023: 379:1-379:17 - Aziz Niyazov, Barrett Ens, Kadek Ananta Satriadi, Nicolas Mellado, Loic Barthe, Tim Dwyer, Marcos Serrano:
User-Driven Constraints for Layout Optimisation in Augmented Reality. CHI 2023: 35:1-35:16 - T. G. W. Boers, Carolus H. J. Kusters, Kiki N. Fockens, Jelmer B. Jukema, Martijn R. Jong, Jeroen de Groof, Jacques J. Bergman, Fons van der Sommen, Peter H. N. de With:
Barrett's lesion detection using a minimal integer-based neural network for embedded systems integration. Medical Imaging: Computer-Aided Diagnosis 2023 - Carolus H. J. Kusters, T. G. W. Boers, Jelmer B. Jukema, Martijn R. Jong, Kiki N. Fockens, Albert J. de Groof, Jacques J. Bergman, Fons van der Sommen, Peter H. N. de With:
Real-time Barrett's neoplasia characterization in NBI videos using an int8-based quantized neural network. Medical Imaging: Computer-Aided Diagnosis 2023 - Kia Kirstein Hansen, Maria Barrett, Max Müller-Eberstein, Cathrine Damgaard, Trine Eriksen, Rob van der Goot:
DanTok: Domain Beats Language for Danish Social Media POS Tagging. NoDaLiDa 2023: 271-279 - Deepraj Soni, Mohammed Nabeel, Ramesh Karri, Michail Maniatakos:
Optimizing Constrained-Modulus Barrett Multiplier for Power and Flexibility. VLSI-SoC 2023: 1-6 - Emily Barrett, Kelly J. Neville, Lisa Weinstein Billman, Theresa Fersch, Valerie J. Gawron, Emily S. Patterson, Eric S. Vorm:
The Use of Simulation to Improve Trust and Adoption of Autonomy and AI in High-Consequence Work Systems. WSC 2023: 671-685 - Nan Rosemary Ke, Sara-Jane Dunn, Jörg Bornschein, Silvia Chiappa, Mélanie Rey, Jean-Baptiste Lespiau, Albin Cassirer, Jane X. Wang, Theophane Weber, David G. T. Barrett, Matthew M. Botvinick, Anirudh Goyal, Michael Mozer, Danilo J. Rezende:
DiscoGen: Learning to Discover Gene Regulatory Networks. CoRR abs/2304.05823 (2023) - Jenna Kefeli, Ali Soroush, Courtney J. Diamond, Haley M. Zylberberg, Benjamin L. May, Julian A. Abrams, Chunhua Weng, Nicholas P. Tatonetti:
Large Language Models for Granularized Barrett's Esophagus Diagnosis Classification. CoRR abs/2308.08660 (2023) - Tamas David-Barrett:
Unbiased Library of k-regular, n-sized, Connected, Small Graphs. CoRR abs/2308.10109 (2023) - Clark W. Barrett, Brad Boyd, Ellie Burzstein, Nicholas Carlini, Brad Chen, Jihye Choi, Amrita Roy Chowdhury, Mihai Christodorescu, Anupam Datta, Soheil Feizi, Kathleen Fisher, Tatsunori Hashimoto, Dan Hendrycks, Somesh Jha, Daniel Kang, Florian Kerschbaum, Eric Mitchell, John C. Mitchell, Zulfikar Ramzan, Khawaja Shams, Dawn Song, Ankur Taly, Diyi Yang:
Identifying and Mitigating the Security Risks of Generative AI. CoRR abs/2308.14840 (2023) - Rafael Pires de Lima, Behzad Vahedi, Nick Hughes, Andrew P. Barrett, Walter N. Meier, Morteza Karimzadeh:
Enhancing sea ice segmentation in Sentinel-1 images with atrous convolutions. CoRR abs/2310.17122 (2023)
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