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Publication search results
found 194 matches
- 2024
- Renee Mirka, David P. Williamson:
Max cut and semidefinite rank. Oper. Res. Lett. 53: 107067 (2024) - Sarah Faltaous, Julie R. Williamson, Marion Koelle, Max Pfeiffer, Jonas Keppel, Stefan Schneegass:
Understanding User Acceptance of Electrical Muscle Stimulation in Human-Computer Interaction. CHI 2024: 428:1-428:16 - Gabryel Mason-Williams, Fredrik Dahlqvist:
What Makes a Good Prune? Maximal Unstructured Pruning for Maximal Cosine Similarity. ICLR 2024 - Rohan Subramani, Marcus Williams, Max Heitmann, Halfdan Holm, Charlie Griffin, Joar Max Viktor Skalse:
On the Expressivity of Objective-Specification Formalisms in Reinforcement Learning. ICLR 2024 - Billy Jin, Nathan Klein, David P. Williamson:
A Lower Bound for the Max Entropy Algorithm for TSP. IPCO 2024: 238-251 - Florian 'Floyd' Mueller, Penny Kyburz, Julie R. Williamson, Corina Sas, Max L. Wilson, Phoebe O. Toups Dugas, Irina Shklovski:
Proceedings of the CHI Conference on Human Factors in Computing Systems, CHI 2024, Honolulu, HI, USA, May 11-16, 2024. ACM 2024 [contents] - Leonardo Castro-Gonzalez, Yi-Ling Chung, Hannak Rose Kirk, John Francis, Angus R. Williams, Pica Johansson, Jonathan Bright:
Cheap Learning: Maximising Performance of Language Models for Social Data Science Using Minimal Data. CoRR abs/2401.12295 (2024) - Tom Williams, Andrei Constantin:
Maximal Non-Kochen-Specker Sets and a Lower Bound on the Size of Kochen-Specker Sets. CoRR abs/2403.05230 (2024) - SIMA Team, Maria Abi Raad, Arun Ahuja, Catarina Barros, Frederic Besse, Andrew Bolt, Adrian Bolton, Bethanie Brownfield, Gavin Buttimore, Max Cant, Sarah Chakera, Stephanie C. Y. Chan, Jeff Clune, Adrian Collister, Vikki Copeman, Alex Cullum, Ishita Dasgupta, Dario de Cesare, Julia Di Trapani, Yani Donchev, Emma Dunleavy, Martin Engelcke, Ryan Faulkner, Frankie Garcia, Charles Gbadamosi, Zhitao Gong, Lucy Gonzalez, Kshitij Gupta, Karol Gregor, Arne Olav Hallingstad, Tim Harley, Sam Haves, Felix Hill, Ed Hirst, Drew A. Hudson, Jony Hudson, Steph Hughes-Fitt, Danilo J. Rezende, Mimi Jasarevic, Laura Kampis, Nan Rosemary Ke, Thomas Keck, Junkyung Kim, Oscar Knagg, Kavya Kopparapu, Andrew K. Lampinen, Shane Legg, Alexander Lerchner, Marjorie Limont, Yulan Liu, Maria Loks-Thompson, Joseph Marino, Kathryn Martin Cussons, Loic Matthey, Siobhan Mcloughlin, Piermaria Mendolicchio, Hamza Merzic, Anna Mitenkova, Alexandre Moufarek, Valéria Oliveira, Yanko Gitahy Oliveira, Hannah Openshaw, Renke Pan, Aneesh Pappu, Alex Platonov, Ollie Purkiss, David P. Reichert, John Reid, Pierre Harvey Richemond, Tyson Roberts, Giles Ruscoe, Jaume Sanchez Elias, Tasha Sandars, Daniel P. Sawyer, Tim Scholtes, Guy Simmons, Daniel Slater, Hubert Soyer, Heiko Strathmann, Peter Stys, Allison C. Tam, Denis Teplyashin, Tayfun Terzi, Davide Vercelli, Bojan Vujatovic, Marcus Wainwright, Jane X. Wang, Zhengdong Wang, Daan Wierstra, Duncan Williams, Nathaniel Wong, Sarah York, Nick Young:
