大学 × 全分野
神戸大学
全分野 / 2022–2026 LIVE
掲載論文 16 本
論文一覧
16 本
このEditionのランキングに掲載している論文です。同じ大学の複数著者による共著は1本にまとめています。
分野をまたぐ同一論文も1本です。総合ポイントは、分野別順位に基づく別の指標です。
2026年
- Quantifying and Mitigating Socially Desirable Responding in LLMs: A Desirability-Matched Graded Forced-Choice Psychometric Study
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acl-anthology:2026.acl-long.1865 - Emergence of Exploration in Policy Gradient Reinforcement Learning via Retrying
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openreview:npvbaoc87e - Bi-AQUA: Bilateral Control-Based Imitation Learning for Underwater Robot Arms Via Lighting-Aware Action Chunking with Transformers
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iros:2026:4216 - Bi-HIL: Bilateral Control-Based Multimodal Hierarchical Imitation Learning Via Subtask-Level Progress Rate and Keyframe Memory for Long-Horizon Contact-Rich Robotic Manipulation
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iros:2026:4629 - MRPoS: Mixed Reality-Based Robot Navigation Interface Using Spatial Pointing and Speech with Large Language Model
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iros:2026:1898 - UltrasonicWhisper+: Ultrasonic Attacks Generate Phantom Sounds in Your Hearable
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doi:10.1145/3789679
2025年
- Number Theoretic Accelerated Learning of Physics-Informed Neural Networks
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doi:10.1609/aaai.v39i1.32040 - Poisson-Dirac Neural Networks for Modeling Coupled Dynamical Systems across Domains
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iclr:2025:3a5b75ce6cbd3aaaa32d6e935ffc4cff - A SAT-based Method for Counting All Singleton Attractors in Boolean Networks
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doi:10.24963/ijcai.2025/290 - DCM Modulation: A Three-Axis Rotation Stabilization Technique for Bipedal Locomotion Control
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doi:10.1109/iros60139.2025.11246273 - UEPI: Universal Energy-Behavior-Preserving Integrators for Energy Conservative/Dissipative Differential Equations
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neurips:2025:3e467e15cbcbd7b5ecc814cfc27c4ea9 - The First Star-by-star $N$-body/Hydrodynamics Simulation of Our Galaxy Coupling with a Surrogate Model
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doi:10.1145/3712285.3759866
2023年
- On the Unpredictability of SPICE Simulations for Side-Channel Leakage Verification of Masked Cryptographic Circuits
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doi:10.1109/dac56929.2023.10247834 - FINDE: Neural Differential Equations for Finding and Preserving Invariant Quantities
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openreview:tlsckvhccr
2022年
- KAM Theory Meets Statistical Learning Theory: Hamiltonian Neural Networks with Non-zero Training Loss
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doi:10.1609/aaai.v36i6.20582 - External load estimation of hydraulically driven construction machinery from cylinder pressures and link accelerations
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doi:10.1109/iros47612.2022.9981529
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