Takanori Maehara

ORCID

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 94

Top Venues

Publications

Abdalgader Abubaker, Takanori Maehara, Madhav Nimishakavi, Vassilis Plachouras
Self-Supervised Pretraining for Heterogeneous Hypergraph Neural Networks. CoRR (2023)
Takanori Maehara, So Nakashima
Rank axiom of modular supermatroids: A connection with directional DR submodular functions. Adv. Appl. Math. 134 (2022)
Takanori Maehara, So Nakashima, Yutaro Yamaguchi
Multiple knapsack-constrained monotone DR-submodular maximization on distributive lattice. Math. Program. 194 (1) (2022)
Takanori Maehara, Kazutoshi Ando
Optimal Algorithm for Finding Representation of Subtree Distance. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (9) (2022)
Kenshin Abe, Takanori Maehara, Issei Sato
Abelian Neural Networks. CoRR (2021)
Takanori Maehara, Hoang NT
Learning on Random Balls is Sufficient for Estimating (Some) Graph Parameters. NeurIPS (2021)
Soh Kumabe, Takanori Maehara
r-Gathering Problems on Spiders: Hardness, FPT Algorithms, and PTASes. WALCOM (2021)
Soh Kumabe, Takanori Maehara
Prophet Secretary for k-Knapsack and l-Matroid Intersection via Continuous Exchange Property. IWOCA (2021)
Takanori Maehara, Hoang NT
Learning on Random Balls is Sufficient for Estimating (Some) Graph Parameters. CoRR (2021)
Akihiro Yabe, Takanori Maehara
Tightly Robust Optimization via Empirical Domain Reduction. CoRR (2020)
Kazuto Fukuchi, Satoshi Hara, Takanori Maehara
Faking Fairness via Stealthily Biased Sampling. AAAI (2020)
Mario Coutino, Sundeep Prabhakar Chepuri, Takanori Maehara, Geert Leus
Fast Spectral Approximation of Structured Graphs with Applications to Graph Filtering. Algorithms 13 (9) (2020)
Yoichi Sasaki, Takanori Maehara, Takumi Akazaki, Kazeto Yamamoto, Kunihiko Sadamasa
Solving Weighted Abduction via Max-SAT Solvers. FLAIRS Conference (2020)
Mario Coutino, Elvin Isufi, Takanori Maehara, Geert Leus
State-Space Network Topology Identification From Partial Observations. IEEE Trans. Signal Inf. Process. over Networks 6 (2020)
Hoang NT, Takanori Maehara, Tsuyoshi Murata
Revisiting Graph Neural Networks: Graph Filtering Perspective. ICPR (2020)
Takanori Maehara, Yutaro Yamaguchi
Stochastic packing integer programs with few queries. Math. Program. 182 (1) (2020)
Yoichi Sasaki, Kosuke Akimoto, Takanori Maehara
Learning Directly from Grammar Compressed Text. CoRR (2020)
Soh Kumabe, Takanori Maehara
Convexity of b-matching Games. IJCAI (2020)
Hoang NT, Takanori Maehara
Graph Homomorphism Convolution. CoRR (2020)
Hoang Nguyen, Takanori Maehara
Graph Homomorphism Convolution. ICML (2020)
Soh Kumabe, Takanori Maehara
Convexity of Hypergraph Matching Game. AAMAS (2020)
Yoshifumi Seki, Takanori Maehara
A Method to Anonymize Business Metrics to Publishing Implicit Feedback Datasets. RecSys (2020)
Soh Kumabe, Takanori Maehara
r-Gathering Problems on Spiders: Hardness, FPT Algorithms, and PTASes. CoRR (2020)
Hoang NT, Takanori Maehara, Tsuyoshi Murata
Stacked Graph Filter. CoRR (2020)
Mario Coutino, Elvin Isufi, Takanori Maehara, Geert Leus
State-Space Based Network Topology Identification. EUSIPCO (2020)
Takanori Maehara, Hoang NT
A Simple Proof of the Universality of Invariant/Equivariant Graph Neural Networks. CoRR (2019)
Kazuto Fukuchi, Satoshi Hara, Takanori Maehara
Pretending Fair Decisions via Stealthily Biased Sampling. CoRR (2019)
Satoshi Hara, Atsushi Nitanda, Takanori Maehara
Data Cleansing for Models Trained with SGD. CoRR (2019)
Ben Chugg, Takanori Maehara
Submodular Stochastic Probing with Prices. CoDIT (2019)
Junjie Chen, Takanori Maehara
Chance-Constrained Submodular Knapsack Problem. COCOON (2019)
Satoshi Hara, Atsushi Nitanda, Takanori Maehara
Data Cleansing for Models Trained with SGD. NeurIPS (2019)
Satoshi Hara, Takanori Maehara
Convex Hull Approximation of Nearly Optimal Lasso Solutions. PRICAI (2) (2019)
Akihiro Yabe, Takanori Maehara
Empirical Hypothesis Space Reduction. CoRR (2019)
So Nakashima, Takanori Maehara
Subspace Selection via DR-Submodular Maximization on Lattices. AAAI (2019)
Takanori Maehara, Yuma Inoue
Group Decision Diagram (GDD): A Compact Representation for Permutations. AAAI (2019)
Mohammed Alsuhaibani, Takanori Maehara, Danushka Bollegala
Joint Learning of Hierarchical Word Embeddings from a Corpus and a Taxonomy. AKBC (2019)
Takanori Maehara, Yutaro Yamaguchi
Stochastic Monotone Submodular Maximization with Queries. CoRR (2019)
Takuro Fukunaga, Takanori Maehara
Computing a tree having a small vertex cover. Theor. Comput. Sci. 791 (2019)
Soh Kumabe, Takanori Maehara
PTAS and Exact Algorithms for r-Gathering Problems on Tree. CoRR (2019)
Soh Kumabe, Takanori Maehara
r-Gather Clustering and r-Gathering on Spider: FPT Algorithms and Hardness. CoRR (2019)
Takanori Maehara, So Nakashima, Yutaro Yamaguchi
Multiple Knapsack-Constrained Monotone DR-Submodular Maximization on Distributive Lattice - Continuous Greedy Algorithm on Median Complex -. CoRR (2019)
Soh Kumabe, Takanori Maehara, Ryoma Sin'ya
Linear Pseudo-Polynomial Factor Algorithm for Automaton Constrained Tree Knapsack Problem. WALCOM (2019)
Hoang NT, Takanori Maehara
Revisiting Graph Neural Networks: All We Have is Low-Pass Filters. CoRR (2019)
Takanori Maehara, Kazutoshi Ando
Optimal Algorithm to Reconstruct a Tree from a Subtree Distance. CoRR (2019)
Ikumi Hide, Soh Kumabe, Takanori Maehara
Incorrect implementations of the Floyd-Warshall algorithm give correct solutions after three repeats. CoRR (2019)
Masakazu Ishihata, Takanori Maehara
Exact Bernoulli Scan Statistics using Binary Decision Diagrams. IJCAI (2019)
Takayuki Osogami, Rudy Raymond, Akshay Goel, Tomoyuki Shirai, Takanori Maehara
Dynamic Determinantal Point Processes. AAAI (2018)
Tatsunori Taniai, Takanori Maehara
Neural Inverse Rendering for General Reflectance Photometric Stereo. ICML (2018)
Satoshi Hara, Kouichi Ikeno, Tasuku Soma, Takanori Maehara
Maximally Invariant Data Perturbation as Explanation. CoRR (2018)
Mario Coutino, Elvin Isufi, Takanori Maehara, Geert Leus
On The Limits of Finite-Time Distributed Consensus Through Successive Local Linear Operations. ACSSC (2018)
Yutaro Yamaguchi, Takanori Maehara
Stochastic Packing Integer Programs with Few Queries. SODA (2018)
Tatsunori Taniai, Takanori Maehara
Neural Photometric Stereo Reconstruction for General Reflectance Surfaces. CoRR (2018)
Takanori Maehara, Naoki Marumo, Kazuo Murota
Continuous relaxation for discrete DC programming. Math. Program. 169 (1) (2018)
Danushka Bollegala, Vincent Atanasov, Takanori Maehara, Ken-ichi Kawarabayashi
ClassiNet - Predicting Missing Features for Short-Text Classification. CoRR (2018)
Soh Kumabe, Takanori Maehara, Ryoma Sin'ya
Linear Pseudo-Polynomial Factor Algorithm for Automaton Constrained Tree Knapsack Problem. CoRR (2018)
So Nakashima, Takanori Maehara
Subspace Selection via DR-Submodular Maximization on Lattices. CoRR (2018)
Masakazu Ishihata, Takanori Maehara, Tomas Rigaux
Algorithmic Meta-Theorems for Monotone Submodular Maximization. CoRR (2018)
Taro Takaguchi, Takanori Maehara, Ken-ichi Kawarabayashi, Masashi Toyoda
Existence of outsiders as a characteristic of online communication networks. Netw. Sci. 6 (4) (2018)
Takanori Maehara, Atsuhiro Narita, Jun Baba, Takayuki Kawabata
Optimal Bidding Strategy for Brand Advertising. IJCAI (2018)
Ben Chugg, Takanori Maehara
Submodular Stochastic Probing with Prices. CoRR (2018)
Danushka Bollegala, Vincent Atanasov, Takanori Maehara, Ken-ichi Kawarabayashi
ClassiNet - Predicting Missing Features for Short-Text Classification. ACM Trans. Knowl. Discov. Data 12 (5) (2018)
Masaaki Imaizumi, Takanori Maehara, Yuichi Yoshida
Statistically Efficient Estimation for Non-Smooth Probability Densities. AISTATS (2018)
Satoshi Hara, Takanori Maehara
Convex Hull Approximation of Nearly Optimal Lasso Solutions. CoRR (2018)
Junpei Komiyama, Takanori Maehara
A Simple Way to Deal with Cherry-picking. CoRR (2018)
Daisuke Hatano, Takuro Fukunaga, Takanori Maehara, Ken-ichi Kawarabayashi
Scalable Algorithm for Higher-Order Co-Clustering via Random Sampling. AAAI (2017)
Takuro Fukunaga, Takanori Maehara
Computing a tree having a small vertex cover. CoRR (2017)
Takanori Maehara, Hirofumi Suzuki, Masakazu Ishihata
Exact Computation of Influence Spread by Binary Decision Diagrams. WWW (2017)
Masaaki Imaizumi, Takanori Maehara, Kohei Hayashi
On Tensor Train Rank Minimization : Statistical Efficiency and Scalable Algorithm. NIPS (2017)
Satoshi Hara, Takanori Maehara
Enumerate Lasso Solutions for Feature Selection. AAAI (2017)
Takanori Maehara, Hirofumi Suzuki, Masakazu Ishihata
Exact Computation of Influence Spread by Binary Decision Diagrams. CoRR (2017)
Satoshi Takabe, Takanori Maehara, Koji Hukushima
Typical Approximation Performance for Maximum Coverage Problem. CoRR (2017)
Takanori Maehara, Yutaro Yamaguchi
Stochastic Packing Integer Programs with Few Queries. CoRR (2017)
Takanori Maehara, Yasushi Kawase, Hanna Sumita, Katsuya Tono, Ken-ichi Kawarabayashi
Optimal Pricing for Submodular Valuations with Bounded Curvature. AAAI (2017)
Danushka Bollegala, Mohammed Alsuhaibani, Takanori Maehara, Ken-ichi Kawarabayashi
Joint Word Representation Learning Using a Corpus and a Semantic Lexicon. AAAI (2016)
Ryosuke Nishi, Taro Takaguchi, Keigo Oka, Takanori Maehara, Masashi Toyoda, Ken-ichi Kawarabayashi, Naoki Masuda
Reply trees in Twitter: data analysis and branching process models. Soc. Netw. Anal. Min. 6 (1) (2016)
Takuro Fukunaga, Takanori Maehara
Computing a Tree Having a Small Vertex Cover. COCOA (2016)
Takanori Maehara, Kohei Hayashi, Ken-ichi Kawarabayashi
Expected Tensor Decomposition with Stochastic Gradient Descent. AAAI (2016)
Takanori Maehara, Yasushi Kawase, Hanna Sumita, Katsuya Tono, Ken-ichi Kawarabayashi
Optimal Pricing for Submodular Valuations with Bounded Curvature. CoRR (2016)
Danushka Bollegala, Takanori Maehara, Ken-ichi Kawarabayashi
Embedding Semantic Relations into Word Representations. IJCAI (2015)
Takanori Maehara, Kazuo Murota
Valuated matroid-based algorithm for submodular welfare problem. Ann. Oper. Res. 229 (1) (2015)
Danushka Bollegala, Takanori Maehara, Ken-ichi Kawarabayashi
Embedding Semantic Relations into Word Representations. CoRR (2015)
Takanori Maehara, Akihiro Yabe, Ken-ichi Kawarabayashi
Budget Allocation Problem with Multiple Advertisers: A Game Theoretic View. ICML (2015)
Takanori Maehara, Kazuo Murota
A framework of discrete DC programming by discrete convex analysis. Math. Program. 152 (1-2) (2015)
Takanori Maehara
Risk averse submodular utility maximization. Oper. Res. Lett. 43 (5) (2015)
Danushka Bollegala, Takanori Maehara, Yuichi Yoshida, Ken-ichi Kawarabayashi
Learning Word Representations from Relational Graphs. AAAI (2015)
Danushka Bollegala, Takanori Maehara, Ken-ichi Kawarabayashi
Unsupervised Cross-Domain Word Representation Learning. ACL (1) (2015)
Naoto Ohsaka, Takanori Maehara, Ken-ichi Kawarabayashi
Efficient PageRank Tracking in Evolving Networks. KDD (2015)
Daisuke Hatano, Takuro Fukunaga, Takanori Maehara, Ken-ichi Kawarabayashi
Lagrangian Decomposition Algorithm for Allocating Marketing Channels. AAAI (2015)
Takanori Maehara, Naoki Marumo, Kazuo Murota
Continuous Relaxation for Discrete DC Programming. MCO (1) (2015)
Kohei Hayashi, Takanori Maehara, Masashi Toyoda, Ken-ichi Kawarabayashi
Real-Time Top-R Topic Detection on Twitter with Topic Hijack Filtering. KDD (2015)
Danushka Bollegala, Takanori Maehara, Ken-ichi Kawarabayashi
Unsupervised Cross-Domain Word Representation Learning. CoRR (2015)
Takanori Maehara, Mitsuru Kusumoto, Ken-ichi Kawarabayashi
Scalable SimRank join algorithm. ICDE (2015)
Yasushi Kawase, Takanori Maehara, Ken-ichi Kawarabayashi
Scalable sensor localization via ball-decomposition algorithm. Networking (2015)
Danushka Bollegala, Mohammed Alsuhaibani, Takanori Maehara, Ken-ichi Kawarabayashi
Joint Word Representation Learning using a Corpus and a Semantic Lexicon. CoRR (2015)
Takanori Maehara, Mitsuru Kusumoto, Ken-ichi Kawarabayashi
Efficient SimRank computation via linearizationPublication of this article pending inquiry. KDD (2014)
Takanori Maehara, Mitsuru Kusumoto, Ken-ichi Kawarabayashi
Efficient SimRank Computation via Linearization. CoRR (2014)
Takuya Akiba, Takanori Maehara, Ken-ichi Kawarabayashi
Network structural analysis via core-tree-decomposition Publication of this article pending inquiry. KDD (2014)
Mitsuru Kusumoto, Takanori Maehara, Ken-ichi Kawarabayashi
Scalable similarity search for SimRank. SIGMOD Conference (2014)
Takanori Maehara, Takuya Akiba, Yoichi Iwata, Ken-ichi Kawarabayashi
Computing Personalized PageRank Quickly by Exploiting Graph Structures. Proc. VLDB Endow. 7 (12) (2014)
Danushka Bollegala, Takanori Maehara, Yuichi Yoshida, Ken-ichi Kawarabayashi
Learning Word Representations from Relational Graphs. CoRR (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Takanori Maehara