Causal Clustering
Kwangho Kim, Edward H.
Kennedy, Jisu Kim, Larry Wasserman.
Persistent homology of density filtration on rips
complex
Jaehyeok Shin, Jisu Kim, Alessandro Rinaldo, Larry
Wasserman.
Distribution Regression in Semi-supervised Learning
Kwangho Kim, Jisu Kim, Barnabás Póczos.
Robust Manifold Estimation Approach for Evaluating Fidelity
and Diversity
Pum Jun Kim, Yoojin Jang, Jisu Kim, Jaejun
Yoo. [2023]
[ arXiv
]
Topological Learning for Motion Data via Mixed
Coordinates
Hengrui Luo, Alice Patania, Jisu Kim, Mikael
Vejdemo-Johansson. [2021]
Published in Workshop
on Applications of Topological Data Analysis to “Big Data”.
Generalized Penalty for Circular Coordinate
Representation
Hengrui Luo, Alice Patania, Jisu Kim,
Mikael Vejdemo-Johansson. [2021]
Published in Foundations of
Data Science (FoDS).
[ arXiv | FoDS
| DOI | BibTeX
]
PLLay: Efficient Topological Layer based on Persistence
Landscapes
Kwangho Kim, Jisu Kim, Manzil Zaheer, Joon Sik
Kim, Frédéric Chazal, Larry Wasserman. [2021]
Published in Advances in Neural Information
Processing Systems 33 (NeurIPS 2020).
[ arXiv | GitHub | BibTeX
]
Homotopy Reconstruction via the Cech Complex and the
Vietoris-Rips Complex
Jisu Kim, Jaehyeok Shin, Frédéric
Chazal, Alessandro Rinaldo, Larry Wasserman. [2020]
Published in the 36th International Symposium on
Computational Geometry (SoCG 2020).
[ arXiv | HAL | DOI | BibTeX ]
Time Series Featurization via Topological Data
Analysis
Kwangho Kim, Jisu Kim, Alessandro Rinaldo,
Frédéric Chazal. [2019]
[ arXiv | BibTeX
]
Uniform Convergence Rate of the Kernel Density Estimator
Adaptive to Intrinsic Volume Dimension
Jisu Kim, Jaehyeok
Shin, Alessandro Rinaldo, Larry Wasserman. [2019]
Published in Thirty-sixth International
Conference on Machine Learning (ICML 2019).
[ arXiv | HAL | PMLR | BibTeX ]
Estimating the Reach of a Manifold
Eddie
Aamari, Jisu Kim, Frédéric Chazal, Bertrand Michel, Alessandro Rinaldo,
Larry Wasserman. [2019]
Published in Electronic Journal of
Statistics, Volume 13, Number 1.
[ arXiv | HAL | Electronic
Journal of Statistics | BibTeX
]
Minimax Rates for Estimating the Dimension of a
Manifold
Jisu Kim, Alessandro Rinaldo, Larry Wasserman.
[2019]
Published in Journal of
Computational Geometry, Volume 10, Number 1.
[ arXiv | Journal
of Computational Geometry | BibTeX
]
Time Series Featurization via Topological Data Analysis: an
Application to Cryptocurrency Trend Forecasting
Kwangho
Kim, Jisu Kim, Alessandro Rinaldo. [2018]
[ arXiv | BibTeX
]
Causal effects based on distributional distances
Kwangho Kim, Jisu Kim, Edward H. Kennedy. [2018]
[ arXiv | BibTeX
]
Think before You Discard: Accurate Triangle Counting in Graph
Streams with Deletions
Kijung Shin, Jisu Kim, Bryan Hooi,
Christos Faloutsos. [2018]
Published in European Conference on Machine
Learning and Principles and Practice of Knowledge Discovery in Databases
2018.
[ paper
| appendix
| www (code and
datasets) | BibTeX
]
DenseAlert: Incremental Dense-Subtensor Detection in Tensor
Streams
Kijung Shin, Bryan Hooi, Jisu Kim, Christos
Faloutsos. [2017]
Published in The 23rd SIGKDD Conference on
Knowledge Discovery and Data Mining (KDD 2017).
