From the 1 of 6 linked papers with an AI index.
6 papers
Latent-Kernel Discrete Flow Maps for Few-Step Generation
Mansoor Ahmed, Yue-Tsz Fan, Hemanth Venkateswara +1
The paper proposes Latent‑Kernel Discrete Flow Maps, a flow‑based model that uses a shared latent variable to tie together multiple factorized components, enabling correlated updat…
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…
EpiFormer: Learning Antigen-Antibody Interactions for Epitope Prediction via Geometric Deep Learning
Mansoor Ahmed, Huirong Chai, Haoxin Wang +2
Antibodies neutralize foreign antigens by binding to specific surface regions called epitopes. Computational epitope prediction is critical for understanding immune recognition and…
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…
Label Smoothing++: Enhanced Label Regularization for Training Neural Networks
Sachin Chhabra, Hemanth Venkateswara, Baoxin Li
Training neural networks with one-hot target labels often results in overconfidence and overfitting. Label smoothing addresses this issue by perturbing the one-hot target labels by…
Dataset Augmentation by Mixing Visual Concepts
Abdullah Al Rahat, Hemanth Venkateswara
This paper proposes a dataset augmentation method by fine-tuning pre-trained diffusion models. Generating images using a pre-trained diffusion model with textual conditioning often…