41 citations · 81 across the 21 of their papers we have counts for
6 papers · 1 filter
Latent-Kernel Discrete Flow Maps for Few-Step Generation
Mansoor Ahmed, Yue-Tsz Fan, Hemanth Venkateswara +1
Discrete diffusion and flow-matching models denoise a sequence over many steps, but to keep each step cheap, they factorize the transition across positions and decide every token i…
CHIMERA-Bench: A Benchmark Dataset for Epitope-Specific Antibody Design
Mansoor Ahmed, Nadeem Taj, Imdad Ullah Khan +2
Computational antibody design has seen rapid methodological progress, with dozens of deep generative methods proposed in the past three years, yet the field lacks a standardized be…
Contrastive Deep Learning for Variant Detection in Wastewater Genomic Sequencing
Adele Chinda, Richmond Azumah, Hemanth Demakethepalli Venkateswara
Wastewater-based genomic surveillance has emerged as a powerful tool for population-level viral monitoring, offering comprehensive insights into circulating viral variants across e…
Domain-Invariant Feature Alignment Using Variational Inference For Partial Domain Adaptation
Sandipan Choudhuri, Suli Adeniye, Arunabha Sen +1
The standard closed-set domain adaptation approaches seek to mitigate distribution discrepancies between two domains under the constraint of both sharing identical label sets. Howe…
Coupling Adversarial Learning with Selective Voting Strategy for Distribution Alignment in Partial Domain Adaptation
Sandipan Choudhuri, Hemanth Venkateswara, Arunabha Sen
In contrast to a standard closed-set domain adaptation task, partial domain adaptation setup caters to a realistic scenario by relaxing the identical label set assumption. The fact…
Efficient Approximate Solutions to Mutual Information Based Global Feature Selection
Hemanth Venkateswara, Prasanth Lade, Binbin Lin +2
Mutual Information (MI) is often used for feature selection when developing classifier models. Estimating the MI for a subset of features is often intractable. We demonstrate, that…