Jayaram Raghuram
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
10
Venues
5
Active years
2012–2025
Best venue rank
A*
Where they publish
Papers
10 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | CONDA: Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts. | Jihye Choi, Jayaram Raghuram, Yixuan Li, Somesh Jha |
| 2025 | ICLR | Palmbench: a comprehensive Benchmark of Compressed Large Language Models on Mobile Platforms. | Yilong Li, Jingyu Liu, Hao Zhang, M. Badri Narayanan, Utkarsh Sharma, Shuai Zhang, Yijing Zeng, Jayaram Raghuram, Suman Banerjee |
| 2025 | MOBICOM | Medusa: Scalable Multi-View Biometric Sensing in the Wild with Distributed MIMO Radars. | Yilong Li, Ramanujan K. Sheshadri, Karthik Sundaresan, Eugene Chai, Yijing Zeng, Jayaram Raghuram, Suman Banerjee |
| 2024 | NSDI | Cloud-LoRa: Enabling Cloud Radio Access LoRa Networks Using Reinforcement Learning Based Bandwidth-Adaptive Compression. | Muhammad Osama Shahid, Daniel Jay Koch, Jayaram Raghuram, Bhuvana Krishnaswamy, Krishna Chintalapudi, Suman Banerjee |
| 2023 | ICLR | Few-Shot Domain Adaptation For End-to-End Communication. | Jayaram Raghuram, Yijing Zeng, Dolores Garca, Rafael Ruiz, Somesh Jha, Joerg Widmer, Suman Banerjee |
| 2023 | ICLR | The Trade-off between Universality and Label Efficiency of Representations from Contrastive Learning. | Zhenmei Shi, Jiefeng Chen, Kunyang Li, Jayaram Raghuram, Xi Wu, Yingyu Liang, Somesh Jha |
| 2023 | ICML | Stratified Adversarial Robustness with Rejection. | Jiefeng Chen, Jayaram Raghuram, Jihye Choi, Xi Wu, Yingyu Liang, Somesh Jha |
| 2023 | ICML | Concept-based Explanations for Out-of-Distribution Detectors. | Jihye Choi, Jayaram Raghuram, Ryan Feng, Jiefeng Chen, Somesh Jha, Atul Prakash |
| 2021 | ICML | A General Framework For Detecting Anomalous Inputs to DNN Classifiers. | Jayaram Raghuram, Varun Chandrasekaran, Somesh Jha, Suman Banerjee |
| 2012 | CISS | Semisupervised domain adaptation for mixture model based classifiers. | Jayaram Raghuram, David J. Miller, George Kesidis |