Program

Main Conference location at Indian Institute of Science:
AV Rama Rao Auditorium, Chemical Sciences Building and
IDR Building

Pre-conference events:
9 October, 08:30 am: Campus tour/tree walk
10 October: Visit to Mysore
11 October: Lunch for the Organising team at Shangri-La Bengaluru, followed by shopping in Bangalore

Transportation will be provided to all pre-conference events. Information will be given on site.


Preliminary program. Changes may come.

Mon, 12 OctTimeActivityPresenterLocation
14:00-15:00Tutorial Part 1: Introduction to Tsetlin Machines: Consepts and FoundationsProf. Ole-Christoffer Granmo, University of AgderAV Rama Rao Auditorium
15:00-15:30Break
15:30-16:30Tutorial Part 2:
Introduction to Tsetlin Machines: Practical Exercises and Coding
Prof. Linga Reddy Cenkeramaddi, University of Agder
Prof. Srinivas Boppu, IIT Bhubaneswar
Thrishank Hesaraghatta Shivakumar, IIT Bhubaneswar & University of Agder
K Koushik, IIT Bhubaneswar & University of Agder
AV Rama Rao Auditorium
16:30-17:30Research Speed Date SessionAV Rama Rao Auditorium
19:30-20:00Registration
20:00Welcome ReceptionIDR Building
Tue, 13 Oct08:30-09:00Registration
09:00-09:10Opening SessionAV Rama Rao Auditorium
09:10-10:10Keynote I:
Explainable AI-assisted risk modelling for national financial markets
Prof. David Thomas, University of SouthamptonAV Rama Rao Auditorium
10:10-10:30Break
10:30-12:10Research Session 1: Efficient and Distributed Edge AIAV Rama Rao Auditorium
12:30-14:00LunchMGH Lawn
14:00-16:40Research Session 2:
New Learning Strategies and Emerging Applications
AV Rama Rao Auditorium
16:40-17:00Break
17:00-18:00Keynote II:
Tsetlinomics: Simplifying and interpreting multi-omics data using Tsetlin machines
Dr. Mirza Khalid Baig, National Institute of TechnologyAV Rama Rao Auditorium
18:00-18:30Break
18:30-19:30Cultural program by IISc students
19:30Conference DinnerIDR Building
Wed, 14 Oct08:30-09:00Registration
09:00-09:10Opening Session AV Rama Rao Auditorium
09:10-10:10Keynote III:
Towards Trustworthy AI: From Internal Representations to Reliable Behaviour
Dr. Gouthaman K V, Dolby Laboratories
Dr. Aveen Dayal, Dolby Advanced Technology Group India
AV Rama Rao Auditorium
10:10-10:30Break
10:30-12:30Poster Session
12:30-14:00LunchMGH Lawn
14:00-16:00Research Session 3: Healthcare and Trustworthy AIAV Rama Rao Auditorium
16:00-16:30Closing SessionAV Rama Rao Auditorium

Detailed Research Sessions

Session 1: Tsetlin Machines for Efficient and Distributed Edge AI
Chair: Prof. Ambedkar Dukkipati
Session theme: Hardware, edge deployment, latency optimization, and federated TM systems.

#IDPaper title
13446Multi-Pass Systolic Inference Tsetlin Machine Hardware Accelerator
25496Inference Latency-Aware Tsetlin Machine Training
32775Communication-Constrained Federated Tsetlin Machine: Optimizing Payload Size and End-to-End Pipeline Latency
49080VACE: Validation-Free Aggregation Configuration Evaluation for FedTMOS
58423FPGA-based Interpretability Framework for Convolutional Coalesced Tsetlin Machines

Session 2: New Learning Strategies, Performance Evaluation and Emerging Applications
Chair: Prof. Pathipati Srihari and Prof. Gauri Kalnoor
Session theme: Novel TM learning mechanisms, interpretability improvements, performance evaluation and emerging application domains.

#IDPaper title
10587CRISP: A Framework for Clause-Reconstructed Interpretable NeuroSymbolic Propositions
23015Compressed Recurrent Feedback in Tsetlin Machines: A Reproducible Boolean-FSM Study
36837Clause Sanitization for Compact and Interpretable Tsetlin Machines
43393Semi-supervised Human Activity Recognition Using Pattern-Balanced Cotraining with Tsetlin Machines
58852Malicious URL Detection Using Tsetlin Machines: An Explainable and Energy-Efficient Approach
68792Interpretable Subject Tagging and Text Feature Selection for Norwegian-Language Parliamentary Documents Using Tsetlin Machines
79535Analyzing the Effect of True Markov Blankets on Tsetlin Machine Performance: A Comparative Study with Neural Networks, Random Forests, and Decision Trees
86940Class conditional Booleanizer and Composite Tsetlin Machine for Foot Step Analysis using Pressure Sensors

Session 3: Explainable Tsetlin Machines in Healthcare and Trustworthy AI
Chair: Prof. Venkanna Udutalapally
Session theme: Interpretable decision support, biomedical discovery, and trustworthy healthcare AI.

#IDPaper title
15045Interpretable Discovery of High-Precision EEG Non-Survivor Subgroups Using Tsetlin Machines
24045Tsetlin Machines Meet Strong Filters: Masquerader Awareness for Explainable Patient Cohort Discovery
35734Interpretable Verification of Boolean Gene Regulatory Networks via Tsetlin Machine Clause Analysis: A Case Study in Alzheimer’s Disease
49820Tsetlin Machine-Based Explainable Infant Skin Exposure Detection Method for Contactless Infant Vital Sign Measurement Systems
58292Gene Signature Discovery for Pancreatic Ductal Adenocarcinoma Using Tsetlin Machine: A Multi-Cohort Transcriptomic Pipeline
67929Tsetlin Machine-Based ECG Signal Quality Assessment Method for Trustworthy Wearable Ambulatory Cardiac Health Monitoring

Poster Session

Poster Responsible: Prof. M. Sabarimalai Manikandan and Prof. Vishnu Srinivasa Murthy Y

#IDPaper title
12232Quantum-Logic Tsetlin Machines: Interpretable Quantum Machine Learning with Commuting Projector Clauses
25044A Recurrent Multi-Output Tsetlin Machine for Sequential Adaptive Sparse Sampling
30231The Neuroplastic Tsetlin Machine
41794Tsetlin Machine for Non-intrusive Load Monitoring on MCUs
55905Clause Correspondence in Federated Tsetlin Machines: A Systematic Analysis
66409FPGA-Based Tsetlin Machines for Acoustic Insect Classification