talks
Slides and posters from various presentations
Below are some slides from a selection of talks (research and other). Talks which are basically the same are grouped, with the most recent (= most typo-free) version on top.
If you see something egregious let me know and I’ll try to update!
Selected research talks
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[2025-12-06] Building a STAIRWAI to COSMOS An AI-enabled testbed for Wireless+AI, AI4NextG Workshop at NeurIPS 2025.
- [2025-11-22] Understanding and using the embedding spaces of large generative models, University of Illinois Chicago (Chicago, IL, USA)
- [2025-10-23] Tecnológico de Monterrey, Campus León (León, Guanajuato, Mexico)
- [2025-10-22] Universidad Michoacana de San Nicolás de Hidalgo (Morelia, Michoacán, Mexico)
- [2025-08-15] Monash University (Melbourne, Australia)
- [2025-10-24] An information theorist’s tour of differential privacy, Centro de Investigación en Matemáticas (Guanajuato, Guanajuato, Mexico)
- [2025-08-04] Macquarie University (Sydney, Australia)
- [2025-05-20] INFORMED-AI Seminar, University of Bristol (Bristol, UK)
- [2025-08-13] Communication against restricted adversaries: between Shannon and Hamming, University of Melbourne (Melbourne, Austalia)
- [2025-08-07] University of Sydney (Sydney, Australia)
- [2024-07-24] Chinese University of Hong Kong (CUHK) (Hong Kong SAR, China)
- [2025-07-31] Flexible Tensor Decompositions for Learning and Optimization, Southwest Jiaotong University (Chengdu, China)
- [2025-04-07] IIT-Hyderabad (Hyderabad, Telangana, India)
- [2025-04-07] IIIT-Hyderabad (Hyderabad, Telangana, India)
- [2024-07-18] Center for Advanced Mathematical Sciences, American University of Beirut (Beirut, Lebanon)
- [2025-03-28] Center for Information and Systems Engineering, Boston Universiry (Boston, USA)
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[2025-07-28] Are modern ML models like scientific instruments?, AICIT 2025 (Guangzhou, China)
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[2025-01-16] Exploring strange neu(ral network) worlds with well-worn tools, BIRS Workshop on Machine Learning and Statistics: From Theory to Practice, Chennai Mathematical Institute, (Chennai, India)
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[2024-07-04] Computationally Efficient Codes for Adversarial Binary-Erasure Channels, Imperial College, (London, UK)
- [2024-04-15] Differential privacy can also enable scientific collaboration, IEEE ITSOC Distinguished Lecture, Sungkyunkwan University, (Suwon, South Korea)
Posters
- [2025-04-08] Y. Tao, A.D. Sarwate, Differentially Private Distribution Estimation Using Functional Approximation, IEEE ICASSP 2025, (Hyderabad, India)
Other presentations
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[2026-02-25] Communicating your research to others, Rutgers ECE Department Graduate Student Association
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[2024-09-19] Getting Into Undergraduate Research in ECE at Rutgers, Undergraduate Research Discovery Day, Rutgers University