Hidenori Tanaka

63 papers A* 21B 1C 1Journal 37Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
When Is Collective Intelligence a Lottery? Multi-Agent Scaling Laws for Memetic Drift in LLMs.
CoRR
Hidenori Tanaka
2025 A* conf
A Percolation Model of Emergence: Analyzing Transformers Trained on a Formal Language.
ICLR
Ekdeep Singh Lubana, Kyogo Kawaguchi, Robert P. Dick, Hidenori Tanaka
2025 J jnl
A ghost mechanism: An analytical model of abrupt learning.
CoRR
Fatih Dinc, Ege Çirakman, Yiqi Jiang, Mert Yüksekgönül, Mark J. Schnitzer, Hidenori Tanaka
2025 J jnl
A multivariate model incorporating subharmonic measurements for evaluating vocal roughness.
npj Digit. Medicine
Itsuki Kitayama, Kiyohito Hosokawa, Shinobu Iwaki, Misao Yoshida, Akira Miyauchi, Kenji Aruga, Takanari Kawabe, Toshihiro Kishikawa, Hidenori Tanaka, Takeshi Tsuda, Takashi Sato, Yukinori Takenaka, Makoto Ogawa, Hidenori Inohara
2025 J jnl
Belief Dynamics Reveal the Dual Nature of In-Context Learning and Activation Steering.
CoRR
Eric J. Bigelow, Daniel Wurgaft, YingQiao Wang, Noah D. Goodman, Tomer D. Ullman, Hidenori Tanaka, Ekdeep Singh Lubana
2025 J jnl
CT-OT Flow: Estimating Continuous-Time Dynamics from Discrete Temporal Snapshots.
CoRR
Keisuke Kawano, Takuro Kutsuna, Naoki Hayashi, Yasushi Esaki, Hidenori Tanaka
2025 A* conf
Competition Dynamics Shape Algorithmic Phases of In-Context Learning.
ICLR
Core Francisco Park, Ekdeep Singh Lubana, Hidenori Tanaka
2025 J jnl
Decomposing Elements of Problem Solving: What "Math" Does RL Teach?
CoRR
Tian Qin, Core Francisco Park, Mujin Kwun, Aaron Walsman, Eran Malach, Nikhil Anand, Hidenori Tanaka, David Alvarez-Melis
2025 A* conf
Dynamical phases of short-term memory mechanisms in RNNs.
ICML
Bariscan Kurtkaya, Fatih Dinc, Mert Yüksekgönül, Marta Blanco-Pozo, Ege Çirakman, Mark J. Schnitzer, Yucel Yemez, Hidenori Tanaka, Peng Yuan, Nina Miolane
2025 J jnl
Emergence of Hierarchical Emotion Organization in Large Language Models.
CoRR
Bo Zhao, Maya Okawa, Eric J. Bigelow, Rose Yu, Tomer D. Ullman, Ekdeep Singh Lubana, Hidenori Tanaka
2025 A* conf
Forking Paths in Neural Text Generation.
ICLR
Eric J. Bigelow, Ari Holtzman, Hidenori Tanaka, Tomer David Ullman
2025 A* conf
ICLR: In-Context Learning of Representations.
ICLR
Core Francisco Park, Andrew Lee, Ekdeep Singh Lubana, Yongyi Yang, Maya Okawa, Kento Nishi, Martin Wattenberg, Hidenori Tanaka
2025 J jnl
ICLR: In-Context Learning of Representations.
CoRR
Core Francisco Park, Andrew Lee, Ekdeep Singh Lubana, Yongyi Yang, Maya Okawa, Kento Nishi, Martin Wattenberg, Hidenori Tanaka
2025 J jnl
In-Context Learning Strategies Emerge Rationally.
CoRR
Daniel Wurgaft, Ekdeep Singh Lubana, Core Francisco Park, Hidenori Tanaka, Gautam Reddy, Noah D. Goodman
2025 J jnl
Provable Low-Frequency Bias of In-Context Learning of Representations.
CoRR
Yongyi Yang, Hidenori Tanaka, Wei Hu
2025 A* conf
Representation Shattering in Transformers: A Synthetic Study with Knowledge Editing.
ICML
Kento Nishi, Rahul Ramesh, Maya Okawa, Mikail Khona, Hidenori Tanaka, Ekdeep Singh Lubana
2025 A* conf
Swing-by Dynamics in Concept Learning and Compositional Generalization.
ICLR
Yongyi Yang, Core Francisco Park, Ekdeep Singh Lubana, Maya Okawa, Wei Hu, Hidenori Tanaka
2024 J jnl
A Percolation Model of Emergence: Analyzing Transformers Trained on a Formal Language.
CoRR
Ekdeep Singh Lubana, Kyogo Kawaguchi, Robert P. Dick, Hidenori Tanaka
2024 J jnl
Competition Dynamics Shape Algorithmic Phases of In-Context Learning.
CoRR
Core Francisco Park, Ekdeep Singh Lubana, Itamar Pres, Hidenori Tanaka
2024 A* conf
Compositional Capabilities of Autoregressive Transformers: A Study on Synthetic, Interpretable Tasks.
