Jayaram Raghuram

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 12

Top Topics

Semisupervised Learning

Detecting Anomalous

Pricing Mechanism

Top Venues

Feedback Computing

Publications

Muhammad Osama Shahid, Daniel Jay Koch, Jayaram Raghuram, Bhuvana Krishnaswamy, Krishna Chintalapudi, Suman Banerjee
Cloud-LoRa: Enabling Cloud Radio Access LoRa Networks Using Reinforcement Learning Based Bandwidth-Adaptive Compression. NSDI (2024)
Jayaram Raghuram, George Kesidis, David J. Miller
On Trojans in Refined Language Models. CoRR (2024)
Zhenmei Shi, Jiefeng Chen, Kunyang Li, Jayaram Raghuram, Xi Wu, Yingyu Liang, Somesh Jha
The Trade-off between Universality and Label Efficiency of Representations from Contrastive Learning. ICLR (2023)
Jiefeng Chen, Jayaram Raghuram, Jihye Choi, Xi Wu, Yingyu Liang, Somesh Jha
Stratified Adversarial Robustness with Rejection. CoRR (2023)
Zhenmei Shi, Jiefeng Chen, Kunyang Li, Jayaram Raghuram, Xi Wu, Yingyu Liang, Somesh Jha
The Trade-off between Universality and Label Efficiency of Representations from Contrastive Learning. CoRR (2023)
Jihye Choi, Jayaram Raghuram, Ryan Feng, Jiefeng Chen, Somesh Jha, Atul Prakash
Concept-based Explanations for Out-of-Distribution Detectors. ICML (2023)
Jayaram Raghuram, Yijing Zeng, Dolores García, Rafael Ruiz, Somesh Jha, Joerg Widmer, Suman Banerjee
Few-Shot Domain Adaptation For End-to-End Communication. ICLR (2023)
Jiefeng Chen, Jayaram Raghuram, Jihye Choi, Xi Wu, Yingyu Liang, Somesh Jha
Stratified Adversarial Robustness with Rejection. ICML (2023)
Jihye Choi, Jayaram Raghuram, Ryan Feng, Jiefeng Chen, Somesh Jha, Atul Prakash
Concept-based Explanations for Out-Of-Distribution Detectors. CoRR (2022)
Jayaram Raghuram, Yijing Zeng, Dolores García Martí, Somesh Jha, Suman Banerjee, Joerg Widmer, Rafael Ruiz Ortiz
Domain Adaptation for Autoencoder-Based End-to-End Communication Over Wireless Channels. CoRR (2021)
Jayaram Raghuram, Varun Chandrasekaran, Somesh Jha, Suman Banerjee
A General Framework For Detecting Anomalous Inputs to DNN Classifiers. ICML (2021)
Jayaram Raghuram, Varun Chandrasekaran, Somesh Jha, Suman Banerjee
Detecting Anomalous Inputs to DNN Classifiers By Joint Statistical Testing at the Layers. CoRR (2020)
Yuquan Shan, Jayaram Raghuram, George Kesidis, David J. Miller, Anna Scaglione, Jeff Rowe, Karl N. Levitt
Generation bidding game with potentially false attestation of flexible demand. EURASIP J. Adv. Signal Process. 2015 (2015)
Jayaram Raghuram, George Kesidis, Christopher Griffin, Karl N. Levitt, David J. Miller, Jeff Rowe, Anna Scaglione
A Bidding Game for Generators in the Presence of Flexible Demand. Feedback Computing (2014)
Jayaram Raghuram, David J. Miller, George Kesidis
Instance-Level Constraint-Based Semisupervised Learning With Imposed Space-Partitioning. IEEE Trans. Neural Networks Learn. Syst. 25 (8) (2014)
Yuquan Shan, Jayaram Raghuram, George Kesidis, Christopher Griffin, Karl N. Levitt, David J. Miller, Jeff Rowe, Anna Scaglione
Generation bidding game with flexible demand. CoRR (2014)
Jayaram Raghuram, David J. Miller, George Kesidis
Semisupervised domain adaptation for mixture model based classifiers. CISS (2012)
David J. Miller, Jayaram Raghuram, George Kesidis, Christopher M. Collins
Improved Generative Semisupervised Learning Based on Finely Grained Component-Conditional Class Labeling. Neural Comput. 24 (7) (2012)
Z. Berkay Celik, Jayaram Raghuram, George Kesidis, David J. Miller
Salting Public Traces with Attack Traffic to Test Flow Classifiers. CSET (2011)