Ruoxi Sun
Ruoxi Sun
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Learning to prompt for continual learning
Z Wang, Z Zhang, CY Lee, H Zhang, R Sun, X Ren, G Su, V Perot, J Dy, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Patterná…, 2022
Dualprompt: Complementary prompting for rehearsal-free continual learning
Z Wang, Z Zhang, S Ebrahimi, R Sun, H Zhang, CY Lee, X Ren, G Su, ...
European Conference on Computer Vision, 631-648, 2022
NeuroPAL: a multicolor atlas for whole-brain neuronal identification in C. elegans
E Yemini, A Lin, A Nejatbakhsh, E Varol, R Sun, GE Mena, ADT Samuel, ...
Cell 184 (1), 272-288. e11, 2021
Kohn-Sham equations as regularizer: Building prior knowledge into machine-learned physics
L Li, S Hoyer, R Pederson, R Sun, ED Cubuk, P Riley, K Burke
Physical review letters 126 (3), 036401, 2021
Towards understanding retrosynthesis by energy-based models
R Sun, H Dai, L Li, S Kearnes, B Dai
Advances in Neural Information Processing Systems 34, 10186-10194, 2021
Does gnn pretraining help molecular representation?
R Sun, H Dai, AW Yu
Advances in Neural Information Processing Systems 35, 12096-12109, 2022
Using a thousand optimization tasks to learn hyperparameter search strategies
L Metz, N Maheswaranathan, R Sun, CD Freeman, B Poole, ...
arXiv preprint arXiv:2002.11887, 2020
Sql-palm: Improved large language modeladaptation for text-to-sql
R Sun, SO Arik, H Nakhost, H Dai, R Sinha, P Yin, T Pfister
arXiv preprint arXiv:2306.00739, 2023
Combination use of ultrasound irradiation and ionic liquid in enzymatic isomerization of glucose to fructose
Y Wang, Y Pan, Z Zhang, R Sun, X Fang, D Yu
Process Biochemistry 47 (6), 976-982, 2012
Better zero-shot reasoning with self-adaptive prompting
X Wan, R Sun, H Dai, SO Arik, T Pfister
arXiv preprint arXiv:2305.14106, 2023
Reverse engineering learned optimizers reveals known and novel mechanisms
N Maheswaranathan, D Sussillo, L Metz, R Sun, J Sohl-Dickstein
Advances in Neural Information Processing Systems 34, 19910-19922, 2021
Statistical Atlas of C. elegans Neurons
E Varol, A Nejatbakhsh, R Sun, G Mena, E Yemini, O Hobert, L Paninski
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rdá…, 2020
Capabilities of gemini models in medicine
K Saab, T Tu, WH Weng, R Tanno, D Stutz, E Wulczyn, F Zhang, ...
arXiv preprint arXiv:2404.18416, 2024
Scalable approximate Bayesian inference for particle tracking data
R Sun, L Paninski
International Conference on Machine Learning, ICML 2018, 276253, 2018
Ultrasound-promoted Lipase-catalyzed Enantioselective Transesterification of (R,S)-Glycidol
B An, X Xie, E Xun, J Wang, R Sun, L Wang*, Z Wang*
Chemical Research in Chinese universities 27 ((5)), 845-849, 2011
Universal self-adaptive prompting
X Wan, R Sun, H Nakhost, H Dai, JM Eisenschlos, SO Arik, T Pfister
arXiv preprint arXiv:2305.14926, 2023
Scalable variational inference for super resolution microscopy
R Sun, E Archer, L Paninski
International Conference on Artificial Intelligence and Statistics (AISTATSá…, 2016
Effective large language model adaptation for improved grounding
X Ye, R Sun, SÍ Arik, T Pfister
arXiv preprint arXiv:2311.09533, 2023
Neural spline search for quantile probabilistic modeling
R Sun, CL Li, SÍ Arik, MW Dusenberry, CY Lee, T Pfister
Proceedings of the AAAI Conference on Artificial Intelligence 37 (8), 9927-9934, 2023
SQLPrompt: In-Context Text-to-SQL with Minimal Labeled Data
R Sun, SÍ Arik, R Sinha, H Nakhost, H Dai, P Yin, T Pfister
arXiv preprint arXiv:2311.02883, 2023
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