| 2026 | SAC | EMOGEN: EMOtion Recognition and Guided Generation in Conversations using a Parameterised GENerative Framework. | Rishabh Agrawal, Tanmay Khule, Apurva Narayan |
| 2026 | SAC | TATransformer: Transformer with Time-Aware Recurrent Attention for Cuffless Arterial Blood Pressure Waveform Estimation. | Uday Devulapalli, Apurva Narayan |
| 2026 | SAC | Towards Reliable and Interpretable Predictions in Stroke Detection Using Computed Tomography Scans. | Aarat Satsangi, Apurva Narayan |
| 2025 | ICASSP | L2G: Head Gesture Animation Using an Emotion Guided Language Model. | Rishabh Agrawal, Apurva Narayan |
| 2024 | AAAI | Generating Universal Adversarial Perturbations for Quantum Classifiers. | Gautham Anil, Vishnu Vinod, Apurva Narayan |
| 2024 | AAAI | Attacking CNNs in Histopathology with SNAP: Sporadic and Naturalistic Adversarial Patches (Student Abstract). | Daya Kumar, Abhijith Sharma, Apurva Narayan |
| 2024 | EMNLP | PFA-ERC: Psuedo-Future Augmented Dynamic Emotion Recognition in Conversations. | Tanmay Khule, Rishabh Agrawal, Apurva Narayan |
| 2024 | IECON | ChebyRegNet: An Unsupervised Deep Learning Technique for Deformable Medical Image Registration. | Muhammad Umair Danish, Mohammad Noorchenarboo, Apurva Narayan, Katarina Grolinger |
| 2024 | QRS | cf-TDFM: A Framework for Limiting Fault Infusion Attacks on Deep Neural Networks. | Mehar Prateek Kalra, Soniya, Apurva Narayan |
| 2024 | SMC | Are ViTs Weak Against Patch Attacks? | Soniya, Phil Munz, Apurva Narayan |
| 2024 | WACV | Assist Is Just as Important as the Goal: Image Resurfacing to Aid Model's Robust Prediction. | Abhijith Sharma, Phil Munz, Apurva Narayan |
| 2023 | ICAART | Learning Spatio-Temporal Features via 3D CNNs to Forecast Time-to-Accident. | Taif Anjum, Louis Chirade, Beiyu Lin, Apurva Narayan |
| 2023 | ICMLA | Improving Adversarial Robustness of Few-Shot Learning with Contrastive Learning and Hypersphere Embedding. | Madhushan Buwaneswaran, Tehara Fonseka, Apurva Narayan, Katarina Grolinger |
| 2023 | IJCNN | Spatio-temporal Analysis of Dashboard Camera Videos for Time-To-Accident Forecasting. | Taif Anjum, Daya Kumar, Apurva Narayan |
| 2023 | IJCNN | cAPTured: Neural Reflex Arc-Inspired Fuzzy Continual Learning for Capturing in Silico Aptamer-Target Protein Interactions. | Aviral Chharia, Runjhun Saran, Apurva Narayan |
| 2023 | IJCNN | NSA: Naturalistic Support Artifact to Boost Network Confidence. | Abhijith Sharma, Phil Munz, Apurva Narayan |
| 2022 | EMSOFT | Work-in-Progress: Boot Sequence Integrity Verification with Power Analysis. | Arthur Grisel-Davy, Amrita Milan Bhogayata, Srijan Pabbi, Apurva Narayan, Sebastian Fischmeister |
| 2022 | ICAART | Soft Adversarial Training Can Retain Natural Accuracy. | Abhijith Sharma, Apurva Narayan |
| 2022 | ICPR | Introducing Diversity In Feature Scatter Adversarial Training Via Synthesis. | Satyadwyoom Kumar, Apurva Narayan |
| 2022 | IJCNN | Spiking Approximations of the MaxPooling Operation in Deep SNNs. | Ramashish Gaurav, Bryan P. Tripp, Apurva Narayan |
| 2022 | IJCNN | Towards Robust Certified Defense via Improved Randomized Smoothing. | Satyadwyoom Kumar, Apurva Narayan |
| 2022 | IDA | AGS: Attribution Guided Sharpening as a Defense Against Adversarial Attacks. | Javier Perez Tobia, Phillip Braun, Apurva Narayan |
| 2022 | LREC | HyperBox: A Supervised Approach for Hypernym Discovery using Box Embeddings. | Maulik Parmar, Apurva Narayan |
| 2022 | SMC | Improving imbalanced dataset classification using Conditional Classifier-Generator (cCGen). | Aniket Chakraborty, Anupama Vijaya Nadarja, Abbas S. Milani, Javier Perez Tobia, Apurva Narayan |
| 2021 | AI | Driving Scene Understanding: How much temporal context and spatial resolution is necessary? | Ramashish Gaurav, Bryan P. Tripp, Apurva Narayan |
| 2021 | BIBE | A novel fuzzy approach towards in silico B-cell epitope identification inducing antigen-specific immune response for Vaccine Design. | Aviral Chharia, Apurva Narayan |
| 2021 | ICMLA | Self-Attention Mechanism in GANs for Molecule Generation. | Sandeep Chinnareddy, Pranav Grandhi, Apurva Narayan |
| 2021 | ICMLA | Retrieval Enhanced Ensemble Model Framework For Rumor Detection On Micro-blogging Platforms. | Rishab Sharma, Fatemeh H. Fard, Apurva Narayan |
| 2021 | QRS | MINTS: Unsupervised Temporal Specifications Miner. | Pradeep K. Mahato, Apurva Narayan |
| 2021 | SMC | Is Timing Critical to Trace Reconstruction? | Javier Perez Tobia, Apurva Narayan |
| 2020 | QRS | QMine: A Framework for Mining Quantitative Regular Expressions from System Traces. | Pradeep K. Mahato, Apurva Narayan |
| 2020 | SMC | Light Weight Dilated CNN for Time Series Classification and Prediction. | Pranav Khanna, Apurva Narayan |
| 2020 | SMC | GWAD: Greedy Workflow Graph Anomaly Detection Framework for System Traces. | Wiliam Setiawan, Yohen Thounaojam, Apurva Narayan |
| 2020 | SMC | MA2DF: A Multi-Agent Anomaly Detection Framework. | Yohen Thounaojam, Wiliam Setiawan, Apurva Narayan |
| 2019 | IJCNN | Deep Learning for System Trace Restoration. | Ilia Sucholutsky, Apurva Narayan, Matthias Schonlau, Sebastian Fischmeister |
| 2019 | SMC | A Neural Word Embedding Approach to System Trace Reconstruction. | Karuna Lakhani, Apurva Narayan |
| 2019 | SMC | Mining Time for Timed Regular Specifications. | Apurva Narayan, Sebastian Fischmeister |
| 2017 | SMC | Long short term memory networks for short-term electric load forecasting. | Apurva Narayan, Keith W. Hipel |
| 2011 | SMC | Neuro-fuzzy inference system (ASuPFuNIS) model for intervention time series prediction of electricity prices. | Apurva Narayan, Keith W. Hipel, K. Ponnambalam, Sandeep Paul |
| 2009 | SMC | A Novel Quantum Evolutionary Algorithm for Quadratic Knapsack Problem. | Apurva Narayan, Patvardhan Chellapilla |
| 2009 | SMC | Dynamic Fuzzy Controller Based Multilayered Architecture for Extended Battery Life in Mobile Handheld Devices. | Apurva Narayan, Tamanna Srivastava |