دنبال کردن
Debarghya Ghoshdastidar
Debarghya Ghoshdastidar
Technical University of Munich
ایمیل تأیید شده در cit.tum.de - صفحهٔ اصلی
عنوان
نقل شده توسط
نقل شده توسط
سال
Consistency of spectral hypergraph partitioning under planted partition model‏
D Ghoshdastidar, A Dukkipati‏
The Annals of Statistics 45 (1), 289-315, 2017‏
1122017
Consistency of spectral partitioning of uniform hypergraphs under planted partition model‏
D Ghoshdastidar, A Dukkipati‏
Advances in Neural Information Processing Systems 27, 2014‏
1072014
Two-sample Hypothesis Testing for Inhomogeneous Random Graphs‏
D Ghoshdastidar, M Gutzeit, A Carpentier, U von Luxburg‏
Annals of Statistics 48 (4), 2208-2229, 2020‏
692020
Two-sample tests for large random graphs using network statistics‏
D Ghoshdastidar, M Gutzeit, A Carpentier, U von Luxburg‏
Conference on Learning Theory (COLT) 65, 954-977, 2017‏
632017
A provable generalized tensor spectral method for uniform hypergraph partitioning‏
D Ghoshdastidar, A Dukkipati‏
International Conference on Machine Learning, 400-409, 2015‏
622015
Learning theory can (sometimes) explain generalisation in graph neural networks‏
P Esser, L Chennuru Vankadara, D Ghoshdastidar‏
Advances in Neural Information Processing Systems 34, 27043-27056, 2021‏
592021
Practical methods for graph two-sample testing‏
D Ghoshdastidar, U Von Luxburg‏
Advances in Neural Information Processing Systems 31, 2018‏
552018
Uniform hypergraph partitioning: Provable tensor methods and sampling techniques‏
D Ghoshdastidar, A Dukkipati‏
Journal of Machine Learning Research 18 (50), 1-41, 2017‏
552017
Comparison based nearest neighbor search‏
S Haghiri, D Ghoshdastidar, U von Luxburg‏
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2017‏
462017
Foundations of comparison-based hierarchical clustering‏
D Ghoshdastidar, M Perrot, U von Luxburg‏
Advances in neural information processing systems 32, 2019‏
382019
Spectral clustering using multilinear SVD: Analysis, approximations and applications‏
D Ghoshdastidar, A Dukkipati‏
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015‏
362015
HOLISMOKES-VII. Time-delay measurement of strongly lensed Type Ia supernovae using machine learning‏
S Huber, SH Suyu, D Ghoshdastidar, S Taubenberger, V Bonvin, ...‏
Astronomy & Astrophysics 658, A157, 2022‏
272022
Smoothed Functional Algorithms for Stochastic Optimization Using q-Gaussian Distributions‏
D Ghoshdastidar, A Dukkipati, S Bhatnagar‏
ACM Transactions on Modeling and Computer Simulation (TOMACS) 24 (3), 1-26, 2014‏
142014
On the optimality of kernels for high-dimensional clustering‏
LC Vankadara, D Ghoshdastidar‏
International conference on artificial intelligence and statistics, 2185-2195, 2020‏
132020
New insights into graph convolutional networks using neural tangent kernels‏
M Sabanayagam, P Esser, D Ghoshdastidar‏
arXiv preprint arXiv:2110.04060, 2021‏
102021
Near-optimal comparison based clustering‏
M Perrot, P Esser, D Ghoshdastidar‏
Advances in Neural Information Processing Systems 33, 19388-19399, 2020‏
102020
Mixture modeling with compact support distributions for unsupervised learning‏
A Dukkipati, D Ghoshdastidar, J Krishnan‏
2016 International Joint Conference on Neural Networks (IJCNN), 2706-2713, 2016‏
102016
q-Gaussian based smoothed functional algorithms for stochastic optimization‏
D Ghoshdastidar, A Dukkipati, S Bhatnagar‏
2012 IEEE International Symposium on Information Theory Proceedings, 1059-1063, 2012‏
102012
Causal forecasting: generalization bounds for autoregressive models‏
LC Vankadara, PM Faller, M Hardt, L Minorics, D Ghoshdastidar, ...‏
Uncertainty in Artificial Intelligence, 2002-2012, 2022‏
92022
Representation power of graph convolutions: Neural tangent kernel analysis‏
M Sabanayagam, P Esser, D Ghoshdastidar‏
82022
سیستم در حال حاضر قادر به انجام عملکرد نیست. بعداً دوباره امتحان کنید.
مقاله‌ها 1–20