LBRR: Load Balanced Ring Routing Protocol for Heterogeneous Sensor Networks with Sink Mobility. - Sonam Maurya; Vinayak Gupta; Vinod Kumar Jain (WCNC, 2017)

Modeling Implicit Communities from Geo-Tagged Event Traces Using Spatio-Temporal Point Processes. - Ankita Likhyani; Vinayak Gupta; Srijith P. K; Deepak P 001; Srikanta Bedathur (WISE (1), 2020)

Modeling Implicit Communities using Spatio-Temporal Point Processes from Geo-tagged Event Traces. - Ankita Likhyani; Vinayak Gupta; Srijith P. K; Deepak P 001; Srikanta Bedathur (CoRR, 2020)

Learning Temporal Point Processes with Intermittent Observations. - Vinayak Gupta; Srikanta Bedathur; Sourangshu Bhattacharya; Abir De (AISTATS, 2021)

Region Invariant Normalizing Flows for Mobility Transfer. - Vinayak Gupta; Srikanta Bedathur (CIKM, 2021)

Neural Network Based Intelligent Traffic System. - Saathvik B. M.; Vinayak Gupta; Ayush Kedia; Lov Asawa; Karpagavalli Subramanian (IDAACS, 2021)

BERT Meets Relational DB: Contextual Representations of Relational Databases. - Siddhant Arora; Vinayak Gupta; Garima Gaur; Srikanta Bedathur (CoRR, 2021)

Learning Neural Models for Continuous-Time Sequences. - Vinayak Gupta (CoRR, 2021)

Detection and Diagnosis of Skin Diseases Using Residual Neural Networks (RESNET). - Moolchand Sharma; Bhanu Jain; Chetan Kargeti; Vinayak Gupta; Deepak Gupta 002 (Int. J. Image Graph., 2021)

Learning Temporal Point Processes for Efficient Retrieval of Continuous Time Event Sequences. - Vinayak Gupta; Srikanta Bedathur; Abir De (AAAI, 2022)

ProActive: Self-Attentive Temporal Point Process Flows for Activity Sequences. - Vinayak Gupta; Srikanta Bedathur (KDD, 2022)

Modeling Time-Series and Spatial Data for Recommendations and Other Applications. - Vinayak Gupta (CoRR, 2022)

Doing More with Less: Overcoming Data Scarcity for POI Recommendation via Cross-Region Transfer. - Vinayak Gupta; Srikanta Bedathur (ACM Trans. Intell. Syst. Technol., 2022)

Modeling Continuous Time Sequences with Intermittent Observations using Marked Temporal Point Processes. - Vinayak Gupta; Srikanta Bedathur; Sourangshu Bhattacharya; Abir De (ACM Trans. Intell. Syst. Technol., 2022)

Teaching Old DB Neu(ral) Tricks: Learning Embeddings on Multi-tabular Databases. - Garima Gaur; Rajat Singh; Siddhant Arora; Vinayak Gupta; Srikanta Bedathur (COMAD/CODS, 2023)

Modeling Spatial Trajectories Using Coarse-Grained Smartphone Logs. - Vinayak Gupta; Srikanta Bedathur (IEEE Trans. Big Data, 2023)

GSN: Generalisable Segmentation in Neural Radiance Field. - Vinayak Gupta; Rahul Goel; Dhawal Sirikonda; P. J. Narayanan (AAAI, 2024)

GAURA: Generalizable Approach for Unified Restoration and Rendering of Arbitrary Views. - Vinayak Gupta; Rongali Simhachala Venkata Girish; Mukund Varma T.; Ayush Tewari; Kaushik Mitra (ECCV (14), 2024)

Language Models Still Struggle to Zero-shot Reason about Time Series. - Mike A. Merrill; Mingtian Tan; Vinayak Gupta; Thomas Hartvigsen; Tim Althoff (EMNLP (Findings), 2024)

Enhancing Breast Cancer Prediction with XAI-Enabled Boosting Algorithms. - Vinayak Gupta; Richa Sharma (ICCCNT, 2024)

U2NeRF: Unsupervised Underwater Image Restoration and Neural Radiance Fields. - Vinayak Gupta; Manoj S.; Mukund Varma T.; Kaushik Mitra (Tiny Papers @ ICLR, 2024)

Advancing Infrared-Based Cyclone Intensity Forecasting with Dual-Stage Temporal Attention Mechanism Integrated Recurrent Neural Networks. - Yajnaseni Dash; Vinayak Gupta; Arun Kumar Sangaiah; Ajith Abraham (ICPR (Workshops and Challenges, 6), 2024)

Are Language Models Actually Useful for Time Series Forecasting? - Mingtian Tan; Mike A. Merrill; Vinayak Gupta; Tim Althoff; Tom Hartvigsen (NeurIPS, 2024)

Defending Language Models Against Image-Based Prompt Attacks via User-Provided Specifications. - Reshabh K. Sharma; Vinayak Gupta; Dan Grossman (SP (Workshops), 2024)

SPML: A DSL for Defending Language Models Against Prompt Attacks. - Reshabh K. Sharma; Vinayak Gupta; Dan Grossman (CoRR, 2024)

PaintScene4D: Consistent 4D Scene Generation from Text Prompts. - Vinayak Gupta; Yunze Man; Yu-Xiong Wang (CoRR, 2024)

Tapestry of Time and Actions: Modeling Human Activity Sequences Using Temporal Point Process Flows. - Vinayak Gupta; Srikanta Bedathur (ACM Trans. Intell. Syst. Technol., 2024)

Differentiable Adversarial Attacks for Marked Temporal Point Processes. - Pritish Chakraborty; Vinayak Gupta; Rahul R; Srikanta J. Bedathur; Abir De (AAAI, 2025)

GANESH: Generalizable NeRF for Lensless Imaging. - Rakesh Raj Madavan; Akshat Kaimal; Badhrinarayanan K. V; Vinayak Gupta; Rohit Choudhary; Chandrakala Shanmuganathan; Kaushik Mitra (WACV, 2025)

A Novel Context-Aware Feature Pyramid Networks With Kolmogorov-Arnold Modeling and XAI Framework for Robust Lung Cancer Detection. - Yajnaseni Dash; Sudhir C. Sarangi; Vinayak Gupta; Naween Kumar; Ajith Abraham (IEEE Access, 2025)

Efficient and Responsible Adaptation of Large Language Models for Robust and Equitable Top-k Recommendations. - Kirandeep Kaur; Manya Chadha; Vinayak Gupta; Chirag Shah 001 (CoRR, 2025)

Retrieving Continuous-Time Event Sequences Using Neural Temporal Point Processes with Learnable Hashing. - Vinayak Gupta; Srikanta Bedathur; Abir De (ACM Trans. Intell. Syst. Technol., 2025)

PhotonSplat: 3D Scene Reconstruction and Colorization from SPAD Sensors. - Kuppa Sai Sri Teja; Sreevidya Chintalapati; Vinayak Gupta; Mukund Varma T.; Haejoon Lee; Aswin C. Sankaranarayanan; Kaushik Mitra (CoRR, 2025)