Srinitish Srinivasan

According to our database, Srinitish Srinivasan authored at least 11 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Polaris: Coupled Orbital Polar Embeddings for Hierarchical Concept Learning.

Sahil Mishra, Srinitish Srinivasan, Sourish Dasgupta, Tanmoy Chakraborty

CoRR, May, 2026

TaxoBell: Gaussian Box Embeddings for Self-Supervised Taxonomy Expansion.

Sahil Mishra, Srinitish Srinivasan, Srikanta Bedathur, Tanmoy Chakraborty

Proceedings of the ACM Web Conference 2026, 2026

2025

Crop weed separation through image-level segmentation: an ensemble of modified U-Net and encoder-decoder.

Sannasi Ganapathy, Srinitish Srinivasan

Neural Comput. Appl., June, 2025

Lorentzian Graph Isomorphic Network.

Srinitish Srinivasan, Omkumar CU

CoRR, April, 2025

Predicting Liquidity-Aware Bond Yields using Causal GANs and Deep Reinforcement Learning with LLM Evaluation.

Jaskaran Singh Walia, Aarush Sinha, Srinitish Srinivasan, Srihari Unnikrishnan

CoRR, February, 2025

Leveraging Joint Predictive Embedding and Bayesian Inference in Graph Self Supervised Learning.

Srinitish Srinivasan, Omkumar CU

CoRR, February, 2025

Enhancing colour and brush stroke pattern recognition for stable abstract art generation using modified deep convolutional GANs.

Srinitish Srinivasan, Varenya Pathak, Abirami S, A. Sherly Alphonse, Sakthivel Gnanasekaran

Intell. Decis. Technol., 2025

2024

Enhancing IoT based Plant Health Monitoring through Advanced Human Plant Interaction using Large Language Models and Mobile Applications.

Kriti Agarwal, Samhruth Ananthanarayanan, Srinitish Srinivasan, Abirami S

CoRR, 2024

Autoencoder based approach for the mitigation of spurious correlations.

Srinitish Srinivasan, Karthik Seemakurthy

CoRR, 2024

Colour and Brush Stroke Pattern Recognition in Abstract Art using Modified Deep Convolutional Generative Adversarial Networks.

Srinitish Srinivasan, Varenya Pathak

CoRR, 2024

Detecting Side Effects of Adverse Drug Reactions Through Drug-Drug Interactions Using Graph Neural Networks and Self-Supervised Learning.

Omkumar Chandraumakantham, Srinitish Srinivasan, Varenya Pathak

IEEE Access, 2024