Accepted Papers

Research Track

1. KANICE: Kolmogorov-Arnold Networks with Interactive Convolutional Elements

Authors: Md Meftahul Ferdaus (University of New Orleans)*; Mahdi Abdelguerfi (University of New Orleans); Elias Ioup (Center for Geospatial Sciences, Naval Research Laboratory, Stennis Space Center); David Dobson (Center for Geospatial Sciences, Naval Research Laboratory, Stennis Space Center); Kendall N. Niles (US Army Corps of Engineers, Engineer Research and Development Center); Ken Pathak (US Army Corps of Engineers, Engineer Research and Development Center); Steven Sloan (US Army Corps of Engineers, Engineer Research and Development Center)

2. Federated On-Device Learning of Integer-Based Convolutional Neural Networks

Authors: Luca Colombo (Politecnico di Milano)*

 

3. ILAEDA: An Imitation Learning Based Approach for Automatic Exploratory Data Analysis

Authors: Abhijit Manatkar (IBM Research)*; Devarsh Patel (IISER Pune); Hima Patel (IBM Research); Naresh Manwani (International Institute of Information Technology, Hyderabad)

4. Sparse Reservoir Topologies for Physical Implementations of Random Oscillators Networks

Authors: Andrea Cossu (University of Pisa)*; Andrea Ceni (University of Pisa); Davide Bacciu (Univeristy of Pisa); Claudio Gallicchio (University of Pisa)

5. Inversion of Satellite Measurements of CO2 Concentrations using Deep Learning

Authors: Garvit Agarwal (TCS Research)*; Shailesh S Deshpande (TRDDC)

6. Selective Graph Convolutional Network for Efficient Routing

Authors: Nikita Karthikeyan (Indiana University, Bloomington); Hayagreev Jeyandran (Vidyashilp Academy); Rohit Verma (Intel Labs)*; Rajeev Shorey (IIIT Surat)

7. Towards Forecasting Bus Arrival Thorough A Model Based On GNN+LSTM Using GTFS and Real-time Data

Authors: Pedro P Lopes (PUC Minas); Gerlando Gramaglia (Università di Pisa); Davide Bacciu (Univeristy of Pisa); Humberto T Marques-Neto (PUC Minas)*

8. Quantifying Cryptocurrency Unpredictability: A Comprehensive Study of Complexity and Forecasting

Authors: Francesco Puoti (Politecnico di Milano)*; Fabrizio Pittorino (Politecnico di Milano); Manuel Roveri (Politecnico di Milano)

9. GPU Acceleration for Markov Chain Monte Carlo sampling

Authors: Jiarui Li (Tulane University); Ramgopal R Mettu (Tulane University)*

10. TinySV: Speaker Verification in TinyML with On-device Learning

Authors: Massimo Pavan (POLITECNICO DI MILANO)*; Gioele Mombelli (Politecnico di Milano); Francesco Sinacori (Infineon Technologies Italia s.r.l); Manuel Roveri (Politecnico di Milano)

11. VETT: VectorDB-Enabled Transfer-Learning for Time-Series Forecasting

Authors: Alessandro Falcetta (Politecnico di Milano)*; Giulio Cristofaro (Dhiria S.r.l.); Lorenzo Epifani (Politecnico di Milano); Manuel Roveri (Politecnico di Milano)

12. ERFC: Happy Customers with Emotion Recognition and Forecasting in Conversation in Call Centers

Authors: Aditi Debsharma (Accenture)*; Bhushan Jagyasi (Accenture); Surajit Sen (Accenture); Priyanka Pandey (Accenture); Devicharith Dovari (Accenture); Yuvaraj V. C (Accenture); Rosalin Parida (Accenture); Gopali Contractor (Accenture)

13. Self Supervised LLM Customizer(SSLC): Customizing LLMs on Unlabeled Data to Enhance Contextual Question Answering

Authors: Raveendra R Hegde (Amazon)*; Saurabh Sharma (Amazon India)

14. ORCHID – Offline RL for Control of HVAC in Buildings using Historical and Low-Fidelity Simulation Data

Authors: Richa Verma (TCS Research)*; Srikar Babu Gadipudi (Indian Institute of Technology, Madras); Srinarayana Nagarathinam (Tata Consultancy Services Ltd); Harshad Khadilkar (Tata Consultancy Services Ltd.)

