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Dive into the research topics where Ravi Tandon is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Can Multiple Responses from an LLM Reveal the Sources of Its Uncertainty?
Nan, Y., He, P., Tandon, R. & Xu, H., 2025, EMNLP 2025 - 2025 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2025. Christodoulopoulos, C., Chakraborty, T., Rose, C. & Peng, V. (eds.). Association for Computational Linguistics (ACL), p. 15551-15569 19 p. (EMNLP 2025 - 2025 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Latency-Distortion Tradeoffs in Communicating Classification Results Over Noisy Channels
Teku, N., Adiga, S. & Tandon, R., 2025, In: IEEE Transactions on Communications. 73, 5, p. 3547-3561 15 p.Research output: Contribution to journal › Article › peer-review
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PROPS: Progressively Private Self-alignment of Large Language Models
Teku, N., Tian, F., Bhattacharjee, P., Chakraborty, S., Bedi, A. S. & Tandon, R., 2025, In: Transactions on Machine Learning Research. 2025-DecemberResearch output: Contribution to journal › Article › peer-review
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SPLITZ: Certifiable Robustness via Split Lipschitz Randomized Smoothing
Zhong, M. & Tandon, R., 2025, In: IEEE Transactions on Information Forensics and Security. 20, p. 9099-9112 14 p.Research output: Contribution to journal › Article › peer-review
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Adaptive Privacy for Differentially Private Causal Graph Discovery
Bhattacharjee, P. & Tandon, R., 2024, 34th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2024 - Proceedings. IEEE Computer Society, (IEEE International Workshop on Machine Learning for Signal Processing, MLSP).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution