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Yuichi Ike

8 papers · 2020–2024 · 5 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (17) 🐣 Hot Topic Early Bird 🔥 Unstoppable · Bronze

Venues

AISTATS (3) ICML (2) AAAI (1) IJCAI (1) NeurIPS (1)

Top co-authors

Frederic Chazal (4) Yuhei Umeda (4) Kentaro Kanamori (3) Ken Kobayashi (3) Takuya Takagi (3) Mathieu Carrière (3) Theo Lacombe (2) Martin Royer (2) Marc Glisse (2) Naoki Nishikawa (1)

Research topics

Machine Learning (8) Core Methods (6) Mathematics & Optimization (4) Artificial Intelligence (3) Core AI (3) Optimization (3) Application Areas (2) Mathematics (2) Optimization & Theory · Machine Learning (2) Deep Learning (1) Learning Types (1) Optimization & Theory · Deep Learning (1)

Keywords

topological data analysis (3) decision tree (2) persistence diagram (2) persistent homology (2) actionable recourse (2) counterfactual explanation (2) gradient descent (1) feature interaction (1) out-of-distribution detection (1) neural network layer (1) topological feature (1) persistence homology (1) predictive performance (1) algorithmic recourse (1) random forest (1) persistence map (1) stochastic subgradient (1) real analytic geometry (1) neural network (1) heat kernel signature (1)

Papers

Learning Decision Trees and Forests with Algorithmic Recourse ICML 2024 Adaptive Topological Feature via Persistent Homology: Filtration Learning for Point Clouds NeurIPS 2023 Counterfactual Explanation Trees: Transparent and Consistent Actionable Recourse with Decision Trees AISTATS 2022 ATOL: Measure Vectorization for Automatic Topologically-Oriented Learning AISTATS 2021 Optimizing persistent homology based functions ICML 2021 Ordered Counterfactual Explanation by Mixed-Integer Linear Optimization AAAI 2021 Topological Uncertainty: Monitoring Trained Neural Networks through Persistence of Activation Graphs IJCAI 2021 PersLay: A Neural Network Layer for Persistence Diagrams and New Graph Topological Signatures AISTATS 2020