15. TinyML-Powered Gesture Wizardry: Low-Cost, Low-Power Two-Stage CNN for Static Hand Gesture Classification on MCU in Appliance Control

Authors: Bidyut Saha (Indian Institute of Technology Kharagpur)*; Riya Samanta (Indian Institute of Technology, Kharagpur); Soumya Kanti Ghosh (Indian Institute of Technology Kharagpur, India); Ram Babu Roy (Indian Institute of Technology Kharagpur, India)

16. Trans-ARG: Predicting Antibiotic Resistance Genes with a Transformer-Based Model and Pretrained Protein Language Model

Authors: Mohd Manzar Abbas (Louisiana State University)*; Amit Ranjan (Louisiana State University); Aixin Hou (Louisiana State University); Supratik Mukhopadhyay (Louisiana State University)

17. KG-DTA: A knowledge graph-based meta-path learning framework to predict drug-target binding affinity

Authors: Amit Ranjan (Louisiana State University)*; Adam Bess (Louisiana State University); Md Saiful Islam Sajol (Louisiana State University); Magesh Rajasekaran (Louisiana State University); Chris Alvin (Louisiana State University); Supratik Mukhopadhyay (Louisiana State University)

18. Tab2Graph: Transforming Heterogeneous Tables as Graphs

Authors: Rajat Singh (IIT Delhi)*; Raajita Bhamidipaty (IIT Delhi); Anjali Sharma (indian institute of technology Delhi); Srikanta Bedathur (IIT Delhi)

19. Visual Perception Transformer: Robust image understanding on unseen transformations across wide-ranging dataset sizes

Authors: Renju C Nair (International Institute of information Technology, Bangalore)*; Ashish Gatreddi (International Institute of Information Technology, Bangalore); Madhav Rao (International Institute of information Technology, Bangalore); Muralidhara V N (IIIT Bangalore)

20. BudgetMLAgent: A Cost-Effective LLM Multi-Agent system for Automating Machine Learning Tasks

Authors: Shubham Gandhi (TCS Research); Manasi Patwardhan (TCS Research)*; Lovekesh Vig (TCS Research); Gautam Shroff (IIIT Delhi)

Industry Track

1. Efficient and verifiable responses using Retrieval Augmented Generation (RAG)
Authors: Henry Liang (Vail Systems), Yu Zhou (Vail Systems), Vijay K. Gurbani (Vail Systems).
2. Assessing the Impact of Upselling in Online Fantasy Sports

Authors: Aayush Chaudhary

4. AI Enhanced Ticket Management System for optimized Support

Authors: Shubham Jain (Hughes Systique)*; Amit Gupta (Hughes Systique); Kumari Neha (Hughes Systique)

5. Aggregated Knowledge Model: Enhancing Domain-Specific QA with Fine-Tuned and Retrieval-Augmented Generation Models

Authors: Fengchen Liu (Lawrence Berkeley National Laboratory)*; Fengchen Liu (University of California, Berkeley); Jordan Jung (Lawrence Berkeley National Laboratory); Wei Feinstein (Lawrence Berkeley National Laboratory); Jeff D’Ambrogia (Lawrence Berkeley National Laboratory); Gary Jung (Lawrence Berkeley National Laboratory)

6. Remote Attestation and Secure AI in Systems-on-Chip/Systems-in-Package

Authors: Giridhar Mandyam (Mediatek)

Demo Track

1. TASCA++ : A multi-agentic tool to scalably accelerate ML pipelines

Authors: Bibek Paul (Chennai Mathematical Institute); ARCHISMAN BHOWMICK (TATA CONSULTANCY SERVICES)*; Mayank Mishra (TCS); Sarthak Gupta (IIIT Nagpur); Rekha Singhal (TCS)

2. LeafSense: A Portable, Low-Cost, Low-Power Plant Disease Diagnostic Device Using TinyML

Authors: Riya Samanta (Indian Institute of Technology, Kharagpur)*; Bidyut Saha (Indian Institute of Technology Kharagpur); Soumya Kanti Ghosh (Indian Institute of Technology Kharagpur, India)

Workshop-GenAI

1. Methodology for Quality Assurance Testing of LLM-based Multi-Agent Systems

Isha Shamim (Tata Consultancy Services Limited)*; Rekha Singhal (TCS)

2. Bridging the Gap: Synthetic Data Augmentation through Inversion and Distribution Matching for Few-shot Learning

Yunsung Chung (Tulane University)*; Janet Wang (Tulane University); Jihun Hamm (Tulane University)

3. Question-Answering System in Computer Science

Harshit Verma (BITS Pilani Hyderabad); M Bhargav (BITS Pilani Hyderabad); Ritvik – (BITS Pilani Hyderabad); Chetana Dr Gavankar (BITS Pilani)*; Prajna Devi Upadhyay (BITS Pilani Hyderabad)