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2022–2026 LIVE

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Machine Learning

2026 · 5,351 papers

このEditionに反映済みのmain full research papersのみ掲載しています。著者リンクは日本の大学への著者別所属根拠がある場合に限ります。

2026 · ICLR
TandemFoilSet: Datasets for Flow Field Prediction of Tandem-Airfoil Through the Reuse of Single Airfoils
Wei Xian Lim, Loh Sher En Jessica, Zenong Li, Thant Oo, Wai Lee Chan, Adams Kong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
TangleScore: Tangle-Guided Purge and Imprint for Unstructured Knowledge Editing
Hao-Xiang Xu, Ziqi Peng, Jun-Yu Ma, Yuhao Sun, Zhen-Hua Ling, Jia-Chen Gu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
TangoFlux: Super Fast and Faithful Text to Audio Generation with Flow Matching and Clap-Ranked Preference Optimization
Chia-Yu Hung, Navonil Majumder, Zhifeng Kong, Ambuj Mehrish, Amir Zadeh, Chuan Li, Rafael Valle, Bryan Catanzaro, Soujanya Poria
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Target-Aware Video Diffusion Models
Taeksoo Kim, Hanbyul Joo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Task Tokens: A Flexible Approach to Adapting Behavior Foundation Models
Ron Vainshtein, Zohar Rimon, Shie Mannor, Chen Tessler
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Task Vectors, Learned Not Extracted: Performance Gains and Mechanistic Insights
Haolin Yang, Hakaze Cho, Kaize Ding, Naoya Inoue
Machine Learning
日本大学: 北陸先端科学技術大学院大学
2026 · ICLR
Task-Adaptive Parameter-Efficient Fine-Tuning for Weather Foundation Models
Shilei Cao, Hehai Lin, Jiashun Cheng, Yang Liu, Guowen Li, Xuehe Wang, Juepeng Zheng, Haoyuan Liang, Meng Jin, Chengwei Qin, Hong Cheng, Haohuan Fu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Task-Aware Data Selection via Proxy-Label Enhanced Distribution Matching for LLM Finetuning
Hao Cheng, Rui Zhang, Ling Li, Na Di, Jiaheng Wei, Zhaowei Zhu, Bo Han
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Task-Related Token Compression in Multimodal Large Language Models from an Explainability Perspective
Lei Lei, Jie Gu, Xiaokang Ma, Chu Tang, Jingmin Chen, Tong Xu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Task-free Adaptive Meta Black-box Optimization
Chao Wang, Licheng Jiao, Lingling Li, Jiaxuan Zhao, Guanchun Wang, Fang Liu, Shuyuan Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
TaskCraft: Automated Generation of Agentic Tasks
Dingfeng Shi, Jingyi Cao, Qianben Chen, Weichen Sun, Weizhen Li, Hongxuan Lu, Fangchen Dong, Tianrui Qin, Zhu, Minghao Liu, Yuchen Jiang, Jian Yang, Ge Zhang, JIAHENG LIU, Changwang Zhang, Jun Wang, Wangchunshu Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Teach to Reason Safely: Policy-Guided Safety Tuning for MLRMs
Jingyu Zhang, Kun Yang, Ming Wen, Zhuoer Xu, Zeyang Sha, shiwen cui, Zhaohui Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Teach2Eval: An Interaction-Driven LLMs Evaluation Method via Teaching Effectiveness
Yuhang Zhou, Xutian Chen, Yixin Cao, Yuchen Ni, Yu He, Siyu Tian, Xiang Liu, Yunwen Chen, Guangnan Ye, Xipeng Qiu, Hongfeng Chai
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Teaching Metric Distance to Discrete Autoregressive Language Models
Jiwan Chung, SAEJIN KIM, Yongrae Jo, Jaewoo Park, Dongjun Min, Youngjae Yu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Teaching VLMs to Admit Uncertainty in OCR from Lossy Visual Inputs
Shuhao Guan, Moule Lin, Cheng Xu, Jinman Zhao, Derek Greene
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Tell me Habibi, is it Real or Fake?
Kartik Kuckreja, Parul Gupta, Injy Hamed, Thamar Solorio, Muhammad Haris Khan, Abhinav Dhall
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Temperature as a Meta-Policy: Adaptive Temperature in LLM Reinforcement Learning
Haoran Dang, Cuiling Lan, Hai Wan, Xibin Zhao, Yan Lu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Temporal Concept Dynamics in Diffusion Models via Prompt-Conditioned Interventions
Ada Görgün, Fawaz Sammani, Nikos Deligiannis, Bernt Schiele, Jonas Fischer
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Temporal Generalization: A Reality Check
Divyam Madaan, Sumit Chopra, Kyunghyun Cho
