Vijay Srinivas Agneeswaran

Microsoft (India) — India

Computer Science · Physical Sciences

9h-index314citations33works11.62yr avg
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Research Topics

Anomaly Detection Techniques and Applications(6), Peer-to-Peer Network Technologies(5), Cloud Computing and Resource Management(4), Advanced Neural Network Applications(3), Distributed and Parallel Computing Systems(3)

Publications33 total

Mamba-360: Survey of state space models as transformer alternative for long sequence modelling: Methods, Applications, and Challenges
Engineering Applications of Artificial Intelligence·2025· 22 cited
SiMBA-TS: Simplified Channel Mixing and Mamba for Long-term Time Series Forecasting
2025· 1 cited
SpectFormer: Frequency and Attention is what you need in a Vision Transformer
2025· 31 cited
Mamba-360: Survey of State Space Models as Transformer Alternative for Long Sequence Modelling: Methods, Applications, and Challenges
arXiv (Cornell University)·2024· 5 citedOpen Access
High Significant Fault Detection in Azure Core Workload Insights
arXiv (Cornell University)·2024Open Access
Heracles: A Hybrid SSM-Transformer Model for High-Resolution Image and Time-Series Analysis
arXiv (Cornell University)·2024· 1 citedOpen Access
High Significant Fault Detection in Azure Core Workload Insights
Proceedings of the AAAI Conference on Artificial Intelligence·2024· 2 citedOpen Access
SiMBA: Simplified Mamba-Based Architecture for Vision and Multivariate Time series
arXiv (Cornell University)·2024· 27 citedOpen Access
SPASE: Spatial Saliency Explanation For Time Series Models
2024· 1 cited
Mamba-360: Survey of State Space Models as Transformer Alternative for Long Sequence Modelling: Methods, Applications, and Challenges
SSRN Electronic Journal·2024· 38 citedOpen Access
Explaining the Unexplainable: A Critical Analysis of Explanation Approaches for Vision Transformers
SSRN Electronic Journal·2024Open Access
Scattering Vision Transformer: Spectral Mixing Matters
arXiv (Cornell University)·2023· 6 citedOpen Access
SPASE: SPAtial Saliency Explanation for time series models in Microsoft Azure products
Research Square (Research Square)·2023Open Access
SpectFormer: Frequency and Attention is what you need in a Vision Transformer
arXiv (Cornell University)·2023· 53 citedOpen Access
Efficiency 360: Efficient Vision Transformers
arXiv (Cornell University)·2023· 4 citedOpen Access
Detecting Concept Drift in the Presence of Sparsity -- A Case Study of Automated Change Risk Assessment System
arXiv (Cornell University)·2022· 1 citedOpen Access
Don’t Miss the Fine Print! An Enhanced Framework to Extract Text from Low Resolution Images
Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications·2022· 2 citedOpen Access
Look before You Leap! Designing a Human-centered AI System for Change Risk Assessment
Proceedings of the 14th International Conference on Agents and Artificial Intelligence·2022Open Access
From Pixels to Words
2021· 1 cited
Look Before You Leap! Designing a Human-Centered AI System for Change Risk Assessment
arXiv (Cornell University)·2021Open Access
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Frequent Co-authors

Badri N. Patro(13), Kunal Banerjee(5), Vinay P. Namboodiri(4), D. Janakiram(4), Anirban Chatterjee(4), Pranay Lohia(4), Pranay Tonpay(2), Pranay Dugar(2), Laurent Boué(2), Anirban Chatterjee(2), Naveen Panwar(2), Subhadip Paul(2), Binay Gupta(2), Lalitdutt Parsai(2), Jayati Tiwary(1), Joydeb Mukherjee(1), Ashutosh Gupta(1), Jayati Tiwari(1), Nitin Agarwal(1), Vikram Aditya(1)