Research

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  ⁣χ ⁣\!\mathit{\chi}\! 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]