Repelling-Attracting Hamiltonian Monte Carlo for Multimodal Sampling
Siddharth Vishwanath & Hyungsuk Tak
In Preparation. (2021)
Efficient and Outlier Robust Topological Inference
Siddharth Vishwanath, Bharath Sriperumbudur, Kenji Fukumizu & Satoshi Kuriki
In Preparation. (2021)
Topological Inference for Random Dot-Product Graphs under Local Differential Privacy
Siddharth Vishwanath & Jonathan Hehir
In Preparation. (2021)
The Shape of Edge Differential Privacy
Siddharth Vishwanath & Jonathan Hehir
Theory and Practice of Differential Privacy Workshop. ICML (2021)
[Poster],
[Workshop Paper]
Robust Persistence Diagrams using Reproducing Kernels
Siddharth Vishwanath, Kenji Fukumizu, Satoshi Kuriki & Bharath Sriperumbudur
Advances in Neural Information Processing Systems. NeurIPS. (2020)
[Link],
[Slides],
[Code],
[Poster]
Statistical Invariance of Betti Numbers in the Thermodynamic Regime
Siddharth Vishwanath, Kenji Fukumizu, Satoshi Kuriki & Bharath Sriperumbudur
ar iv preprint. (2020)
[Paper],
[Slides],
[Talk]
Bayesian Inference and Optimal Censoring Scheme under Progressive Censoring
Siddharth Vishwanath & Debasis Kundu
Advances in Reliability and System Engineering. Springer. (2017)
[Link]