Alokendu Mazumder

According to our database, Alokendu Mazumder authored at least 6 papers between 2021 and 2026.

Collaborative distances:

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

2026

Fractional Gradient Descent With Matrix Stepsizes for Non-Convex Optimization.

Alokendu Mazumder, Keshav Vyas, Punit Rathore

IEEE Trans. Neural Networks Learn. Syst., June, 2026

2024

Learning Low-Rank Latent Spaces with Simple Deterministic Autoencoder: Theoretical and Empirical Insights.

Alokendu Mazumder, Tirthajit Baruah, Bhartendu Kumar, Rishab Sharma, Vishwajeet Pattanaik, Punit Rathore

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Convergence of ADAM with Constant Step Size in Non-Convex Settings: A Simple Proof.

Alokendu Mazumder, Bhartendu Kumar, Manan Tayal, Punit Rathore

CoRR, 2023

A Self-Supervised Approach for Cluster Assessment of High-Dimensional Data.

Alokendu Mazumder, Pagadala Krishna Murthy, Punit Rathore

CoRR, 2023

DeepVAT: A Self-Supervised Technique for Cluster Assessment in Image Datasets.

Alokendu Mazumder, Tirthajit Baruah, Akash Kumar Singh, Pagadala Krishna Murthy, Vishwajeet Pattanaik, Punit Rathore

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2021

Perceptual Quality Assessment of DIBR Synthesized Views Using Saliency Based Deep Features.

Shubham Chaudhary, Alokendu Mazumder, Deebha Mumtaz, Vinit Jakhetiya, Badri N. Subudhi

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021