[ paper
| appendix
| www (code and
datasets) | BibTeX
]
D-Cube: Dense-Block Detection in Terabyte-Scale
Tensors
Kijung Shin, Bryan Hooi, Jisu Kim, Christos
Faloutsos. [2017]
Published in The 10th ACM International
Conference on Web Search and Data Mining (WSDM 2017).
[ paper
| appendix
| www (code and
datasets) | BibTeX
]
Statistical Inference for Cluster Trees
Jisu
Kim, Yen-Chi Chen, Sivaraman Balakrishnan, Alessandro Rinaldo, Larry
Wasserman. [2017]
Published in Advances in Neural Information
Processing Systems 29 (NIPS 2016).
[ arXiv | NIPS
| BibTeX
]
Introduction to the R package TDA
Brittany T.
Fasy, Jisu Kim, Fabrizio Lecci, Clement Maria, David L. Millman, Vincent
Rouvreau. [2014]
[ arXiv | BibTeX
]
PLLay: Efficient Topological Layer based on Persistence
Landscapes
The 24th Korea-Japan
Joint Workshop on Algorithms and Computation (WAAC 2024), Seoul,
Republic of Korea [2024-08-03]
[ slides ]
Featurization of Topological Data Analysis using Persistence
Landscape and Circular coordinates
2022 Joint Statistical
Meetings (JSM 2022), Washington, USA [2022-08-11]
Application of Topological Data Analysis to Transport Mode
Recognition and Digital Rock Physics
DataShape, Inria Saclay,
Hyères, France [2022-05-12]
Topological Learning for Motion Data via Mixed
Coordinates
Workshop: Applications of Topological Data
Analysis to ‘Big Data’ in 2021 IEEE International
Conference on Big Data (IEEE BigData 2021), Virtual [2021-12-15]
위상학적 자료 분석(Topological Data Analysis)의 통계적
추정
2021년도 한국통계학회 창립 50주년 기념 추계학술논문발표회,
Virtual [2021-11-06]
Confidence band for Persistent Homology of KDEs
Bernoulli-IMS 10th World Congress in
Probability and Statistics, Virtual [2021-07-20]
Statistical Inference for Cluster Trees
Bernoulli-IMS 10th World Congress in
Probability and Statistics, Virtual [2021-07-19]
Statistical Inference For Geometric and Topological
Data
Statistics and Data Science Seminar in Department of Mathematics, Statistics, and
Computer Science, University of
Illinois Chicago, Virtual [2020-09-30]
[ slides | abstract
]
Confidence Band for Persistent Homology
Statistical Methods for Topological Data Analysis in 2020 Joint Statistical
Meetings (JSM 2020), Virtual [2020-08-06]
[ slides | abstract
]
Homotopy Reconstruction via the Cech Complex and the
Vietoris-Rips Complex
The 36th International Symposium on
Computational Geometry (SoCG 2020), Virtual [2020-06-25]
[ slides ]
R Package TDA for Statistical Inference on Topological Data
Analysis
TDA Seminar
in University of California Los
Angeles, Los Angeles (USA) [2020-01-09]
[ slides | tutorial | code ]
Persistent Homology of KDE filtration on Rips complex and
Related Work
DataShape, Inria Saclay,
Hyères (France) [2019-10-18]
[ slides ]
Uniform Convergence Rate of the Kernel Density Estimator
Adaptive to Intrinsic Volume Dimension
Thirty-sixth International
Conference on Machine Learning (ICML 2019), Long Beach (USA)
[2019-06-11]
[ slides ]
R Package TDA for Statistical Inference on Topological Data
Analysis
NSF-CBMS Conference and
Software Day on Topological Methods in Machine Learning and Artificial
Intelligence, Charleston (USA) [2019-05-18]
[ slides | tutorial |
code ]
R Package TDA for Statistical Inference on Topological Data
Analysis
Recent
Progresses in Data Analysis - Part I of II in SIAM
Conference on Computational Science and Engineering, Spokane (USA)
[2019-02-25]
[ slides | tutorial |
code | abstract
]
Persistent homology of kenel density estimator filtration on
Rips complex
Institut
Henri Poincaré seminar, Paris (France) [2018-10-29]
[ slides
]
R Package TDA for Statistical Inference on Topological Data
