Kazunori D. Yamada

Orcid: 0000-0001-7218-6148

According to our database1, Kazunori D. Yamada authored at least 30 papers between 2014 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Physics-Aware Video Instance Removal Benchmark.
CoRR, April, 2026

AdaptFuse: Training-Free Sequential Preference Learning via Externalized Bayesian Inference.
CoRR, April, 2026

Beyond Completion: Probing Cumulative State Tracking to Predict LLM Agent Performance.
CoRR, March, 2026

Position: Human-Centric AI Requires a Minimum Viable Level of Human Understanding.
CoRR, February, 2026

2025
NexusFlow: Unifying Disparate Tasks under Partial Supervision via Invertible Flow Networks.
CoRR, December, 2025

TimePre: Bridging Accuracy, Efficiency, and Stability in Probabilistic Time-Series Forecasting.
CoRR, November, 2025

KANMixer: Can KAN Serve as a New Modeling Core for Long-term Time Series Forecasting?
CoRR, August, 2025

A Strong View-Free Baseline Approach for Single-View Image Guided Point Cloud Completion.
CoRR, June, 2025

Constitutive Components for Human-Like Autonomous Artificial Intelligence.
CoRR, June, 2025

A Language Anchor-Guided Method for Robust Noisy Domain Generalization.
CoRR, March, 2025

GPS: A Probabilistic Distributional Similarity with Gumbel Priors for Set-to-Set Matching.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
Hyperbolic Chamfer Distance for Point Cloud Completion and Beyond.
CoRR, 2024

Learning Random Numbers to Realize Appendable Memory System for Artificial Intelligence to Acquire New Knowledge after Deployment.
CoRR, 2024

Procedural Content Generation via Generative Artificial Intelligence.
CoRR, 2024

Loss Distillation via Gradient Matching for Point Cloud Completion with Weighted Chamfer Distance.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

2023
Hyperbolic Contrastive Learning.
CoRR, 2023

InfoCD: A Contrastive Chamfer Distance Loss for Point Cloud Completion.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Hyperbolic Chamfer Distance for Point Cloud Completion.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
An Effective Convolutional Neural Network for Visualized Understanding Transboundary Air Pollution Based on Himawari-8 Satellite Images.
IEEE Geosci. Remote. Sens. Lett., 2022

Cosmos Propagation Network: Deep learning model for point cloud completion.
Neurocomputing, 2022

Relation is an option for processing context information.
Frontiers Artif. Intell., 2022

2019
MAFFT online service: multiple sequence alignment, interactive sequence choice and visualization.
Briefings Bioinform., 2019

2018
De novo profile generation based on sequence context specificity with the long short-term memory network.
BMC Bioinform., 2018

Parallelization of MAFFT for large-scale multiple sequence alignments.
Bioinform., 2018

Derivative-free neural network for optimizing the scoring functions associated with dynamic programming of pairwise-profile alignment.
Algorithms Mol. Biol., 2018

2017
Optimizing scoring function of dynamic programming of pairwise profile alignment using derivative free neural network.
CoRR, 2017

Identification of the sequence determinants of protein <i>N</i>-terminal acetylation through a decision tree approach.
BMC Bioinform., 2017

2016
Application of the MAFFT sequence alignment program to large data - reexamination of the usefulness of chained guide trees.
Bioinform., 2016

2015
PoSSuM v.2.0: data update and a new function for investigating ligand analogs and target proteins of small-molecule drugs.
Nucleic Acids Res., 2015

2014
Revisiting amino acid substitution matrices for identifying distantly related proteins.
Bioinform., 2014


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