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20232026
most citedQUBO Decision Tree: Annealing Machine Extends Decision Tree Splitting

5 citations · 11 across the 10 of their papers we have counts for

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7 papers · 1 filter

cs.AI2026

Pareto-Optimal RTL Code Generation via Multi-Objective Reinforcement Learning with Large Language Models

Koki Takeshita, Kenji Uebayashi, Hikaru Tomonari +6

Recent studies have proposed reinforcement learning with verifiable rewards (RLVR) methods that enable LLMs to generate high-quality RTL circuits from natural-language specificatio…

cs.RO2026

Learning Unknown Constraints without Unsafe Data via Optimality and Counterfactual Regularization

Zhouyu Zhang, Chih-Yuan Chiu, Glen Chou

Learning from demonstrations (LfD) provides a framework for inferring unknown constraints from locally optimal, constraint-satisfying expert behavior. Existing approaches largely f…

cs.AI2026

Bridging the Sim-to-Real Gap in Semiconductor Visual Program Synthesis via Input Binarization

Yusuke Ohtsubo, Kota Dohi, Koichiro Yawata +2

Precise parametric control over circuit geometry is essential for semiconductor inspection, yet obtaining sufficient real training data remains costly. Although generative models s…

physics.flu-dyn2026

Data-driven oscillator model for turbulent flows with multiple dominant frequencies

Youngjae Kim, Koichiro Yawata, Hiroya Nakao +1

The complex dynamics of high-dimensional oscillatory flows can be simplified using phase-reduction analysis, providing a deeper understanding of the flow response to external pertu…

cs.AI2026

Hypergraph Neural Networks Accelerate MUS Enumeration

Hiroya Ijima, Koichiro Yawata

Enumerating Minimal Unsatisfiable Subsets (MUSes) is a fundamental task in constraint satisfaction problems (CSPs). Its major challenge is the exponential growth of the search spac…

cs.CL2026

LaSTR: Language-Driven Time-Series Segment Retrieval

Kota Dohi, Harsh Purohit, Tomoya Nishida +6

Effectively searching time-series data is essential for system analysis, but existing methods often require expert-designed similarity criteria or rely on global, series-level desc…

nlin.AO2026

Global Phase Synchronization Decoupled from Amplitude Dynamics

Koichiro Yawata, Hiroya Nakao

The Kuramoto model is a canonical framework for analyzing phase synchronization, yet its utility is restricted to the vicinity of the oscillator's unperturbed limit cycle. Here, we…