Akiba, Takuya

18 publications

ICLR 2026 DiffusionBlocks: Block-Wise Neural Network Training via Diffusion Interpretation Makoto Shing, Masanori Koyama, Takuya Akiba

ICLR 2026 Extending the Context of Pretrained LLMs by Dropping Their Positional Embedding Yoav Gelberg, Koshi Eguchi, Takuya Akiba, Edoardo Cetin

ICLR 2026 String Seed of Thought: Prompting LLMs for Distribution-Faithful and Diverse Generation Kou Misaki, Takuya Akiba

NeurIPS 2025 ALE-Bench: A Benchmark for Long-Horizon Objective-Driven Algorithm Engineering Yuki Imajuku, Kohki Horie, Yoichi Iwata, Kensho Aoki, Naohiro Takahashi, Takuya Akiba

ICLR 2025 Agent Skill Acquisition for Large Language Models via CycleQD So Kuroki, Taishi Nakamura, Takuya Akiba, Yujin Tang

ICLR 2025 Drop-Upcycling: Training Sparse Mixture of Experts with Partial Re-Initialization Taishi Nakamura, Takuya Akiba, Kazuki Fujii, Yusuke Oda, Rio Yokota, Jun Suzuki

ICLR 2025 TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models Makoto Shing, Kou Misaki, Han Bao, Sho Yokoi, Takuya Akiba

NeurIPS 2025 Wider or Deeper? Scaling LLM Inference-Time Compute with Adaptive Branching Tree Search Yuichi Inoue, Kou Misaki, Yuki Imajuku, So Kuroki, Taishi Nakamura, Takuya Akiba

ICLRW 2025 Wider or Deeper? Scaling LLM Inference-Time Compute with Adaptive Branching Tree Search Kou Misaki, Yuichi Inoue, Yuki Imajuku, So Kuroki, Taishi Nakamura, Takuya Akiba

NeurIPSW 2024 Agent Skill Acquisition for LLMs via CycleQD So Kuroki, Taishi Nakamura, Takuya Akiba, Yujin Tang

NeurIPSW 2024 Agent Skill Acquisition for Large Language Models via CycleQD So Kuroki, Taishi Nakamura, Takuya Akiba, Yujin Tang

NeurIPSW 2024 TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models Makoto Shing, Kou Misaki, Han Bao, Sho Yokoi, Takuya Akiba

NeurIPS 2019 A Graph Theoretic Framework of Recomputation Algorithms for Memory-Efficient Backpropagation Mitsuru Kusumoto, Takuya Inoue, Gentaro Watanabe, Takuya Akiba, Masanori Koyama

CVPR 2019 Sampling Techniques for Large-Scale Object Detection from Sparsely Annotated Objects Yusuke Niitani, Takuya Akiba, Tommi Kerola, Toru Ogawa, Shotaro Sano, Shuji Suzuki

AAAI 2017 Random-Radius Ball Method for Estimating Closeness Centrality Wataru Inariba, Takuya Akiba, Yuichi Yoshida

IJCAI 2016 Efficient Algorithms for Spanning Tree Centrality Takanori Hayashi, Takuya Akiba, Yuichi Yoshida

AAAI 2015 Efficient Top-K Shortest-Path Distance Queries on Large Networks by Pruned Landmark Labeling Takuya Akiba, Takanori Hayashi, Nozomi Nori, Yoichi Iwata, Yuichi Yoshida

AAAI 2014 Fast and Accurate Influence Maximization on Large Networks with Pruned Monte-Carlo Simulations Naoto Ohsaka, Takuya Akiba, Yuichi Yoshida, Ken-ichi Kawarabayashi