دنبال کردن
Stefanie Jegelka
Stefanie Jegelka
TUM and MIT
ایمیل تأیید شده در mit.edu - صفحهٔ اصلی
عنوان
نقل شده توسط
نقل شده توسط
سال
How powerful are graph neural networks?‏
K Xu, W Hu, J Leskovec, S Jegelka‏
arXiv preprint arXiv:1810.00826, 2018‏
98462018
Representation learning on graphs with jumping knowledge networks‏
K Xu, C Li, Y Tian, T Sonobe, K Kawarabayashi, S Jegelka‏
International Conference on Machine Learning, 5453-5462, 2018‏
24562018
Deep metric learning via lifted structured feature embedding‏
H Oh Song, Y Xiang, S Jegelka, S Savarese‏
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016‏
21062016
Contrastive learning with hard negative samples‏
J Robinson, SJ Chuang, Ching-Yao, Suvrit Sra‏
International Conference on Learning Representations, 2021‏
9132021
Debiased contrastive learning‏
CY Chuang, J Robinson, YC Lin, A Torralba, S Jegelka‏
Advances in Neural Information Processing Systems 33, 2020‏
7122020
Max-value entropy search for efficient Bayesian optimization‏
Z Wang, S Jegelka‏
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017‏
5302017
Deep Metric Learning via Facility Location‏
HO Song, S Jegelka, V Rathod, K Murphy‏
CVPR, 2017‏
3882017
How neural networks extrapolate: From feedforward to graph neural networks‏
K Xu, M Zhang, J Li, SS Du, K Kawarabayashi, S Jegelka‏
arXiv preprint arXiv:2009.11848, 2020‏
3812020
Generalization and representational limits of graph neural networks‏
V Garg, S Jegelka, T Jaakkola‏
International Conference on Machine Learning, 3419-3430, 2020‏
3672020
What Can Neural Networks Reason About?‏
K Xu, J Li, M Zhang, SS Du, K Kawarabayashi, S Jegelka‏
arXiv preprint arXiv:1905.13211, 2019‏
3162019
Resnet with one-neuron hidden layers is a universal approximator‏
H Lin, S Jegelka‏
Advances in neural information processing systems 31, 6169-6178, 2018‏
2952018
On learning to localize objects with minimal supervision‏
HO Song, R Girshick, S Jegelka, J Mairal, Z Harchaoui, T Darrell‏
International Conference on Machine Learning (ICML), 2014‏
2912014
Submodularity beyond submodular energies: coupling edges in graph cuts‏
S Jegelka, J Bilmes‏
Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on …, 2011‏
2542011
Batched large-scale bayesian optimization in high-dimensional spaces‏
Z Wang, C Gehring, P Kohli, S Jegelka‏
International Conference on Artificial Intelligence and Statistics, 745-754, 2018‏
2472018
Weakly-supervised discovery of visual pattern configurations‏
HO Song, YJ Lee, S Jegelka, T Darrell‏
Advances in neural information processing systems 27, 1637-1645, 2014‏
1952014
Sign and Basis Invariant Networks for Spectral Graph Representation Learning‏
D Lim, J Robinson, L Zhao, T Smidt, S Sra, H Maron, S Jegelka‏
arXiv preprint arXiv:2202.13013, 2022‏
1642022
Distributionally robust optimization and generalization in kernel methods‏
M Staib, S Jegelka‏
Advances in Neural Information Processing Systems, 9134-9144, 2019‏
1642019
Adversarially robust optimization with gaussian processes‏
I Bogunovic, J Scarlett, S Jegelka, V Cevher‏
Advances in neural information processing systems 31, 5760-5770, 2018‏
1572018
Inorganic Materials Synthesis Planning with Literature-Trained Neural Networks‏
E Kim, Z Jensen, A van Grootel, K Huang, M Staib, S Mysore, HS Chang, ...‏
Journal of Chemical Information and Modeling 60 (3), 1194-1201, 2020‏
1522020
Fast semidifferential-based submodular function optimization‏
R Iyer, S Jegelka, J Bilmes‏
International Conference on Machine Learning (ICML), 2013‏
1502013
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مقاله‌ها 1–20