:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Sakhinana, Sagar Srinivas, Aripirala, Krishna Sai Sudhir, Gupta, Shivam, Runkana, Venkataramana
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2408.12634
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multi-Source Knowledge-Based Hybrid Neural Framework for Time Series Representation Learning
by: Sakhinana, Sagar Srinivas, et al.
Published: (2024)

Multi-Knowledge Fusion Network for Time Series Representation Learning
by: Sakhinana, Sagar Srinivas, et al.
Published: (2024)

PointSAGE: Mesh-independent superresolution approach to fluid flow predictions
by: Sarkar, Rajat, et al.
Published: (2024)

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up
by: Srinivas, Sakhinana Sagar, et al.
Published: (2025)

Crossing New Frontiers: Knowledge-Augmented Large Language Model Prompting for Zero-Shot Text-Based De Novo Molecule Design
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)

Scaling Test-Time Inference with Policy-Optimized, Dynamic Retrieval-Augmented Generation via KV Caching and Decoding
by: Srinivas, Sakhinana Sagar, et al.
Published: (2025)

Retrieval-Augmented Generation Meets Data-Driven Tabula Rasa Approach for Temporal Knowledge Graph Forecasting
by: Sannidhi, Geethan, et al.
Published: (2024)

Accelerating Manufacturing Scale-Up from Material Discovery Using Agentic Web Navigation and Retrieval-Augmented AI for Process Engineering Schematics Design
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)

Hypergraph Learning based Recommender System for Anomaly Detection, Control and Optimization
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)

Agentic Retrieval-Augmented Generation for Time Series Analysis
by: Ravuru, Chidaksh, et al.
Published: (2024)

Agentic Multimodal AI for Hyperpersonalized B2B and B2C Advertising in Competitive Markets: An AI-Driven Competitive Advertising Framework
by: Srinivas, Sakhinana Sagar, et al.
Published: (2025)

Retrieval-Augmented Instruction Tuning for Automated Process Engineering Calculations : A Tool-Chaining Problem-Solving Framework with Attributable Reflection
by: Sakhinana, Sagar Srinivas, et al.
Published: (2024)

Vision HgNN: An Electron-Micrograph is Worth Hypergraph of Hypernodes
by: Srinivas, Sakhinana Sagar, et al.
Published: (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
by: Sakhinana, Sagar Srinivas, et al.
Published: (2024)

Reprogramming Foundational Large Language Models(LLMs) for Enterprise Adoption for Spatio-Temporal Forecasting Applications: Unveiling a New Era in Copilot-Guided Cross-Modal Time Series Representation Learning
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)

Knowledge Graph Modeling-Driven Large Language Model Operating System (LLM OS) for Task Automation in Process Engineering Problem-Solving
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)

Battery GraphNets : Relational Learning for Lithium-ion Batteries(LiBs) Life Estimation
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)

Hierarchical Network Fusion for Multi-Modal Electron Micrograph Representation Learning with Foundational Large Language Models
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)

Towards Human-Level Understanding of Complex Process Engineering Schematics: A Pedagogical, Introspective Multi-Agent Framework for Open-Domain Question Answering
by: Sakhinana, Sagar Srinivas, et al.
Published: (2024)

Towards Automated Patent Workflows: AI-Orchestrated Multi-Agent Framework for Intellectual Property Management and Analysis
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)

Cross-Modal Learning for Chemistry Property Prediction: Large Language Models Meet Graph Machine Learning
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)

Parameter-Efficient Quantized Mixture-of-Experts Meets Vision-Language Instruction Tuning for Semiconductor Electron Micrograph Analysis
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)

Foundational Model for Electron Micrograph Analysis: Instruction-Tuning Small-Scale Language-and-Vision Assistant for Enterprise Adoption
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)

Sparks of Artificial General Intelligence(AGI) in Semiconductor Material Science: Early Explorations into the Next Frontier of Generative AI-Assisted Electron Micrograph Analysis
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)

Preliminary Investigations of a Multi-Faceted Robust and Synergistic Approach in Semiconductor Electron Micrograph Analysis: Integrating Vision Transformers with Large Language and Multimodal Models
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)

Multi-Modal Instruction-Tuning Small-Scale Language-and-Vision Assistant for Semiconductor Electron Micrograph Analysis
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)

EMCNet : Graph-Nets for Electron Micrographs Classification
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)

Multi Objective Design Optimization of Non Pneumatic Passenger Car Tires Using Finite Element Modeling, Machine Learning, and Particle swarm Optimization and Bayesian Optimization Algorithms
by: Dhrangdhariya, Priyankkumar, et al.
Published: (2026)

EnterpriseOps-Gym: Environments and Evaluations for Stateful Agentic Planning and Tool Use in Enterprise Settings
by: Malay, Shiva Krishna Reddy, et al.
Published: (2026)

Neural Temporal Point Processes for Forecasting Directional Relations in Evolving Hypergraphs
by: Gracious, Tony, et al.
Published: (2023)

Two-level Solar Irradiance Clustering with Season Identification: A Comparative Analysis
by: Agrawal, Roshni, et al.
Published: (2025)

Efficient Knowledge Distillation via Curriculum Extraction
by: Gupta, Shivam, et al.
Published: (2025)

The Dark Side of Digital Twins: Adversarial Attacks on AI-Driven Water Forecasting
by: Homaei, Mohammadhossein, et al.
Published: (2025)

Industrial Energy Disaggregation with Digital Twin-generated Dataset and Efficient Data Augmentation
by: Internò, Christian, et al.
Published: (2025)

Joint Task Offloading, Inference Optimization and UAV Trajectory Planning for Generative AI Empowered Intelligent Transportation Digital Twin
by: Li, Xiaohuan, et al.
Published: (2026)

Synergizing AI and Digital Twins for Next-Generation Network Optimization, Forecasting, and Security
by: Zhang, Zifan, et al.
Published: (2025)

PANDA: Expanded Width-Aware Message Passing Beyond Rewiring
by: Choi, Jeongwhan, et al.
Published: (2024)

Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks
by: Attali, Hugo, et al.
Published: (2025)

Data Sensor Fusion In Digital Twin Technology For Enhanced Capabilities In A Home Environment
by: Momoh, Benjamin, et al.
Published: (2025)

Recent Trends in Artificial Intelligence-inspired Electronic Thermal Management
by: Chharia, Aviral, et al.
Published: (2021)