Saikiran Bulusu

19 papers A* 2A 1B 2Misc 2Journal 10Unranked 2
YearRankTypeTitle / Venue / Authors
2025 A conf
Density-Dependent Group Testing.
AISTATS
Rahil Morjaria, Saikiran Bulusu, Venkata Gandikota, Sidharth Jaggi
2025 A* conf
Dynamic Loss-Based Sample Reweighting for Improved Large Language Model Pretraining.
ICLR
Daouda Sow, Herbert Woisetschläger, Saikiran Bulusu, Shiqiang Wang, Hans-Arno Jacobsen, Yingbin Liang
2025 J jnl
Dynamic Loss-Based Sample Reweighting for Improved Large Language Model Pretraining.
CoRR
Daouda Sow, Herbert Woisetschläger, Saikiran Bulusu, Shiqiang Wang, Hans-Arno Jacobsen, Yingbin Liang
2025 J jnl
Robust Distributed Clustering With Redundant Data Assignment.
IEEE Trans. Inf. Theory
Saikiran Bulusu, Venkata Gandikota, Arya Mazumdar, Ankit Singh Rawat, Pramod K. Varshney
2025 Misc conf
Support Recovery in 1-Bit Compressed Sensing with Burst Sparse Noise.
ICASSP
Saikiran Bulusu, Venkata Gandikota, Pramod K. Varshney
2023 B conf
1-Bit Compressed Sensing with Local Sparsity Patterns.
ISIT
Saikiran Bulusu, Venkata Gandikota, Pramod K. Varshney
2023 J jnl
On Ordered Transmission Based Distributed Gaussian Shift-in-Mean Detection Under Byzantine Attacks.
IEEE Trans. Signal Process.
Chen Quan, Saikiran Bulusu, Baocheng Geng, Yunghsiang S. Han, Nandan Sriranga, Pramod K. Varshney
2022 A* conf
Learning Distributions Generated by Single-Layer ReLU Networks in the Presence of Arbitrary Outliers.
NeurIPS
Saikiran Bulusu, Geethu Joseph, Mustafa Cenk Gursoy, Pramod K. Varshney
2022 — conf
Online Identification of Recurring Changepoints.
IEEECONF
Nandan Sriranga, Anthony Trezza, Saikiran Bulusu, Donald J. Bucci, Pramod K. Varshney
2021 B conf
Byzantine Resilient Distributed Clustering with Redundant Data Assignment.
ISIT
Saikiran Bulusu, Venkata Gandikota, Arya Mazumdar, Ankit Singh Rawat, Pramod K. Varshney
2021 J jnl
Byzantine Resilient Non-Convex SCSG With Distributed Batch Gradient Computations.
IEEE Trans. Signal Inf. Process. over Networks
Saikiran Bulusu, Prashant Khanduri, Swatantra Kafle, Pranay Sharma, Pramod K. Varshney
2020 J jnl
Anomalous Example Detection in Deep Learning: A Survey.
IEEE Access
Saikiran Bulusu, Bhavya Kailkhura, Bo Li, Pramod K. Varshney, Dawn Song
2020 J jnl
Anomalous Instance Detection in Deep Learning: A Survey.
CoRR
Saikiran Bulusu, Bhavya Kailkhura, Bo Li, Pramod K. Varshney, Dawn Song
2020 J jnl
Distributed Stochastic Non-Convex Optimization: Momentum-Based Variance Reduction.
CoRR
Prashant Khanduri, Pranay Sharma, Swatantra Kafle, Saikiran Bulusu, Ketan Rajawat, Pramod K. Varshney
2020 Misc conf
On Distributed Stochastic Gradient Descent for Nonconvex Functions in the Presence of Byzantines.
ICASSP
Saikiran Bulusu, Prashant Khanduri, Pranay Sharma, Pramod K. Varshney
2019 J jnl
Byzantine Resilient Non-Convex SVRG with Distributed Batch Gradient Computations.
CoRR
Prashant Khanduri, Saikiran Bulusu, Pranay Sharma, Pramod K. Varshney
2019 — conf
On Convex Stochastic Variance Reduced Gradient for Adversarial Machine Learning.
GlobalSIP
Saikiran Bulusu, Qunwei Li, Pramod K. Varshney
2019 J jnl
Parallel Restarted SPIDER - Communication Efficient Distributed Nonconvex Optimization with Optimal Computation Complexity.
CoRR
Pranay Sharma, Prashant Khanduri, Saikiran Bulusu, Ketan Rajawat, Pramod K. Varshney
2018 J jnl
Rate Adaptation, Scheduling, and Mode Selection in D2D Systems With Partial Channel Knowledge.
IEEE Trans. Wirel. Commun.
Saikiran Bulusu, Neelesh B. Mehta, Suresh Kalyanasundaram