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.
Hierarchical and Density-based Causal Clustering
Kwangho Kim, Edward H. Kennedy, Jisu Kim, Larry Wasserman.
Published in Thirty-eighth
Annual Conference on Neural Information Processing Systems (NeurIPS
2024).
[ arXiv |
NeurIPS ]
CLEMENT: genomic decomposition and reconstruction of
non-tumor subclones
Young-soo Chung, Seungseok Kang, Jisu
Kim, Sangbo Lee, Sangwoo Kim. [2024]
Published in Nucleic Acids Research.
[
NAR
]
On the estimation of persistence intensity functions and
linear representations of persistence diagrams
Weichen Wu,
Jisu Kim, Alessandro Rinaldo. [2024]
Published in The 27th International
Conference on Artificial Intelligence and Statistics (AISTATS 2024).
[ arXiv | AISTATS
]
Robust Manifold Estimation Approach for Evaluating Fidelity
and Diversity
Pum Jun Kim, Yoojin Jang, Jisu Kim, Jaejun
Yoo. [2024]
Published in Thirty-seventh Annual
Conference on Neural Information Processing Systems (NeurIPS 2023).
[ arXiv | NeurIPS ]
Significance of Modes in the Torus by Topological Data
Analysis
Changjo Yu, Sungkyu Jung, Jisu Kim. [2023]
Published in Stat,
Volume 12, Issue 1.
[ Stat
]
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 ]
