Kohei SUENAGA

About Kohei SUENAGA

Kohei SUENAGA, With an exceptional h-index of 11 and a recent h-index of 8 (since 2020), a distinguished researcher at Kyoto University, specializes in the field of Program Verification, Automata Learning, Hybrid System, Type Systems, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Sound and relatively complete belief Hoare logic for statistical hypothesis testing programs

Control-data separation and logical condition propagation for efficient inference on probabilistic programs

Learning nonlinear hybrid automata from input–output time-series data

Sampling device and sampling method

Formalizing statistical causality via modal logic

Probabilistic Black-Box Checking via Active MDP Learning

Document Processing Method, and Information Processing Device

HEIR: A Unified Representation for Cross-Scheme Compilation of Fully Homomorphic Computation

Kohei SUENAGA Information

University

Position

___

Citations(all)

495

Citations(since 2020)

236

Cited By

336

hIndex(all)

11

hIndex(since 2020)

8

i10Index(all)

14

i10Index(since 2020)

7

Email

University Profile Page

Google Scholar

Kohei SUENAGA Skills & Research Interests

Program Verification

Automata Learning

Hybrid System

Type Systems

Machine Learning

Top articles of Kohei SUENAGA

Sound and relatively complete belief Hoare logic for statistical hypothesis testing programs

Artificial Intelligence

2024/1/1

Tetsuya Sato
Tetsuya Sato

H-Index: 7

Kohei Suenaga
Kohei Suenaga

H-Index: 7

Control-data separation and logical condition propagation for efficient inference on probabilistic programs

Journal of Logical and Algebraic Methods in Programming

2024/1/1

Kohei Suenaga
Kohei Suenaga

H-Index: 7

Learning nonlinear hybrid automata from input–output time-series data

2023/10/22

Kohei Suenaga
Kohei Suenaga

H-Index: 7

Sampling device and sampling method

2023/10/19

Formalizing statistical causality via modal logic

2023/9/20

Tetsuya Sato
Tetsuya Sato

H-Index: 7

Kohei Suenaga
Kohei Suenaga

H-Index: 7

Probabilistic Black-Box Checking via Active MDP Learning

ACM Transactions on Embedded Computing Systems

2023/9/9

Kohei Suenaga
Kohei Suenaga

H-Index: 7

Document Processing Method, and Information Processing Device

2023/6/15

HEIR: A Unified Representation for Cross-Scheme Compilation of Fully Homomorphic Computation

Cryptology ePrint Archive

2023

Oblivious Online Monitoring for Safety LTL Specification via Fully Homomorphic Encryption

2022/8/7

Kohei Suenaga
Kohei Suenaga

H-Index: 7

The lattice-theoretic essence of property directed reachability analysis

2022/8/7

Kohei Suenaga
Kohei Suenaga

H-Index: 7

Goal-aware RSS for complex scenarios via program logic

IEEE Transactions on Intelligent Vehicles

2022/7/5

Helmholtz: A Verifier for Tezos Smart Contracts Based on Refinement Types

New Generation Computing

2022/7

BOREx: Bayesian-Optimization--Based Refinement of Saliency Map for Image-and Video-Classification Models

2022

Kohei Suenaga
Kohei Suenaga

H-Index: 7

Efficient black-box checking via model checking with strengthened specifications

2021/10/6

Kohei Suenaga
Kohei Suenaga

H-Index: 7

Formalizing statistical beliefs in hypothesis testing using program logic

2021/9/30

Tetsuya Sato
Tetsuya Sato

H-Index: 7

Kohei Suenaga
Kohei Suenaga

H-Index: 7

Learning Heuristics for Template-based CEGIS of Loop Invariants with Reinforcement Learning

arXiv preprint arXiv:2107.09766

2021/7/16

Enhancing Loop-Invariant Synthesis via Reinforcement Learning

arXiv preprint arXiv:2107.09766

2021/7

Verification of a Merkle Patricia tree library using F

arXiv preprint arXiv:2106.04826

2021/6/9

Kohei Suenaga
Kohei Suenaga

H-Index: 7

Atsushi Igarashi
Atsushi Igarashi

H-Index: 15

A contract corpus for recognizing rights and obligations

2020/5

Kohei Suenaga
Kohei Suenaga

H-Index: 7

ConSORT: Context-and Flow-Sensitive Ownership Refinement Types for Imperative Programs.

2020/4/18

See List of Professors in Kohei SUENAGA University(Kyoto University)

Co-Authors

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