Vijay Srinivas Agneeswaran

According to our database, Vijay Srinivas Agneeswaran authored at least 33 papers between 2000 and 2025.

Collaborative distances:

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

2025

SpectFormer: Frequency and Attention is what you need in a Vision Transformer.

Badri N. Patro, Vinay P. Namboodiri, Vijay Srinivas Agneeswaran

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

SiMBA-TS: Simplified Channel Mixing and Mamba for Long-term Time Series Forecasting.

Badri Narayana Patro, Vijay Srinivas Agneeswaran

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Mamba-360: Survey of State Space Models as Transformer Alternative for Long Sequence Modelling: Methods, Applications, and Challenges.

Badri Narayana Patro, Vijay Srinivas Agneeswaran

CoRR, 2024

High Significant Fault Detection in Azure Core Workload Insights.

Pranay Lohia, Laurent Boué, Sharath Kumar Rangappa, Vijay Agneeswaran

CoRR, 2024

Spectral Convolutional Transformer: Harmonizing Real vs. Complex Multi-View Spectral Operators for Vision Transformer.

Badri N. Patro, Vinay P. Namboodiri, Vijay Srinivas Agneeswaran

CoRR, 2024

SiMBA: Simplified Mamba-Based Architecture for Vision and Multivariate Time series.

Badri N. Patro, Vijay Srinivas Agneeswaran

CoRR, 2024

SPASE: Spatial Saliency Explanation For Time Series Models.

Pranay Lohia, Badri Narayana Patro, Naveen Panwar, Vijay Agneeswaran

Proceedings of the IEEE International Conference on Acoustics, 2024

High Significant Fault Detection in Azure Core Workload Insights.

Pranay Lohia, Laurent Boué, Sharath Ranganath, Vijay Agneeswaran

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Efficiency 360: Efficient Vision Transformers.

Badri N. Patro, Vijay Srinivas Agneeswaran

CoRR, 2023

Scattering Vision Transformer: Spectral Mixing Matters.

Badri N. Patro, Vijay Agneeswaran

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Detecting Concept Drift in the Presence of Sparsity - A Case Study of Automated Change Risk Assessment System.

Vishwas Choudhary, Binay Gupta, Anirban Chatterjee, Subhadip Paul, Kunal Banerjee, Vijay Agneeswaran

CoRR, 2022

Don't Miss the Fine Print! An Enhanced Framework to Extract Text from Low Resolution Images.

Pranay Dugar, Aditya Vikram, Anirban Chatterjee, Kunal Banerjee, Vijay Agneeswaran

Proceedings of the 17th International Joint Conference on Computer Vision, 2022

Look before You Leap! Designing a Human-centered AI System for Change Risk Assessment.

Binay Gupta, Anirban Chatterjee, Subhadip Paul, Harika Matha, Lalitdutt Parsai, Kunal Banerjee, Vijay Agneeswaran

Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

2021

Look Before You Leap! Designing a Human-Centered AI System for Change Risk Assessment.

Binay Gupta, Anirban Chatterjee, Harika Matha, Kunal Banerjee, Lalitdutt Parsai, Vijay Agneeswaran

CoRR, 2021

From Pixels to Words: A Scalable Journey of Text Information from Product Images to Retail Catalog.

Pranay Dugar, Rajesh Shreedhar Bhat, Asit Sharad Tarsode, Uddipto Dutta, Kunal Banerjee, Anirban Chatterjee, Vijay Srinivas Agneeswaran

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Finding Bottleneck in Machine Learning Model Life Cycle.

Chandra Mohan Meena, Sarwesh Suman, Vijay Agneeswaran

Proceedings of the 2020 USENIX Conference on Operational Machine Learning, 2020

2013

Paradigms for Realizing Machine Learning Algorithms.

Vijay Srinivas Agneeswaran, Pranay Tonpay, Jayati Tiwary

Big Data, 2013

Real-Time Analytics for the Healthcare Industry: Arrhythmia Detection.

Vijay Srinivas Agneeswaran, Joydeb Mukherjee, Ashutosh Gupta, Pranay Tonpay, Jayati Tiwari, Nitin Agarwal

Big Data, 2013

2012

Big-Data - Theoretical, Engineering and Analytics Perspective.

Vijay Srinivas Agneeswaran

Proceedings of the Big Data Analytics, First International Conference, 2012

2009

Node-Capability-Aware Replica Management for Peer-to-Peer Grids.

Vijay Srinivas Agneeswaran, Dharanipragada Janakiram

IEEE Trans. Syst. Man Cybern. Part A, 2009

2008

Peer-to-Peer Issue Tracking System: Challenges and Solutions.

Vijay Srinivas Agneeswaran, Rammohan Narendula, Karl Aberer

Proceedings of the Software Engineering 2008, 2008

A complex system inspired theoretical formalism for data management in Peer-to-Peer grids.

Vijay Srinivas Agneeswaran, Dharanipragada Janakiram

Proceedings of the 22nd IEEE International Symposium on Parallel and Distributed Processing, 2008

2007

Data Management in Distributed Systems: A Scalability Taxonomy.

A. Vijay Srinivas, D. Janakiram

Scalable Comput. Pract. Exp., 2007

2006

Soma: a compositional language for distributed systems.

D. Janakiram, R. Venkateswarlu, A. Vijay Srinivas, A. Uday Kumar

ACM SIGPLAN Notices, 2006

Scaling a Shared Object Space to the Internet: Case Study of Virat.

A. Vijay Srinivas, D. Janakiram

J. Object Technol., 2006

Distributed Wisdom: Designing a Replication Service for Large Peer-to-Peer Data Grids.

A. Vijay Srinivas, M. Venkateswara Reddy, D. Janakiram

IEEE Distributed Syst. Online, 2006

Vishwa: A reconfigurable P2P middleware for Grid Computations.

M. Venkateswara Reddy, A. Vijay Srinivas, Tarun Gopinath, D. Janakiram

Proceedings of the 2006 International Conference on Parallel Processing (ICPP 2006), 2006

2005

A model for characterizing the scalability of distributed systems.

A. Vijay Srinivas, D. Janaki Ram

ACM SIGOPS Oper. Syst. Rev., 2005

Moset: An anonymous remote mobile cluster computing paradigm.

M. A. Maluk Mohamed, A. Vijay Srinivas, D. Janakiram

J. Parallel Distributed Comput., 2005

Avalanche Dynamics in Grids: Indications of SOC or HOT?

A. Vijay Srinivas, D. Janakiram, M. Venkateswara Reddy

Proceedings of the Self-Organization and Autonomic Informatics (I), 2005

GDP: A Paradigm for Intertask Communication in Grid Computing Through Distributed Pipes.

D. Janakiram, M. Venkateswara Reddy, A. Vijay Srinivas, M. A. Maluk Mohamed, S. Santosh Kumar

Proceedings of the Distributed Computing and Internet Technology, 2005

2004

A model for parallel programming over CORBA.

D. Janaki Ram, A. Vijay Srinivas, P. Manjula Rani

J. Parallel Distributed Comput., 2004

2000

Scalability Issues in CORBA.

P. Manjula Rani, A. Vijay Srinivas, D. Janaki Ram

Proceedings of the International Symposium on Software Engineering for Parallel and Distributed Systems, 2000