Anish Chakrabarty
According to our database1,
Anish Chakrabarty
authored at least 7 papers
between 2021 and 2024.
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2022
2023
2024
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Bibliography
2024
Fortifying Fully Convolutional Generative Adversarial Networks for Image Super-Resolution Using Divergence Measures.
CoRR, 2024
Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024
2023
Concurrent Density Estimation with Wasserstein Autoencoders: Some Statistical Insights.
CoRR, 2023
Proceedings of the International Conference on Machine Learning, 2023
2022
On Translation and Reconstruction Guarantees of the Cycle-Consistent Generative Adversarial Networks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
2021
Statistical Regeneration Guarantees of the Wasserstein Autoencoder with Latent Space Consistency.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021