Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox

Improved Representation Learning Through Tensorized Autoencoders


Dec 02, 2022
Pascal Mattia Esser, Satyaki Mukherjee, Mahalakshmi Sabanayagam, Debarghya Ghoshdastidar

Add code


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

A Revenue Function for Comparison-Based Hierarchical Clustering


Nov 29, 2022
Aishik Mandal, Michaël Perrot, Debarghya Ghoshdastidar

Add code

* 25 pages, 5 figures, 7 tables 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

A Consistent Estimator for Confounding Strength


Nov 03, 2022
Luca Rendsburg, Leena Chennuru Vankadara, Debarghya Ghoshdastidar, Ulrike von Luxburg

Add code

* 21 pages 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Representation Power of Graph Convolutions : Neural Tangent Kernel Analysis


Oct 18, 2022
Mahalakshmi Sabanayagam, Pascal Esser, Debarghya Ghoshdastidar

Add code


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Interpolation and Regularization for Causal Learning


Feb 18, 2022
Leena Chennuru Vankadara, Luca Rendsburg, Ulrike von Luxburg, Debarghya Ghoshdastidar

Add code


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Learning Theory Can (Sometimes) Explain Generalisation in Graph Neural Networks


Dec 07, 2021
Pascal Mattia Esser, Leena Chennuru Vankadara, Debarghya Ghoshdastidar

Add code

* 35th Conference on Neural Information Processing Systems (NeurIPS 2021) 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Causal Forecasting:Generalization Bounds for Autoregressive Models


Nov 18, 2021
Leena Chennuru Vankadara, Philipp Michael Faller, Lenon Minorics, Debarghya Ghoshdastidar, Dominik Janzing

Add code


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Recovery Guarantees for Kernel-based Clustering under Non-parametric Mixture Models


Oct 18, 2021
Leena Chennuru Vankadara, Sebastian Bordt, Ulrike von Luxburg, Debarghya Ghoshdastidar

Add code


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

New Insights into Graph Convolutional Networks using Neural Tangent Kernels


Oct 08, 2021
Mahalakshmi Sabanayagam, Pascal Esser, Debarghya Ghoshdastidar

Add code


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Graphon based Clustering and Testing of Networks: Algorithms and Theory


Oct 06, 2021
Mahalakshmi Sabanayagam, Leena Chennuru Vankadara, Debarghya Ghoshdastidar

Add code


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email
1
2
3
>>