Scaling Instructable Agents Across Many Simulated Worlds. CoRR abs/2404.10179 (2024) - Hannah Rose Kirk, Alexander Whitefield, Paul Röttger, Andrew M. Bean, Katerina Margatina, Juan Ciro, Rafael Mosquera, Max Bartolo, Adina Williams, He He, Bertie Vidgen, Scott A. Hale:
The PRISM Alignment Project: What Participatory, Representative and Individualised Human Feedback Reveals About the Subjective and Multicultural Alignment of Large Language Models. CoRR abs/2404.16019 (2024) - 2023
- Renee Mirka, David P. Williamson:
An Experimental Evaluation of Semidefinite Programming and Spectral Algorithms for Max Cut. ACM J. Exp. Algorithmics 28: 2.1:1-2.1:18 (2023) - Jürgen Landes, Soroush Rafiee Rad, Jon Williamson:
Determining Maximal Entropy Functions for Objective Bayesian Inductive Logic. J. Philos. Log. 52(2): 555-608 (2023) - Erdi Kara, George Zhang, Joseph J. Williams, Gonzalo Ferrandez-Quinto, Leviticus J. Rhoden, Maximilian Kim, J. Nathan Kutz, Aminur Rahman:
Deep learning based object tracking in walking droplet and granular intruder experiments. J. Real Time Image Process. 20(5): 86 (2023) - Travis Mandel, Mark Jimenez, Emily Risley, Taishi Nammoto, Rebekka Williams, Max Panoff, Meynard Ballesteros, Bobbie Suarez:
Detection confidence driven multi-object tracking to recover reliable tracks from unreliable detections. Pattern Recognit. 135: 109107 (2023) - Reuben Tate, Jai Moondra, Bryan Gard, Greg Mohler, Swati Gupta:
Warm-Started QAOA with Custom Mixers Provably Converges and Computationally Beats Goemans-Williamson's Max-Cut at Low Circuit Depths. Quantum 7: 1121 (2023) - Rebecca Ferguson, Hassan Khosravi, Vitomir Kovanovic, Olga Viberg, Ashish Aggarwal, Matthieu J. S. Brinkhuis, Simon Buckingham Shum, Lujie Karen Chen, Hendrik Drachsler, Valerie A. Guerrero, Michael Hanses, Caitlin Hayward, Ben Hicks, Ioana Jivet, Kirsty Kitto, René F. Kizilcec, Jason M. Lodge, Catherine A. Manly, Rebecca L. Matz, Michael Meaney, Xavier Ochoa, Brendan A. Schuetze, Marco Spruit, Max van Haastrecht, Anouschka van Leeuwen, Lars Van Rijn, Yi-Shan Tsai, Joshua Weidlich, Kimberly Williamson, Veronica X. Yan:
Aligning the Goals of Learning Analytics with its Research Scholarship: An Open Peer Commentary Approach. J. Learn. Anal. 10(2): 14-50 (2023) - Takehiro Ito, Yuni Iwamasa, Naonori Kakimura, Naoyuki Kamiyama, Yusuke Kobayashi, Shun-ichi Maezawa, Yuta Nozaki, Yoshio Okamoto, Kenta Ozeki:
Monotone Edge Flips to an Orientation of Maximum Edge-Connectivity à la Nash-Williams. ACM Trans. Algorithms 19(1): 6:1-6:22 (2023) - Nicolas M. Müller, Maximilian Burgert, Pascal Debus, Jennifer Williams, Philip Sperl, Konstantin Böttinger:
Protecting Publicly Available Data With Machine Learning Shortcuts. BMVC 2023: 685-698 - Ahmed Qureshi, Maximilian Balmus, Shaheim Ogbomo-Harmitt, Dmitry Nechipurenko, Fazoil Ataullakhanov, Gregory Y. H. Lip, Steven E. Williams, David Nordsletten, Oleg V. Aslanidi, Adelaide de Vecchi:
Modelling Blood Flow and Biochemical Reactions Underlying Thrombogenesis in Atrial Fibrillation. FIMH 2023: 435-444 - Bradley H. Theilman, James B. Aimone:
Goemans-Williamson MAXCUT approximation algorithm on Loihi. NICE 2023: 1-5 - Mark Mazumder, Colby R. Banbury, Xiaozhe Yao, Bojan Karlas, William Gaviria Rojas, Sudnya Frederick Diamos, Greg Diamos, Lynn He, Alicia Parrish, Hannah Rose Kirk, Jessica Quaye, Charvi Rastogi, Douwe Kiela, David Jurado, David Kanter, Rafael Mosquera, Will Cukierski, Juan Ciro, Lora Aroyo, Bilge Acun, Lingjiao Chen, Mehul Raje, Max Bartolo, Evan Sabri Eyuboglu, Amirata Ghorbani, Emmett D. Goodman, Addison Howard, Oana Inel, Tariq Kane, Christine R. Kirkpatrick, D. Sculley, Tzu-Sheng Kuo, Jonas W. Mueller, Tristan Thrush, Joaquin Vanschoren, Margaret Warren, Adina Williams, Serena Yeung, Newsha Ardalani, Praveen K. Paritosh, Ce Zhang, James Y. Zou, Carole-Jean Wu, Cody Coleman, Andrew Y. Ng, Peter Mattson, Vijay Janapa Reddi:
DataPerf: Benchmarks for Data-Centric AI Development. NeurIPS 2023 - Murat Moran, Pascal Lafourcade, Maxime Puys, David Williams:
An Introduction to Tools for Formal Analysis of Cryptographic Protocols. Handb. Formal Anal. Verification Cryptogr. 2023: 105-152 - Albrecht Schmidt, Kaisa Väänänen, Tesh Goyal, Per Ola Kristensson, Anicia Peters, Stefanie Mueller, Julie R. Williamson, Max L. Wilson:
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, CHI 2023, Hamburg, Germany, April 23-28, 2023. ACM 2023, ISBN 978-1-4503-9421-5 [contents] - Erdi Kara, George Zhang, Joseph J. Williams, Gonzalo Ferrandez-Quinto, Leviticus J. Rhoden, Maximilian Kim, J. Nathan Kutz, Aminur Rahman:
Deep Learning Based Object Tracking in Walking Droplet and Granular Intruder Experiments. CoRR abs/2302.05425 (2023) - Arjun Subramonian, Adina Williams, Maximilian Nickel, Yizhou Sun, Levent Sagun:
Weisfeiler and Lehman Go Measurement Modeling: Probing the Validity of the WL Test. CoRR abs/2307.05775 (2023) - Rohan Subramani, Marcus Williams, Max Heitmann, Halfdan Holm, Charlie Griffin, Joar Skalse:
On The Expressivity of Objective-Specification Formalisms in Reinforcement Learning. CoRR abs/2310.11840 (2023) - Nicolas M. Müller, Maximilian Burgert, Pascal Debus, Jennifer Williams, Philip Sperl, Konstantin Böttinger:
Protecting Publicly Available Data With Machine Learning Shortcuts. CoRR abs/2310.19381 (2023) - Billy Jin, Nathan Klein, David P. Williamson:
A Lower Bound for the Max Entropy Algorithm for TSP. CoRR abs/2311.01950 (2023) - 2022
- Marcus Williams Aquino de Carvalho, José Adson Oliveira Guedes da Cunha, Thaís Augusta Cunha de Oliveira Máximo:
Uma Proposta de Arquitetura de Observatório sobre a Saúde do Trabalhador da Saúde no Contexto da Covid-19. Braz. J. Inf. Syst. 15(1) (2022) - Albert Albesa-González, Maxime Froc, Oliver Williamson, Mark C. W. van Rossum:
Weight dependence in BCM leads to adjustable synaptic competition. J. Comput. Neurosci. 50(4): 431-444 (2022)
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