ICML
Rahul Ramesh, Ekdeep Singh Lubana, Mikail Khona, Robert P. Dick, Hidenori Tanaka
2024 J jnl
Continuous-Time Analysis of Adaptive Optimization and Normalization.
CoRR
Rhys Gould, Hidenori Tanaka
2024 J jnl
Dynamics of Concept Learning and Compositional Generalization.
CoRR
Yongyi Yang, Core Francisco Park, Ekdeep Singh Lubana, Maya Okawa, Wei Hu, Hidenori Tanaka
2024 A* conf
Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space.
NeurIPS
Core Francisco Park, Maya Okawa, Andrew Lee, Ekdeep Singh Lubana, Hidenori Tanaka
2024 J jnl
Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space.
CoRR
Core Francisco Park, Maya Okawa, Andrew Lee, Ekdeep Singh Lubana, Hidenori Tanaka
2024 J jnl
Forking Paths in Neural Text Generation.
CoRR
Eric J. Bigelow, Ari Holtzman, Hidenori Tanaka, Tomer D. Ullman
2024 A* conf
In-Context Learning Dynamics with Random Binary Sequences.
ICLR
Eric J. Bigelow, Ekdeep Singh Lubana, Robert P. Dick, Hidenori Tanaka, Tomer D. Ullman
2024 A* conf
Mechanistically analyzing the effects of fine-tuning on procedurally defined tasks.
ICLR
Samyak Jain, Robert Kirk, Ekdeep Singh Lubana, Robert P. Dick, Hidenori Tanaka, Tim Rocktäschel, Edward Grefenstette, David Scott Krueger
2024 J jnl
Representation Shattering in Transformers: A Synthetic Study with Knowledge Editing.
CoRR
Kento Nishi, Maya Okawa, Rahul Ramesh, Mikail Khona, Ekdeep Singh Lubana, Hidenori Tanaka
2024 J jnl
The Limiting Dynamics of SGD: Modified Loss, Phase-Space Oscillations, and Anomalous Diffusion.
Neural Comput.
Daniel Kunin, Javier Sagastuy-Breña, Lauren E. Gillespie, Eshed Margalit, Hidenori Tanaka, Surya Ganguli, Daniel L. K. Yamins
2024 A* conf
Towards an Understanding of Stepwise Inference in Transformers: A Synthetic Graph Navigation Model.
ICML
Mikail Khona, Maya Okawa, Jan Hula, Rahul Ramesh, Kento Nishi, Robert P. Dick, Ekdeep Singh Lubana, Hidenori Tanaka
2024 J jnl
Towards an Understanding of Stepwise Inference in Transformers: A Synthetic Graph Navigation Model.
CoRR
Mikail Khona, Maya Okawa, Jan Hula, Rahul Ramesh, Kento Nishi, Robert P. Dick, Ekdeep Singh Lubana, Hidenori Tanaka
2023 A* conf
CORNN: Convex optimization of recurrent neural networks for rapid inference of neural dynamics.
NeurIPS
Fatih Dinc, Adam Shai, Mark J. Schnitzer, Hidenori Tanaka
2023 A* conf
Compositional Abilities Emerge Multiplicatively: Exploring Diffusion Models on a Synthetic Task.
NeurIPS
Maya Okawa, Ekdeep Singh Lubana, Robert P. Dick, Hidenori Tanaka
2023 J jnl
Compositional Abilities Emerge Multiplicatively: Exploring Diffusion Models on a Synthetic Task.
CoRR
Maya Okawa, Ekdeep Singh Lubana, Robert P. Dick, Hidenori Tanaka
2023 J jnl
How Capable Can a Transformer Become? A Study on Synthetic, Interpretable Tasks.
CoRR
Rahul Ramesh, Mikail Khona, Robert P. Dick, Hidenori Tanaka, Ekdeep Singh Lubana
2023 J jnl
In-Context Learning Dynamics with Random Binary Sequences.
CoRR
Eric J. Bigelow, Ekdeep Singh Lubana, Robert P. Dick, Hidenori Tanaka, Tomer D. Ullman
2023 A* conf
Mechanistic Mode Connectivity.
ICML
Ekdeep Singh Lubana, Eric J. Bigelow, Robert P. Dick, David Scott Krueger, Hidenori Tanaka
2023 J jnl
Mechanistically analyzing the effects of fine-tuning on procedurally defined tasks.
CoRR
Samyak Jain, Robert Kirk, Ekdeep Singh Lubana, Robert P. Dick, Hidenori Tanaka, Edward Grefenstette, Tim Rocktäschel, David Scott Krueger
2023 A* conf
What shapes the loss landscape of self supervised learning?
ICLR
Liu Ziyin, Ekdeep Singh Lubana, Masahito Ueda, Hidenori Tanaka
2022 J jnl
A lexical approach for identifying behavioural action sequences.
PLoS Comput. Biol.
Gautam Reddy, Laura Desban, Hidenori Tanaka, Julian Roussel, Olivier Mirat, Claire Wyart
2022 J jnl
Mechanistic Mode Connectivity.
