activity
20182026
most citedUnderstanding the Natural Language of DNA using Encoder-Decoder Foundation Models with Byte-level Precision

8 citations · 14 across the 16 of their papers we have counts for

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Showing 2025Show all

6 papers · 1 filter

q-bio.QM2025

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…

cs.LG2025

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…

cs.LG2025

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…

cs.AI2025

Rack Position Optimization in Large-Scale Heterogeneous Data Centers

Chang-Lin Chen, Jiayu Chen, Tian Lan +3

As rapidly growing AI computational demands accelerate the need for new hardware installation and maintenance, this work explores optimal data center resource management by balanci…

cs.CV2025

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…

cs.NI2025

Network Diffuser for Placing-Scheduling Service Function Chains with Inverse Demonstration

Zuyuan Zhang, Vaneet Aggarwal, Tian Lan

Network services are increasingly managed by considering chained-up virtual network functions and relevant traffic flows, known as the Service Function Chains (SFCs). To deal with…