Masakazu Ishihata

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 24

Top Topics

Combinatorial Optimization

Weighted Max Sat

Influence Spread

Binary Decision Diagrams

Top Venues

Publications

Yuiko Tsunomori, Masakazu Ishihata, Hiroaki Sugiyama
Time-Considerable Dialogue Models via Reranking by Time Dependency. EMNLP (Findings) (2023)
Masakazu Ishihata
The Bag-Based Search: A Meta-Algorithm to Construct Tractable Logical Circuits for Graphs Based on Tree Decomposition. COCOA (2) (2023)
Hideo Bannai, Keisuke Goto, Masakazu Ishihata, Shunsuke Kanda, Dominik Köppl, Takaaki Nishimoto
Computing NP-Hard Repetitiveness Measures via MAX-SAT. ESA (2022)
Hideo Bannai, Keisuke Goto, Masakazu Ishihata, Shunsuke Kanda, Dominik Köppl, Takaaki Nishimoto
Computing NP-hard Repetitiveness Measures via MAX-SAT. CoRR (2022)
Masakazu Ishihata, Fumiya Tokumasu
Solving and Generating Nagareru Puzzles. SEA (2022)
Koh Takeuchi, Masaaki Imaizumi, Shunsuke Kanda, Yasuo Tabei, Keisuke Fujii, Ken Yoda, Masakazu Ishihata, Takuya Maekawa
Fréchet Kernel for Trajectory Data Analysis. SIGSPATIAL/GIS (2021)
Kyohei Atarashi, Masakazu Ishihata
Vertical Federated Learning for Higher-Order Factorization Machines. PAKDD (2) (2021)
Hirofumi Suzuki, Masakazu Ishihata, Shin-ichi Minato
Designing Survivable Networks with Zero-Suppressed Binary Decision Diagrams. WALCOM (2020)
Kentaro Kanamori, Satoshi Hara, Masakazu Ishihata, Hiroki Arimura
Enumeration of Distinct Support Vectors for Interactive Decision Making. CoRR (2019)
Masakazu Ishihata, Takanori Maehara
Exact Bernoulli Scan Statistics using Binary Decision Diagrams. IJCAI (2019)
Satoshi Hara, Masakazu Ishihata
Approximate and Exact Enumeration of Rule Models. AAAI (2018)
Hirofumi Suzuki, Masakazu Ishihata, Shin-ichi Minato
Exact Computation of Strongly Connected Reliability by Binary Decision Diagrams. COCOA (2018)
Shinsaku Sakaue, Masakazu Ishihata
Accelerated Best-First Search With Upper-Bound Computation for Submodular Function Maximization. AAAI (2018)
Shinsaku Sakaue, Masakazu Ishihata, Shin-ichi Minato
Efficient Bandit Combinatorial Optimization Algorithm with Zero-suppressed Binary Decision Diagrams. AISTATS (2018)
Masakazu Ishihata, Takanori Maehara, Tomas Rigaux
Algorithmic Meta-Theorems for Monotone Submodular Maximization. CoRR (2018)
Masakazu Ishihata, Shan Gao, Shin-ichi Minato
Fast Message Passing Algorithm Using ZDD-Based Local Structure Compilation. AMBN (2017)
Shinsaku Sakaue, Masakazu Ishihata, Shin-ichi Minato
Practical Adversarial Combinatorial Bandit Algorithm via Compression of Decision Sets. CoRR (2017)
Takanori Maehara, Hirofumi Suzuki, Masakazu Ishihata
Exact Computation of Influence Spread by Binary Decision Diagrams. WWW (2017)
Takanori Maehara, Hirofumi Suzuki, Masakazu Ishihata
Exact Computation of Influence Spread by Binary Decision Diagrams. CoRR (2017)
Junpei Komiyama, Masakazu Ishihata, Hiroki Arimura, Takashi Nishibayashi, Shin-ichi Minato
Statistical Emerging Pattern Mining with Multiple Testing Correction. KDD (2017)
Mathieu Blondel, Akinori Fujino, Naonori Ueda, Masakazu Ishihata
Higher-Order Factorization Machines. CoRR (2016)
Mathieu Blondel, Akinori Fujino, Naonori Ueda, Masakazu Ishihata
Higher-Order Factorization Machines. NIPS (2016)
Mathieu Blondel, Masakazu Ishihata, Akinori Fujino, Naonori Ueda
Polynomial Networks and Factorization Machines: New Insights and Efficient Training Algorithms. ICML (2016)
Mathieu Blondel, Masakazu Ishihata, Akinori Fujino, Naonori Ueda
Polynomial Networks and Factorization Machines: New Insights and Efficient Training Algorithms. CoRR (2016)
Masakazu Ishihata, Tomoharu Iwata
Generating structure of latent variable models for nested data. UAI (2014)
Gabriel Synnaeve, Katsumi Inoue, Andrei Doncescu, Hidetomo Nabeshima, Yoshitaka Kameya, Masakazu Ishihata, Taisuke Sato
Discretized Kinetic Models for Abductive Reasoning in Systems Biology. BIOSTEC (Selected Papers) (2011)
Masakazu Ishihata, Taisuke Sato, Shin-ichi Minato
Compiling Bayesian Networks for Parameter Learning Based on Shared BDDs. Australasian Conference on Artificial Intelligence (2011)
Taisuke Sato, Masakazu Ishihata, Katsumi Inoue
Constraint-based probabilistic modeling for statistical abduction. Mach. Learn. 83 (2) (2011)
Masakazu Ishihata, Yoshitaka Kameya, Taisuke Sato
Variational Bayes Inference for Logic-Based Probabilistic Models on BDDs. ILP (2011)
Gabriel Synnaeve, Katsumi Inoue, Andrei Doncescu, Hidetomo Nabeshima, Yoshitaka Kameya, Masakazu Ishihata, Taisuke Sato
Kinetic Models and Qualitative Abstraction for Relational Learning in Systems Biology. BIOINFORMATICS (2011)
Masakazu Ishihata, Taisuke Sato
Bayesian inference for statistical abduction using Markov chain Monte Carlo. ACML (2011)
Masakazu Ishihata, Yoshitaka Kameya, Taisuke Sato, Shin-ichi Minato
An EM Algorithm on BDDs with Order Encoding for Logic-based Probabilistic Models. ACML (2010)
Katsumi Inoue, Taisuke Sato, Masakazu Ishihata, Yoshitaka Kameya, Hidetomo Nabeshima
Evaluating Abductive Hypotheses using an EM Algorithm on BDDs. IJCAI (2009)