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Publication search results
found 222 matches
- 2024
- Jian Wang, Jack Chuang, Samuel Berweger, Camillo Gentile, Nada Golmie:
Toward Opportunistic Radar Sensing Using Millimeter-Wave Wi-Fi. IEEE Internet Things J. 11(1): 188-200 (2024) - Derek Long, Liam Eade, Matthew P. Sullivan, Katharina Dost, Samuel M. Meier-Menches, David C. Goldstone, Christian G. Hartinger, Jörg S. Wicker, Katerina Taskova:
AdductHunter: identifying protein-metal complex adducts in mass spectra. J. Cheminformatics 16(1): 15 (2024) - Tales H. A. Boratto, Camila Martins Saporetti, Samuel da Costa Alves Basilio, Alexandre A. Cury, Leonardo Goliatt:
Data-driven cymbal bronze alloy identification via evolutionary machine learning with automatic feature selection. J. Intell. Manuf. 35(1): 257-273 (2024) - Tsahi Hayat, Tal Samuel-Azran, Shira Goldberg, Yair Amichai-Hamburger:
Introversion-extraversion and online course satisfaction. Online Inf. Rev. 48(2): 409-424 (2024) - Erik Parkinson, Kate Wall, Jane Slagle, Daniel Treuhaft, Xander de la Bruere, Samuel Goldrup, Timothy Keith, Peter Call, Tyler J. Jarvis:
Chebyshev Subdivision and Reduction Methods for Solving Multivariable Systems of Equations. CoRR abs/2401.02114 (2024) - Lukas Heinrich, Tobias Golling, Michael Kagan, Samuel Klein, Matthew Leigh, Margarita Osadchy, John Andrew Raine:
Masked Particle Modeling on Sets: Towards Self-Supervised High Energy Physics Foundation Models. CoRR abs/2401.13537 (2024) - Arun G. Chandrasekhar, Paul Goldsmith-Pinkham, Tyler H. McCormick, Samuel Thau, Jerry Wei:
Non-robustness of diffusion estimates on networks with measurement error. CoRR abs/2403.05704 (2024) - Karthik Gajulapalli, Alexander Golovnev, Samuel King:
On the Power of Adaptivity for Function Inversion. Electron. Colloquium Comput. Complex. TR24: TR24-054 (2024) - 2023
- Samuel da Costa Alves Basilio, Fernando Ferrari Putti, Angélica Carvalho Cunha, Leonardo Goliatt:
An evolutionary-assisted machine learning model for global solar radiation prediction in Minas Gerais region, southeastern Brazil. Earth Sci. Informatics 16(3): 2049-2067 (2023) - Samuel Dutra Gollob, Mijaíl Jaén Mendoza, Bon Ho Brandon Koo, Esteban Centeno, Emir Augusto Vela, Ellen T. Roche:
A length-adjustable vacuum-powered artificial muscle for wearable physiotherapy assistance in infants. Frontiers Robotics AI 10 (2023) - Neeraj Varshney, Samuel Berweger, Jack Chuang, Steve Blandino, Jian Wang, Neha Pazare, Camillo Gentile, Nada Golmie:
Adaptive Channel-State-Information Feedback in Integrated Sensing and Communication Systems. IEEE Internet Things J. 10(24): 22469-22486 (2023) - Garrett A. Johnson, Scott K. Shriver, Samuel G. Goldberg:
Privacy and Market Concentration: Intended and Unintended Consequences of the GDPR. Manag. Sci. 69(10): 5695-5721 (2023) - Samuel Goldman, Jeremy Wohlwend, Martin Strazar, Guy Haroush, Ramnik J. Xavier, Connor W. Coley:
Annotating metabolite mass spectra with domain-inspired chemical formula transformers. Nat. Mac. Intell. 5(9): 965-979 (2023) - Samuel da Costa Alves Basilio, Camila Martins Saporetti, Leonardo Goliatt:
An interdependent evolutionary machine learning model applied to global horizontal irradiance modeling. Neural Comput. Appl. 35(16): 12099-12120 (2023) - Samuel Goldman, Maximino Aldana, Philippe Cluzel:
Resonant learning in scale-free networks. PLoS Comput. Biol. 19(2) (2023) - Minho Hwang, Jeffrey Ichnowski, Brijen Thananjeyan, Daniel Seita, Samuel Paradis, Danyal Fer, Thomas Low, Ken Goldberg:
Automating Surgical Peg Transfer: Calibration With Deep Learning Can Exceed Speed, Accuracy, and Consistency of Humans. IEEE Trans Autom. Sci. Eng. 20(2): 909-922 (2023) - Ethan Perez, Sam Ringer, Kamile Lukosiute, Karina Nguyen, Edwin Chen, Scott Heiner, Craig Pettit, Catherine Olsson, Sandipan Kundu, Saurav Kadavath, Andy Jones, Anna Chen, Benjamin Mann, Brian Israel, Bryan Seethor, Cameron McKinnon, Christopher Olah, Da Yan, Daniela Amodei, Dario Amodei, Dawn Drain, Dustin Li, Eli Tran-Johnson, Guro Khundadze, Jackson Kernion, James Landis, Jamie Kerr, Jared Mueller, Jeeyoon Hyun, Joshua Landau, Kamal Ndousse, Landon Goldberg, Liane Lovitt, Martin Lucas, Michael Sellitto, Miranda Zhang, Neerav Kingsland, Nelson Elhage, Nicholas Joseph, Noemí Mercado, Nova DasSarma, Oliver Rausch, Robin Larson, Sam McCandlish, Scott Johnston, Shauna Kravec, Sheer El Showk, Tamera Lanham, Timothy Telleen-Lawton, Tom Brown, Tom Henighan, Tristan Hume, Yuntao Bai, Zac Hatfield-Dodds, Jack Clark, Samuel R. Bowman, Amanda Askell, Roger Grosse, Danny Hernandez, Deep Ganguli, Evan Hubinger, Nicholas Schiefer, Jared Kaplan:
Discovering Language Model Behaviors with Model-Written Evaluations. ACL (Findings) 2023: 13387-13434 - Valeriia Cherepanova, Steven Reich, Samuel Dooley, Hossein Souri, John P. Dickerson, Micah Goldblum, Tom Goldstein:
A Deep Dive into Dataset Imbalance and Bias in Face Identification. AIES 2023: 229-247 - Reuben Dorent, Nazim Haouchine, Fryderyk Victor Kögl, Samuel Joutard, Parikshit Juvekar, Erickson Torio, Alexandra J. Golby, Sébastien Ourselin, Sarah F. Frisken, Tom Vercauteren, Tina Kapur, William M. Wells III:
Unified Brain MR-Ultrasound Synthesis Using Multi-modal Hierarchical Representations. MICCAI (10) 2023: 448-458 - Samuel Dooley, Rhea Sukthanker, John P. Dickerson, Colin White, Frank Hutter, Micah Goldblum:
Rethinking Bias Mitigation: Fairer Architectures Make for Fairer Face Recognition. NeurIPS 2023 - Samuel Goldman, John Bradshaw, Jiayi Xin, Connor W. Coley:
Prefix-Tree Decoding for Predicting Mass Spectra from Molecules. NeurIPS 2023 - Samuel Dutra Gollob, Ellen T. Roche:
Towards a Pump-Controlled, Propellant-Powered Pneumatic Source for Untethered Soft Robots: Modelling and Experiments. RoboSoft 2023: 1-8 - Heidi J. C. Ellis, Gregory W. Hislop, Michael Goldweber, Marcelo Pias, Samuel A. Rebelsky, Janice L. Pearce, Neil A. Gordon, Patti Ordonez:
Community Input into CS2023 Addendum Article on Computing for Social Good Education. SIGCSE (2) 2023: 1246 - Katrine Bjørner, Samuel Judson, Filip Cano Córdoba, Drew Goldman, Nicholas Shoemaker, Ruzica Piskac, Bettina Könighofer:
Formal XAI via Syntax-Guided Synthesis. AISoLA 2023: 119-137 - Deep Ganguli, Amanda Askell, Nicholas Schiefer, Thomas I. Liao, Kamile Lukosiute, Anna Chen, Anna Goldie, Azalia Mirhoseini, Catherine Olsson, Danny Hernandez, Dawn Drain, Dustin Li, Eli Tran-Johnson, Ethan Perez, Jackson Kernion, Jamie Kerr, Jared Mueller, Joshua Landau, Kamal Ndousse, Karina Nguyen, Liane Lovitt, Michael Sellitto, Nelson Elhage, Noemí Mercado, Nova DasSarma, Oliver Rausch, Robert Lasenby, Robin Larson, Sam Ringer, Sandipan Kundu, Saurav Kadavath, Scott Johnston, Shauna Kravec, Sheer El Showk, Tamera Lanham, Timothy Telleen-Lawton, Tom Henighan, Tristan Hume, Yuntao Bai, Zac Hatfield-Dodds, Ben Mann, Dario Amodei, Nicholas Joseph, Sam McCandlish, Tom Brown, Christopher Olah, Jack Clark, Samuel R. Bowman, Jared Kaplan:
The Capacity for Moral Self-Correction in Large Language Models. CoRR abs/2302.07459 (2023) - Samuel Goldman, John Bradshaw, Jiayi Xin, Connor W. Coley:
Prefix-tree Decoding for Predicting Mass Spectra from Molecules. CoRR abs/2303.06470 (2023) - Yuxuan Hu, Albert Lui, Mark Goldstein, Mukund Sudarshan, Andrea Tinsay, Cindy Tsui, Samuel Maidman, John Medamana, Neil Jethani, Aahlad Manas Puli, Vuthy Nguy, Yindalon Aphinyanaphongs, Nicholas Kiefer, Nathaniel Smilowitz, James Horowitz, Tania Ahuja, Glenn I Fishman, Judith Hochman, Stuart Katz, Samuel Bernard, Rajesh Ranganath:
A dynamic risk score for early prediction of cardiogenic shock using machine learning. CoRR abs/2303.12888 (2023) - Nicholas Walker, John Dagdelen, Kevin Cruse, Sanghoon Lee, Samuel Gleason, Alexander Dunn, Gerbrand Ceder, A. Paul Alivisatos, Kristin A. Persson, Anubhav Jain:
Extracting Structured Seed-Mediated Gold Nanorod Growth Procedures from Literature with GPT-3. CoRR abs/2304.13846 (2023) - Louise Axon, Dimitrios Panagiotakopoulos, Samuel Ayo, Carolina Sanchez-Hernandez, Yan Zong, Simon Brown, Lei Zhang, Michael Goldsmith, Sadie Creese, Weisi Guo:
Securing Autonomous Air Traffic Management: Blockchain Networks Driven by Explainable AI. CoRR abs/2304.14095 (2023) - Aik Rui Tan, Shingo Urata, Samuel Goldman, Johannes C. B. Dietschreit, Rafael Gómez-Bombarelli:
Single-model uncertainty quantification in neural network potentials does not consistently outperform model ensembles. CoRR abs/2305.01754 (2023)
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