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Raya Horesh
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2020 – today
- 2024
- [c6]Weiyan Shi, Ryan Li, Yutong Zhang, Caleb Ziems, Sunny Yu, Raya Horesh, Rogério de Paula, Diyi Yang:
CultureBank: An Online Community-Driven Knowledge Base Towards Culturally Aware Language Technologies. EMNLP (Findings) 2024: 4996-5025 - [i5]Swapnaja Achintalwar, Adriana Alvarado Garcia, Ateret Anaby-Tavor, Ioana Baldini, Sara E. Berger, Bishwaranjan Bhattacharjee, Djallel Bouneffouf, Subhajit Chaudhury, Pin-Yu Chen, Lamogha Chiazor, Elizabeth M. Daly, Rogério Abreu de Paula, Pierre L. Dognin, Eitan Farchi, Soumya Ghosh, Michael Hind, Raya Horesh, George Kour, Ja Young Lee, Erik Miehling, Keerthiram Murugesan, Manish Nagireddy, Inkit Padhi, David Piorkowski, Ambrish Rawat, Orna Raz, Prasanna Sattigeri, Hendrik Strobelt, Sarathkrishna Swaminathan, Christoph Tillmann, Aashka Trivedi, Kush R. Varshney, Dennis Wei, Shalisha Witherspoon, Marcel Zalmanovici:
Detectors for Safe and Reliable LLMs: Implementations, Uses, and Limitations. CoRR abs/2403.06009 (2024) - [i4]Weiyan Shi, Ryan Li, Yutong Zhang, Caleb Ziems, Chunhua yu, Raya Horesh, Rogério Abreu de Paula, Diyi Yang:
CultureBank: An Online Community-Driven Knowledge Base Towards Culturally Aware Language Technologies. CoRR abs/2404.15238 (2024) - [i3]Kevin Gu, Eva Tuecke, Dmitriy Katz, Raya Horesh, David Alvarez-Melis, Mikhail Yurochkin:
CharED: Character-wise Ensemble Decoding for Large Language Models. CoRR abs/2407.11009 (2024) - 2023
- [c5]Muneeza Azmat, Malvern Madondo, Arun Bawa, Kelsey Dipietro, Raya Horesh, Michael Jacobs, Raghavan Srinivasan, Fearghal O'Donncha:
Forecasting Soil Moisture Using Domain Inspired Temporal Graph Convolution Neural Networks To Guide Sustainable Crop Management. IJCAI 2023: 5897-5905 - [i2]Malvern Madondo, Muneeza Azmat, Kelsey Dipietro, Raya Horesh, Michael Jacobs, Arun Bawa, Raghavan Srinivasan, Fearghal O'Donncha:
A SWAT-based Reinforcement Learning Framework for Crop Management. CoRR abs/2302.04988 (2023) - 2022
- [i1]Muneeza Azmat, Malvern Madondo, Kelsey Dipietro, Raya Horesh, Arun Bawa, Michael Jacobs, Raghavan Srinivasan, Fearghal O'Donncha:
Forecasting Soil Moisture Using Domain Inspired Temporal Graph Convolution Neural Networks To Guide Sustainable Crop Management. CoRR abs/2212.06565 (2022)
2010 – 2019
- 2016
- [c4]Raya Horesh, Kush R. Varshney, Jinfeng Yi:
Information retrieval, fusion, completion, and clustering for employee expertise estimation. IEEE BigData 2016: 1385-1393 - 2015
- [c3]Young M. Lee, Raya Horesh, Leo Liberti:
Simulation and optimization of energy efficient operation of HVAC system as demand response with distributed energy resources. WSC 2015: 991-999 - 2013
- [c2]Lianjun An, Young Tae Chae, Raya Horesh, Young M. Lee, Rui Zhang:
An inverse PDE-ODE model for studying building energy demand. WSC 2013: 1869-1880 - 2011
- [c1]Young M. Lee, Fei Liu, Lianjun An, Huijing Jiang, Chandra Reddy, Raya Horesh, Paul Nevill, Estepan Meliksetian, Pawan Chowdhary, Nat Mills, Young Tae Chae, Jane L. Snowdon, Jayant Kalagnanam, Joe Emberson, Al Paskevicous, Elliott Jeyaseelan, Robert Forest, Chris Cuthbert, Tony Cupido, Michael Bobker, Janine Belfast:
Modeling and simulation of building energy performance for portfolios of public buildings. WSC 2011: 915-927 - 2010
- [j2]Eldad Haber, Raya Horesh, Jan Modersitzki:
Numerical optimization for constrained image registration. Numer. Linear Algebra Appl. 17(2-3): 343-359 (2010)
2000 – 2009
- 2008
- [j1]Juan-Felipe P. J. Abascal, Simon R. Arridge, David Atkinson, Raya Horesh, Lorenzo Fabrizi, Marzia De Lucia, Lior Horesh, Richard H. Bayford, David S. Holder:
Use of anisotropic modelling in electrical impedance tomography; Description of method and preliminary assessment of utility in imaging brain function in the adult human head. NeuroImage 43(2): 258-268 (2008)
Coauthor Index
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last updated on 2024-11-15 20:37 CET by the dblp team
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