Anish Chakrabarty

12 papers A* 3Journal 8Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Information preservation with wasserstein autoencoders: generation consistency and adversarial robustness.
Stat. Comput.
Anish Chakrabarty, Arkaprabha Basu, Swagatam Das
2025 J jnl
On the Existence of Universal Simulators of Attention.
CoRR
Debanjan Dutta, Faizanuddin Ansari, Anish Chakrabarty, Swagatam Das
2025 J jnl
Relation-Aware Slicing in Cross-Domain Alignment.
CoRR
Dhruv Sarkar, Aprameyo Chakrabartty, Anish Chakrabarty, Swagatam Das
2024 J jnl
Enhancing Contrastive Clustering with Negative Pair-guided Regularization.
Trans. Mach. Learn. Res.
Abhishek Kumar, Anish Chakrabarty, Sankha Subhra Mullick, Swagatam Das
2024 J jnl
Fortifying Fully Convolutional Generative Adversarial Networks for Image Super-Resolution Using Divergence Measures.
CoRR
Arkaprabha Basu, Kushal Bose, Sankha Subhra Mullick, Anish Chakrabarty, Swagatam Das
2024 — conf
Lost in Translation: GANs' Inability to Generate Simple Probability Distributions.
Tiny Papers @ ICLR
Debanjan Dutta, Anish Chakrabarty, Swagatam Das
2024 J jnl
On Robust Cross Domain Alignment.
CoRR
Anish Chakrabarty, Arkaprabha Basu, Swagatam Das
2023 J jnl
Concurrent Density Estimation with Wasserstein Autoencoders: Some Statistical Insights.
CoRR
Anish Chakrabarty, Arkaprabha Basu, Swagatam Das
2023 A* conf
Interval Bound Interpolation for Few-shot Learning with Few Tasks.
ICML
Shounak Datta, Sankha Subhra Mullick, Anish Chakrabarty, Swagatam Das
2022 A* conf
On Translation and Reconstruction Guarantees of the Cycle-Consistent Generative Adversarial Networks.
NeurIPS
Anish Chakrabarty, Swagatam Das
2021 A* conf
Statistical Regeneration Guarantees of the Wasserstein Autoencoder with Latent Space Consistency.
NeurIPS
Anish Chakrabarty, Swagatam Das
2021 J jnl
Statistical Regeneration Guarantees of the Wasserstein Autoencoder with Latent Space Consistency.
CoRR
Anish Chakrabarty, Swagatam Das