Analysis and Lessons from its Maintenance
Pittsburgh (USA)
[2018-10-11]
[ slides | tutorial | code ]
R Package TDA for Topological Data Analysis
Educational
Forum on the Teaching of Computational Geometry and Topology: Some
History, Current Practice, and Future Trends in The 34th International
Symposium on Computational Geometry, Budapest (Hungary) [2018-06-13]
[ slides |
tutorial |
code ]
Estimating the Reach of a Manifold
Statistical
Topological Data Analysis II in 42nd SIAM Southeastern Atlantic
Sectional Conference, Chapel Hill (USA) [2018-03-10]
[ slides ]
Introduction to the R package TDA
Synergies
in Geometric Data Analysis in Advances in Neural Information
Processing Systems 30 (NIPS 2017), Long Beach (USA) [2017-12-09]
[ slides | tutorial | code ]
Statistical inference on persistent homology of density
filtration on Rips complex
Topological
Methods in Brain Network Analysis, Banff (Canada) [2017-05-08]
[ slides
| video
]
R Package TDA for Statistical Inference on Topological Data
Analysis
Topological
Methods in Brain Network Analysis, Banff (Canada) [2017-05-08]
[ slides
| tutorial
| code
| video
]
Statistical Inference on Topological Data Analysis
AMS
Special Session on Statistical Methods in Computational Topology and
Applications in 2017 Joint Mathematics
Meetings, Atlanta (USA) [2017-01-04]
[ slides | abstract
]
R Package TDA for Statistical Inference on Topological Data
Analysis
5th
Mini Symposium on Computational Topology in The 32nd International
Symposium on Computational Geometry (SoCG 2016), Boston (USA)
[2016-06-16]
[ slides | abstract
]
Minimax Rate for Estimating the Dimension of a
Manifold
Special Session on Topological Data Analysis:
Computations, Statistics, and Applications in AMS Fall
Eastern Sectional Meeting, New Brunswick (USA) [2015-11-14]
[
slides | abstract
]
Minimax Rate for Dimension Estimator
The 60th ISI World Statistics
Congress, Rio de Janeiro (Brazil) [2015-07-27]
[ slides ]
Tutorial on the R Package TDA
The 4th Annual
Minisymposium on Computational Topology in The 31st International Symposium
on Computational Geometry, Eindhoven (Netherlands) [2015-06-23]
[ slides
| tutorial
| code
]
Minimax Rate for Estimating the Dimension of a
Manifold
TopData
in Inria Geometrica,
Paris (France) [2015-05-28]
[ slides ]
TopP&R: Robust Support Estimation Approach for Evaluating
Fidelity and Diversity in Generative Models
Thirty-sixth International
Conference on Machine Learning (ICML 2019), Long Beach (USA)
[2019-06-11]
[ NeurIPS | poster ]
Uniform Convergence Rate of the Kernel Density Estimator
Adaptive to Intrinsic Volume Dimension
Thirty-sixth International
Conference on Machine Learning (ICML 2019), Long Beach (USA)
[2019-06-11]
[ poster ]
Persistent homology of KDE filtration on Rips
complex
Workshop on
Applied Topology 2019, Kyoto (Japan) [2019-01-08]
[ poster | abstract
]
R Package TDA for Statistical Inference on Topological Data
Analysis
Joint Statistical
Meetings 2017, Baltimore (USA) [2017-07-30]
[ poster | abstract
]
Estimating the Reach of a Manifold
UC Davis RTG
Statistical Sciences Symposium: Geometry, Statistics and Data
Analysis,Davis (USA) [2017-05-19]
[ poster ]
R Package TDA: Statistical Tools for Topological Data
Analysis
ASA Pittsburgh Chapter Spring Banquet, Pittsburgh
(USA) [2017-04-04]
[ poster ]
Statistical Inference for Cluster Trees
Advances in Neural Information
Processing Systems 29 (NIPS 2016), Barcelona (Spain) [2016-12-06]
[ poster ]
Minimax Reach Estimator
Topology, Geometry,
and Data Analysis Conference at OSU, Columbus (USA) [2016-05-16]
[ poster ]
