Anish Chakrabarty

According to our database1, Anish Chakrabarty authored at least 11 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Information preservation with wasserstein autoencoders: generation consistency and adversarial robustness.
Stat. Comput., October, 2025

Relation-Aware Slicing in Cross-Domain Alignment.
CoRR, July, 2025

On the Existence of Universal Simulators of Attention.
CoRR, June, 2025

2024
Enhancing Contrastive Clustering with Negative Pair-guided Regularization.
Trans. Mach. Learn. Res., 2024

On Robust Cross Domain Alignment.
CoRR, 2024

Fortifying Fully Convolutional Generative Adversarial Networks for Image Super-Resolution Using Divergence Measures.
CoRR, 2024

Lost in Translation: GANs' Inability to Generate Simple Probability Distributions.
Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

2023
Concurrent Density Estimation with Wasserstein Autoencoders: Some Statistical Insights.
CoRR, 2023

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


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