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Junichiro Niimi

Observed names: Junichiro NIIMI, Niimi, Junichiro
ORCID: 0000-0002-4618-6272
Observed ORCID: 0000-0002-4618-6272
OpenAlex ID: A5029152172
Public perceptions, individual characteristics, and preventive behaviors for COVID-19 in six countries: a cross-sectional study
2021 · Ryosuke Fujii, Kensuke Suzuki, et al. · Environmental Health and Preventive Medicine · 45
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Dynamic Sentiment Analysis with Local Large Language Models using Majority Voting: A Study on Factors Affecting Restaurant Evaluation
2024 · Niimi, Junichiro · arXiv (Cornell University) · 14
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A Simple Ensemble Strategy for LLM Inference: Towards More Stable Text Classification
2025 · Junichiro Niimi · Lecture notes in computer science · 11
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Predicting Purchases with Using the Variety of Customer Behaviors
2017 · Junichiro Niimi, Takahiro Hoshino · Transactions of the Japanese Society for Artificial Intelligence · 8
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Multimodal Deep Learning of Word-of-Mouth Text and Demographics to Predict Customer Rating: Handling Consumer Heterogeneity in Marketing
2024 · Niimi, Junichiro · arXiv (Cornell University) · 7
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Hierarchical Memorization in Large Language Models: Evidence from Citation Generation
2025 · Niimi, Junichiro · arXiv (Cornell University) · 5
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An Efficient Multimodal Learning Framework to Comprehend Consumer Preferences Using BERT and Cross-Attention
2024 · Niimi, Junichiro · arXiv (Cornell University) · 5
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Handling the Inconsistency between Self-Report and the Actual Behavior: Validity of Excluding Survey Participants with Insufficient Effort Responding
2023 · Makito Takeuchi, Junichiro Niimi, et al. · International Journal of Market Research · 5
Distortion Instead of Hallucination: The Effect of Reasoning Under Strict Constraints
2026 · Niimi, Junichiro · arXiv (Cornell University) · 2
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Prediction of the Customer Activity with Using the Improved Measure of Clumpiness
2020 · Junichiro NIIMI, Takahiro HOSHINO · Kodo Keiryogaku (The Japanese Journal of Behaviormetrics) · 2
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Three-in-One World Model: Energy-Based Consistency, Prediction, and Counterfactual Inference for Marketing Intervention
2026 · Niimi, Junichiro · arXiv (Cornell University) · 1
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Predicting the Consumers Behavior with Using the Variety of User Access Patterns
2015 · Junichiro Niimi, Takahiro Hoshino · Ouyou toukeigaku · 1
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The (Butter)fly Dream: Linear Separability of World-Model Rollouts in a Connectome-Constrained Visual Model
2026 · Niimi, Junichiro · arXiv (Cornell University)
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boltzmann-gpt
2026 · Niimi, Junichiro · Zenodo (CERN European Organization for Nuclear Research)
mps-silent-failures: sweep harness, guard and results for silent failures of PyTorch's MPS backend at the 2^32 boundary
2026 · Niimi, Junichiro · Zenodo (CERN European Organization for Nuclear Research)
Cross-Block Conditioning in Deep Boltzmann Machines for Statistical Data Fusion
2026 · Niimi, Junichiro · arXiv (Cornell University)
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Revisiting Energy-based Tabular Anomaly Detection: Energy and Reconstruction are Complementary
2026 · Niimi, Junichiro · arXiv (Cornell University)
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Cross-Model Memorization Thresholds in Citation Generation: Evidence from Field-Level Cloze on Bibliographic Records
2026 · Junichiro Niimi · Research Square
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jniimi/paper-search: Skill released!
2026 · Junichiro Niimi · Zenodo (CERN European Organization for Nuclear Research)
jniimi/memorization: For the submission
2026 · Junichiro Niimi · Zenodo (CERN European Organization for Nuclear Research)
Deep Multi-Task Learning for Energy Consumption Forecasting of Household Water Heater Usage
2026 · Junichiro Niimi, Takahiro Tsukamoto, et al. · International Conference on Artificial Intelligence in Information and Communication (ICAIIC)
The Mouth is Not the Brain: Bridging Energy-Based World Models and Language Generation
2026 · Niimi, Junichiro · arXiv (Cornell University)
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Stable LLM Ensemble: Interaction Between Example Representativeness and Diversity
2026 · Junichiro Niimi · Lecture notes in networks and systems
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Hallucinate or Memorize? The Two Sides of Probabilistic Learning in Large Language Models
2026 · Junichiro Niimi · International Conference on Agents and Artificial Intelligence (ICAART)
Silent Failures Beyond the 32-bit Index Range: A Differential Characterization of Large-Tensor Matrix Multiplication in PyTorch’s MPS Backend
2026 · Junichiro Niimi · IEEE Access
Works count: 33
Citation count: 116
H-index: 6
I10-index: 3
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