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Anish Chakrabarty
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2020 – today
- 2024
- [c4]Debanjan Dutta, Anish Chakrabarty, Swagatam Das:
Lost in Translation: GANs' Inability to Generate Simple Probability Distributions. Tiny Papers @ ICLR 2024 - [i3]Arkaprabha Basu, Kushal Bose, Sankha Subhra Mullick, Anish Chakrabarty, Swagatam Das:
Fortifying Fully Convolutional Generative Adversarial Networks for Image Super-Resolution Using Divergence Measures. CoRR abs/2404.06294 (2024) - 2023
- [c3]Shounak Datta, Sankha Subhra Mullick, Anish Chakrabarty, Swagatam Das:
Interval Bound Interpolation for Few-shot Learning with Few Tasks. ICML 2023: 7141-7166 - [i2]Anish Chakrabarty, Arkaprabha Basu, Swagatam Das:
Concurrent Density Estimation with Wasserstein Autoencoders: Some Statistical Insights. CoRR abs/2312.06591 (2023) - 2022
- [c2]Anish Chakrabarty, Swagatam Das:
On Translation and Reconstruction Guarantees of the Cycle-Consistent Generative Adversarial Networks. NeurIPS 2022 - 2021
- [c1]Anish Chakrabarty, Swagatam Das:
Statistical Regeneration Guarantees of the Wasserstein Autoencoder with Latent Space Consistency. NeurIPS 2021: 17098-17110 - [i1]Anish Chakrabarty, Swagatam Das:
Statistical Regeneration Guarantees of the Wasserstein Autoencoder with Latent Space Consistency. CoRR abs/2110.03995 (2021)
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last updated on 2024-07-27 16:42 CEST by the dblp team
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