CoRR
Ekdeep Singh Lubana, Eric J. Bigelow, Robert P. Dick, David Scott Krueger, Hidenori Tanaka
2022 J jnl
What shapes the loss landscape of self-supervised learning?
CoRR
Liu Ziyin, Ekdeep Singh Lubana, Masahito Ueda, Hidenori Tanaka
2021 J jnl
Beyond BatchNorm: Towards a General Understanding of Normalization in Deep Learning.
CoRR
Ekdeep Singh Lubana, Robert P. Dick, Hidenori Tanaka
2021 A* conf
Beyond BatchNorm: Towards a Unified Understanding of Normalization in Deep Learning.
NeurIPS
Ekdeep Singh Lubana, Robert P. Dick, Hidenori Tanaka
2021 J jnl
Genetic dissection of complex traits using hierarchical biological knowledge.
PLoS Comput. Biol.
Hidenori Tanaka, Jason F. Kreisberg, Trey Ideker
2021 A* conf
Neural Mechanics: Symmetry and Broken Conservation Laws in Deep Learning Dynamics.
ICLR
Daniel Kunin, Javier Sagastuy-Breña, Surya Ganguli, Daniel L. K. Yamins, Hidenori Tanaka
2021 A* conf
Noether's Learning Dynamics: Role of Symmetry Breaking in Neural Networks.
NeurIPS
Hidenori Tanaka, Daniel Kunin
2021 J jnl
Noether's Learning Dynamics: The Role of Kinetic Symmetry Breaking in Deep Learning.
CoRR
Hidenori Tanaka, Daniel Kunin
2021 J jnl
Rethinking the limiting dynamics of SGD: modified loss, phase space oscillations, and anomalous diffusion.
CoRR
Daniel Kunin, Javier Sagastuy-Breña, Lauren E. Gillespie, Eshed Margalit, Hidenori Tanaka, Surya Ganguli, Daniel L. K. Yamins
2020 J jnl
Neural Mechanics: Symmetry and Broken Conservation Laws in Deep Learning Dynamics.
CoRR
Daniel Kunin, Javier Sagastuy-Breña, Surya Ganguli, Daniel L. K. Yamins, Hidenori Tanaka
2020 A* conf
Pruning neural networks without any data by iteratively conserving synaptic flow.
NeurIPS
Hidenori Tanaka, Daniel Kunin, Daniel L. K. Yamins, Surya Ganguli
2020 J jnl
Pruning neural networks without any data by iteratively conserving synaptic flow.
CoRR
Hidenori Tanaka, Daniel Kunin, Daniel L. K. Yamins, Surya Ganguli
2019 A* conf
From deep learning to mechanistic understanding in neuroscience: the structure of retinal prediction.
NeurIPS
Hidenori Tanaka, Aran Nayebi, Niru Maheswaranathan, Lane McIntosh, Stephen Baccus, Surya Ganguli
2019 J jnl
From deep learning to mechanistic understanding in neuroscience: the structure of retinal prediction.
CoRR
Hidenori Tanaka, Aran Nayebi, Niru Maheswaranathan, Lane McIntosh, Stephen A. Baccus, Surya Ganguli
2010 J jnl
A Study on Wear of Brush and Carbon Flat Commutator of DC Motor for Automotive Fuel Pump.
IEICE Trans. Electron.
Koichiro Sawa, Takahiro Ueno, Hidenori Tanaka
2010 J jnl
Statistical method for classifying cries of baby based on pattern recognition of power spectrum.
Int. J. Biom.
Xinping Wang, Tomomasa Nagashima, Kentarou Fukuta, Yoshifumi Okada, Masahiro Sawai, Hidenori Tanaka, Takashi Uozumi
2009 C conf
Dynamics Analysis of Facial Expressions for Person Identification.
CAIP
Hidenori Tanaka, Hideo Saito
2009 J jnl
Simple Model for Estimating Birefringence of LPFG Using Photoelastic Effect.
IEICE Trans. Electron.
Tetsuro Yabu, Hidenori Tanaka, Masaharu Ohashi
2008 J jnl
An overview of Kansei engineering: a proposal of Kansei informatics toward realising safety and pleasantness of individuals in information network society.
Int. J. Biom.
Tomomasa Nagashima, Hidenori Tanaka, Takashi Uozumi
2008 B conf
Online anomal movement detection based on unsupervised incremental learning.
ICPR
Kyoko Sudo, Tatsuya Osawa, Hidenori Tanaka, Hideki Koike, Kenichi Arakawa
2007 — conf
Human Pose Estimation from Volume Data and Topological Graph Database.
ACCV (1)
Hidenori Tanaka, Atsushi Nakazawa, Haruo Takemura
2005 — conf
Dynamically Visual Learning for People Identification with Sparsely Distributed Cameras.
SCIA
Hidenori Tanaka, Itaru Kitahara, Hideo Saito, Hiroshi Murase, Kiyoshi Kogure, Norihiro Hagita
1992 — conf
Shape and source from shading using zero crossings.
ICPR (1)
Shozo Kondo, Tong Xu, Hidenori Tanaka, Manas Sangwarasil, Kiyoaki Atsuta