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Author search results
Exact matches
- Matt Hoffman — disambiguation page
- Matt Hoffman 0001
aka: Matthew Hoffman 0002, Matthew W. Hoffman
Google DeepMind, London, UK - Matt Hoffman 0002
aka: Matt S. Hoffman
Utah Health Information Network, Murray, UT, USA
Likely matches
- Matthew Hoffman 0001
aka: Matthew D. Hoffman, Matthew Douglas Hoffman
Adobe Research - Matthew J. Hoffman 0001
Rochester Institute of Technology, School of Mathematical Sciences / Center for Imaging Science, NY, USA - Matthias Hoffmann
- Matthew J. Hoffman 0002
Sandia National Laboratories, Albuquerque, NM, USA
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Publication search results
found 493 matches
- 2024
- Valentino Constantinou, Mark Hoffmann, Matthew Paterson, Ali Mezher, Brian Pak, Alexander Pertica, Emily Milne:
Leveraging Deep Learning for High-Resolution Optical Satellite Imagery From Low-Cost Small Satellite Platforms. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 6354-6365 (2024) - Matthew V. Law, Nnamdi Nwagwu, Amritansh Kwatra, Seo-Young Lee, Daniel M. Diangelis, Naifang Yu, Gonzalo Gonzalez-Pumariega, Amit Rajesh, Guy Hoffman:
Affinity Diagramming with a Robot. ACM Trans. Hum. Robot Interact. 13(1): 10:1-10:41 (2024) - Joseph Hoffman, Matthew Reil, Daniel H. Waters, Christopher K. W. Wong, Maciej S. Kumosa:
Evaluation of Strains in Dead-End Fittings of High-Temperature Low Sag Electrical Conductors Using FBG Sensors. IEEE Trans. Instrum. Meas. 73: 1-8 (2024) - Chaoyue Sun, Yiyang Liu, Christina Parisi, Rebecca Fisk-Hoffman, Marco Salemi, Ruogu Fang, Brandi Danforth, Mattia Prosperi, Simone Marini:
Learning on Forecasting HIV Epidemic Based on Individuals' Contact Networks. BIOSTEC (2) 2024: 103-111 - Tuan Anh Le, Pavel Sountsov, Matthew Douglas Hoffman, Ben Lee, Brian Patton, Rif A. Saurous:
Robust Inverse Graphics via Probabilistic Inference. ICML 2024 - Sandra Hoffmann, Isabelle Kuhlmann, Matthias Thimm:
Enhancing Abstract Argumentation Solvers with Machine Learning-Guided Heuristics: A Feasibility Study. RATIO 2024: 185-201 - Tuan Anh Le, Pavel Sountsov, Matthew D. Hoffman, Ben Lee, Brian Patton, Rif A. Saurous:
Robust Inverse Graphics via Probabilistic Inference. CoRR abs/2402.01915 (2024) - Feras Saad, Jacob Burnim, Colin Carroll, Brian Patton, Urs Köster, Rif A. Saurous, Matthew Hoffman:
Scalable Spatiotemporal Prediction with Bayesian Neural Fields. CoRR abs/2403.07657 (2024) - Matthias K. Hoffmann, Julian Mühlenhoff, Zhaoheng Ding, Thomas Sattel, Kathrin Flaßkamp:
An iterative closest point algorithm for marker-free 3D shape registration of continuum robots. CoRR abs/2405.15336 (2024) - Myungsoo Yoo, Giri Gopalan, Matthew J. Hoffman, Sophie Coulson, Holly Kyeore Han, Christopher K. Wikle, Trevor Hillebrand:
Uncertainty-enabled machine learning for emulation of regional sea-level change caused by the Antarctic Ice Sheet. CoRR abs/2406.17729 (2024) - Mihai Christodorescu, Ryan Craven, Soheil Feizi, Neil Gong, Mia Hoffmann, Somesh Jha, Zhengyuan Jiang, Mehrdad Saberi Kamarposhti, John C. Mitchell, Jessica Newman, Emelia Probasco, Yanjun Qi, Khawaja Shams, Matthew Turek:
Securing the Future of GenAI: Policy and Technology. CoRR abs/2407.12999 (2024) - Pier Giuseppe Sessa, Robert Dadashi, Léonard Hussenot, Johan Ferret, Nino Vieillard, Alexandre Ramé, Bobak Shahriari, Sarah Perrin, Abe Friesen, Geoffrey Cideron, Sertan Girgin, Piotr Stanczyk, Andrea Michi, Danila Sinopalnikov, Sabela Ramos, Amélie Héliou, Aliaksei Severyn, Matt Hoffman, Nikola Momchev, Olivier Bachem:
BOND: Aligning LLMs with Best-of-N Distillation. CoRR abs/2407.14622 (2024) - Morgane Rivière, Shreya Pathak, Pier Giuseppe Sessa, Cassidy Hardin, Surya Bhupatiraju, Léonard Hussenot, Thomas Mesnard, Bobak Shahriari, Alexandre Ramé, Johan Ferret, Peter Liu, Pouya Tafti, Abe Friesen, Michelle Casbon, Sabela Ramos, Ravin Kumar, Charline Le Lan, Sammy Jerome, Anton Tsitsulin, Nino Vieillard, Piotr Stanczyk, Sertan Girgin, Nikola Momchev, Matt Hoffman, Shantanu Thakoor, Jean-Bastien Grill, Behnam Neyshabur, Olivier Bachem, Alanna Walton, Aliaksei Severyn, Alicia Parrish, Aliya Ahmad, Allen Hutchison, Alvin Abdagic, Amanda Carl, Amy Shen, Andy Brock, Andy Coenen, Anthony Laforge, Antonia Paterson, Ben Bastian, Bilal Piot, Bo Wu, Brandon Royal, Charlie Chen, Chintu Kumar, Chris Perry, Chris Welty, Christopher A. Choquette-Choo, Danila Sinopalnikov, David Weinberger, Dimple Vijaykumar, Dominika Rogozinska, Dustin Herbison, Elisa Bandy, Emma Wang, Eric Noland, Erica Moreira, Evan Senter, Evgenii Eltyshev, Francesco Visin, Gabriel Rasskin, Gary Wei, Glenn Cameron, Gus Martins, Hadi Hashemi, Hanna Klimczak-Plucinska, Harleen Batra, Harsh Dhand, Ivan Nardini, Jacinda Mein, Jack Zhou, James Svensson, Jeff Stanway, Jetha Chan, Jin Peng Zhou, Joana Carrasqueira, Joana Iljazi, Jocelyn Becker, Joe Fernandez, Joost van Amersfoort, Josh Gordon, Josh Lipschultz, Josh Newlan, Ju-yeong Ji, Kareem Mohamed, Kartikeya Badola, Kat Black, Katie Millican, Keelin McDonell, Kelvin Nguyen, Kiranbir Sodhia, Kish Greene, Lars Lowe Sjösund, Lauren Usui, Laurent Sifre, Lena Heuermann, Leticia Lago, Lilly McNealus:
Gemma 2: Improving Open Language Models at a Practical Size. CoRR abs/2408.00118 (2024) - Mihai Christodorescu, Ryan Craven, Soheil Feizi, Neil Zhenqiang Gong, Mia Hoffmann, Somesh Jha, Zhengyuan Jiang, Mehrdad Saberi Kamarposhti, John C. Mitchell, Jessica Newman, Emelia Probasco, Yanjun Qi, Khawaja Shams, Matthew Turek:
Securing the Future of GenAI: Policy and Technology. IACR Cryptol. ePrint Arch. 2024: 855 (2024) - 2023
- Tim Wende, Anastasia Hoffmann, Cordula Scherlach, Johannes Kasper, Caroline Sander, Felix Arlt, Eric Dietel, Anika Stockert, Jürgen Meixensberger, Gordian Prasse:
Preserved White Matter Integrity and Recovery After Brain Tumor Surgery: A Prospective Pilot Study on the Frontal Aslant Tract. Brain Connect. 13(10): 589-597 (2023) - Shivaprakash Muruganandham, Alexander A. Robel, Matthew J. Hoffman, Stephen F. Price:
Statistical Generation of Ocean Forcing With Spatiotemporal Variability for Ice Sheet Models. Comput. Sci. Eng. 25(3): 30-41 (2023) - Irina Tezaur, Josefin Ahlkrona, Matthew J. Hoffman, Mauro Perego:
Computational Modeling of Ice Sheets and Glaciers. Comput. Sci. Eng. 25(3): 4-6 (2023) - Jerry Watkins, Max Carlson, Kyle Shan, Irina Tezaur, Mauro Perego, Luca Bertagna, Carolyn Kao, Matthew J. Hoffman, Stephen F. Price:
Performance portable ice-sheet modeling with MALI. Int. J. High Perform. Comput. Appl. 37(5): 600-625 (2023) - Anandghan Waghmare, Farshid Salemi Parizi, Jason S. Hoffman, Yuntao Wang, Matthew J. Thompson, Shwetak N. Patel:
GlucoScreen: A Smartphone-based Readerless Glucose Test Strip for Prediabetes Screening. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7(1): 30:1-30:20 (2023) - Xenia Specka, Daniel Martini, Claus Weiland, Daniel Arend, Senthold Asseng, Franziska Boehm, Til Feike, Juliane Fluck, David Gackstetter, Aida Gonzales-Mellado, Thomas Hartmann, Jan-Henrik Haunert, Florian Hoedt, Carsten Hoffmann, Patrick König, Matthias Lange, Stephan Lesch, Birte Lindstädt, Gunnar Lischeid, Markus Möller, Uwe Rascher, Jochen Christoph Reif, Markus Schmalzl, Matthias Senft, Ulrike Stahl, Nikolai Svoboda, Björn Usadel, Heidi Webber, Frank Ewert:
FAIRagro: Ein Konsortium in der Nationalen Forschungsdateninfrastruktur (NFDI) für Forschungsdaten in der Agrosystemforschung. Inform. Spektrum 46(1): 24-35 (2023) - Achim Guldner, Maximilian Hoffmann, Christian Lohr, Rüdiger Machhamer, Lukas Malburg, Marlies Morgen, Stephanie C. Rodermund, Florian Schäfer, Lars Schaupeter, Jens Schneider, Felix Theusch, Ralph Bergmann, Guido Dartmann, Norbert Kuhn, Stefan Naumann, Ingo J. Timm, Matthias Vette-Steinkamp, Benjamin Weyers:
A framework for AI-based self-adaptive cyber-physical process systems. it Inf. Technol. 65(3): 113-128 (2023) - Jörg Vorndran, Christoph Neuner, Roland Coras, Lucas Hoffmann, Simon Geffers, Jonas Honke, Jochen Herms, Sigrun Roeber, Hajo Hamer, Sebastian Brandner, Till Hartlieb, Tom Pieper, Manfred Kudernatsch, Christian G. Bien, Thilo Kalbhenn, Matthias Simon, Homa Adle-Biassette, Jesús Cienfuegos, Roberta Di Giacomo, Rita Garbelli, Hajime Miyata, Angelika Mühlebner, Savo Raicevic, Tuomas Rauramaa, Fabio Rogerio, Ingmar Blümcke, Samir Jabari:
A deep learning-based histopathology classifier for Focal Cortical Dysplasia. Neural Comput. Appl. 35(17): 12775-12792 (2023) - Filipe Gama, Maksym Shcherban, Matthias Rolf, Matej Hoffmann:
Goal-Directed Tactile Exploration for Body Model Learning Through Self-Touch on a Humanoid Robot. IEEE Trans. Cogn. Dev. Syst. 15(2): 419-433 (2023) - Matthias Schaufelberger, Christian Kaiser, Reinald Kühle, Andreas Wachter, Frederic Weichel, Niclas Hagen, Friedemann Ringwald, Urs Eisenmann, Jürgen Hoffmann, Michael Engel, Christian Freudlsperger, Werner Nahm:
3D-2D Distance Maps Conversion Enhances Classification of Craniosynostosis. IEEE Trans. Biomed. Eng. 70(11): 3156-3165 (2023) - Matthew D. Hoffman, Tuan Anh Le, Pavel Sountsov, Christopher Suter, Ben Lee, Vikash K. Mansinghka, Rif A. Saurous:
ProbNeRF: Uncertainty-Aware Inference of 3D Shapes from 2D Images. AISTATS 2023: 10425-10444 - Wagner Hoffmann, Andrew Lowe, Matt Wilson, Matthew M. Y. Kuo:
Investigation of Non-contact Electrodes for Electrocardiogram Monitoring. EMBC 2023: 1-4 - Folker Hoffmann, Hans Schily, Markus Krestel, Alexander Charlish, Matthew Ritchie, Hugh D. Griffiths:
Non-myopic Sensor Path Planning for Emitter Localization with a UAV. FUSION 2023: 1-8 - Barnett Yang, Matthew J. Hoffman, Nathanael J. K. Brown:
Bayesian Networks for Interpretable Cyberattack Detection. HICSS 2023: 1249-1258 - Feras Saad, Brian Patton, Matthew Douglas Hoffman, Rif A. Saurous, Vikash Mansinghka:
Sequential Monte Carlo Learning for Time Series Structure Discovery. ICML 2023: 29473-29489 - Artur Wysoczanski, Elsa D. Angelini, Yifei Sun, Benjamin M. Smith, Eric A. Hoffman, Karen Stukovsky, Matthew J. Budoff, Karol E. Watson, John Jeffrey Carr, Elizabeth C. Oelsner, R. Graham Barr, Andrew F. Laine:
Multi-View Cnn For Total Lung Volume Inference On Cardiac Computed Tomography. ISBI 2023: 1-5
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