Runkana, Venkataramana

16 publications

ICLRW 2025 Agentic Multimodal AI for Hyper-Personalized B2B and B2C Advertising in Competitive Markets: An AI-Driven Competitive Advertising Framework Sagar Srinivas Sakhinana, Akash Das, Shivam Gupta, Venkataramana Runkana

ICLRW 2025 LLM Agents for Literature to Code Conversion:Case Study of Heat Exchanger Design Sandeep Mishra, Vishal Sudam Jadhav, Shirish Karande, Venkataramana Runkana

ICLRW 2024 Advancing Enterprise Spatio-Temporal Forecasting Applications : Data Mining Meets Instruction Tuning of Language Models for Multi-Modal Time Series Analysis in Low-Resource Settings Sagar Srinivas Sakhinana, Sannidhi Gowri Naga Krishna Geethan, Chidaksh Ravuru, Venkataramana Runkana

ICMLW 2024 Parameter Tuning and Modeling of a Rotary Kiln Using Physics-Informed Neural Networks Janak M. Patel, Vishal Sudam Jadhav, Anirudh Deodhar, Shirish Karande, Venkataramana Runkana

ICMLW 2024 Parameter-Efficient Quantized Mixture-of-Experts Meets Vision-Language Instruction Tuning for Semiconductor Electron Micrograph Analysis Sagar Srinivas Sakhinana, Sannidhi Gowri Naga Krishna Geethan, Chidaksh Ravuru, Venkataramana Runkana

ICMLW 2024 Parameter-Efficient Quantized Mixture-of-Experts Meets Vision-Language Instruction Tuning for Semiconductor Electron Micrograph Analysis Sagar Srinivas Sakhinana, Sannidhi Gowri Naga Krishna Geethan, Chidaksh Ravuru, Venkataramana Runkana

ICLRW 2024 PointSAGE: Mesh-Independent Superresolution Approach to Fluid Flow Predictions Rajat Sarkar, Krishna Sai Sudhir Aripirala, Vishal Sudam Jadhav, Sagar Srinivas Sakhinana, Venkataramana Runkana

NeurIPSW 2024 Towards Automated Patent Workflows: AI-Orchestrated Multi-Agent Framework for Intellectual Property Management and Analysis Sagar Srinivas Sakhinana, Vijay sri Vaikunth, Venkataramana Runkana

NeurIPSW 2023 Cross-Modal Learning for Chemistry Property Prediction: Large Language Models Meet Graph Machine Learning Sagar Sakhinana, Venkataramana Runkana

NeurIPSW 2023 Cross-Modal Learning for Chemistry Property Prediction: Large Language Models Meet Graph Machine Learning Sagar Sakhinana, Venkataramana Runkana

NeurIPSW 2023 Crossing New Frontiers: Knowledge-Augmented Large Language Model Prompting for Zero-Shot Text-Based De Novo Molecule Design Sagar Sakhinana, Venkataramana Runkana

NeurIPSW 2023 Hierarchical Network Fusion for Multi-Modal Electron Micrograph Representation Learning with Foundational Large Language Models Sagar Sakhinana, Sannidhi Geethan, Venkataramana Runkana

NeurIPSW 2023 Hierarchical Network Fusion for Multi-Modal Electron Micrograph Representation Learning with Foundational Large Language Models Sagar Sakhinana, Sannidhi Geethan, Venkataramana Runkana

NeurIPSW 2023 PIHLoRA: Physics-Informed Hypernetworks for Low-Ranked Adaptation Ritam Majumdar, Vishal Sudam Jadhav, Anirudh Deodhar, Shirish Karande, Lovekesh Vig, Venkataramana Runkana

ICLRW 2023 Symbolic Regression for PDEs Using Pruned Differentiable Programs Ritam Majumdar, Vishal Sudam Jadhav, Anirudh Deodhar, Shirish Karande, Lovekesh Vig, Venkataramana Runkana

NeurIPSW 2022 Physics Informed Symbolic Networks Ritam Majumdar, Vishal Sudam Jadhav, Anirudh Deodhar, Shirish Karande, Lovekesh Vig, Venkataramana Runkana