8 citations · 12 across the 5 of their papers we have counts for
6 papers
GeneFlow: Translation of Single-cell Gene Expression to Histopathological Images via Rectified Flow
Mengbo Wang, Shourya Verma, Aditya Malusare +6
Spatial transcriptomics (ST) technologies can be used to align transcriptomes with histopathological morphology, presenting exciting new opportunities for biomolecular discovery. U…
Augmenting generative models with biomedical knowledge graphs improves targeted drug discovery
Aditya Malusare, Vineet Punyamoorty, Vaneet Aggarwal
Recent breakthroughs in generative modeling have demonstrated remarkable capabilities in molecular generation, yet the integration of comprehensive biomedical knowledge into these…
Contrastive Cross-Modal Learning for Infusing Chest X-ray Knowledge into ECGs
Vineet Punyamoorty, Aditya Malusare, Vaneet Aggarwal
Modern diagnostic workflows are increasingly multimodal, integrating diverse data sources such as medical images, structured records, and physiological time series. Among these, el…
BalancedDPO: Adaptive Multi-Metric Alignment
Dipesh Tamboli, Souradip Chakraborty, Aditya Malusare +3
Diffusion models have achieved remarkable progress in text-to-image generation, yet aligning them with human preference remains challenging due to the presence of multiple, sometim…
Improving Molecule Generation and Drug Discovery with a Knowledge-enhanced Generative Model
Aditya Malusare, Vaneet Aggarwal
Recent advancements in generative models have established state-of-the-art benchmarks in the generation of molecules and novel drug candidates. Despite these successes, a significa…
Understanding the Natural Language of DNA using Encoder-Decoder Foundation Models with Byte-level Precision
Aditya Malusare, Harish Kothandaraman, Dipesh Tamboli +2
This paper presents the Ensemble Nucleotide Byte-level Encoder-Decoder (ENBED) foundation model, analyzing DNA sequences at byte-level precision with an encoder-decoder Transformer…