Anish Chakrabarty

According to our database, Anish Chakrabarty authored at least 6 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Fortifying Fully Convolutional Generative Adversarial Networks for Image Super-Resolution Using Divergence Measures.

Arkaprabha Basu, Kushal Bose, Sankha Subhra Mullick, Anish Chakrabarty, Swagatam Das

CoRR, 2024

Lost in Translation: GANs' Inability to Generate Simple Probability Distributions.

Debanjan Dutta, Anish Chakrabarty, Swagatam Das

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

2023

Concurrent Density Estimation with Wasserstein Autoencoders: Some Statistical Insights.

Anish Chakrabarty, Arkaprabha Basu, Swagatam Das

CoRR, 2023

Interval Bound Interpolation for Few-shot Learning with Few Tasks.

Shounak Datta, Sankha Subhra Mullick, Anish Chakrabarty, Swagatam Das

Proceedings of the International Conference on Machine Learning, 2023

2022

On Translation and Reconstruction Guarantees of the Cycle-Consistent Generative Adversarial Networks.

Anish Chakrabarty, Swagatam Das

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.

Anish Chakrabarty, Swagatam Das

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021