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Temporal Geometry of Deep Networks: Hyperbolic Representations of Training Dynamics for Intrinsic Explainability
Ambarish Moharil
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Temporal Graph Thumbnail: Robust Representation Learning with Global Evolutionary Skeleton
Weining Shi, Zhisen Wen, Qinggang Zhang, Chentao Zhang, Zhihong Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Temporal Representations for Exploration: Learning Complex Exploratory Behavior without Extrinsic Rewards
Faisal Mohamed, Catherine Ji, Benjamin Eysenbach, Glen Berseth
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Temporal Slowness in Central Vision Drives Semantic Object Learning
Timothy Schaumlöffel, Arthur Aubret, Gemma Roig, Jochen Triesch
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Temporal Sparse Autoencoders: Leveraging the Sequential Nature of Language for Interpretability
Usha Bhalla, Alex Oesterling, Claudio Mayrink Verdun, Hima Lakkaraju, Flavio Calmon
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Temporal superposition and feature geometry of RNNs under memory demands
Pratyaksh Sharma, Alexandra M Proca, Lucas Prieto, Pedro Mediano
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Temporally Detailed Hypergraph Neural ODE for Disease Progression Modeling
Tingsong Xiao, Yao Lee, Zelin Xu, Yupu Zhang, Zibo Liu, Yu Huang, Jiang Bian, Jingchuan Guo, Zhe Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Tensor learning with orthogonal, Lorentz, and symplectic symmetries
Wilson Gregory, Josué Tonelli-Cueto, Nicholas Marshall, Andrew S Lee, Soledad Villar
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Tequila: Trapping-free Ternary Quantization for Large Language Models
Hong Huang, 吴德成, Rui Cen, Guanghua Yu, Zonghang Li, Kai Liu, Jianchen Zhu, Peng Chen, Xue Liu, Dapeng Wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Terminal Velocity Matching
Linqi Zhou, Mathias Parger, Ayaan Haque, Jiaming Song
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Mike Merrill, Alexander Shaw, Nicholas Carlini, Boxuan Li, Harsh Raj, Ivan Bercovich, Lin Shi, Jeong Shin, Thomas Walshe, E. Kelly Buchanan, Junhong Shen, Guanghao Ye, Haowei Lin, Jason Poulos, Maoyu Wang, Marianna Nezhurina, Di Lu, Orfeas Menis Mastromichalakis, Zhiwei Xu, Zizhao Chen, Yue Liu, Robert Zhang, Leon Liangyu Chen, Anurag Kashyap, Jan-Lucas Uslu, Jeffrey Li, Jianbo Wu, Minghao Yan, Song Bian, Vedang Sharma, Ke Sun, Steven Dillmann, Akshay Anand, Andrew Lanpouthakoun, Bardia Koopah, Changran Hu, Etash Guha, Gabriel Dreiman, Jiacheng Zhu, Karl Krauth, Li Zhong, Niklas Muennighoff, Robert Amanfu, Shangyin Tan, Shreyas Pimpalgaonkar, Tushar Aggarwal, Xiangning Lin, Xin Lan, Xuandong Zhao, Yiqing Liang, Yuanli Wang, Zilong (Ryan) Wang, Changzhi Zhou, David Heineman, Hange Liu, Harsh Trivedi, John Yang, Junhong Lin, Manish Shetty, Michael Yang, Nabil Omi, Negin Raoof, Shanda Li, Terry Yue Zhuo, Wuwei Lin, Yiwei Dai, Yuxin Wang, Wenhao Chai, Shang Zhou, Dariush Wahdany, Ziyu She, Jiaming Hu, Zhikang Dong, Yuxuan Zhu, Sasha Cui, Ahson Saiyed, Arinbjörn Kolbeinsson, Christopher Rytting, Ryan Marten, Yixin Wang, Jenia Jitsev, Alex Dimakis, Andy Konwinski, Ludwig Schmidt
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
TerraFM: A Scalable Foundation Model for Unified Multisensor Earth Observation
Muhammad Sohail Danish, Muhammad Akhtar Munir, Syed Shah, Muhammad Haris Khan, Rao Anwer, Jorma Laaksonen, Fahad Khan, Salman Khan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Test-Time Accuracy-Cost Control in Neural Simulators via Recurrent-Depth
Harris Abdul Majid, Pietro Sittoni, Francesco Tudisco
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Test-Time Adaptation for LLM Agents via Environment Interaction
Arthur Chen, Zuxin Liu, Jianguo Zhang, Akshara Prabhakar, Zhiwei Liu, Shelby Heinecke, Silvio Savarese, Victor Zhong, Caiming Xiong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Test-Time Adaptation without Source Data for Out-of-Domain Bioactivity Prediction
Yiming Yang, Zhiyuan Zhou, Yueming Yin, Hoi-Yeung Li, Adams Kong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Test-Time Alignment for Large Language Models via Textual Model Predictive Control
Kuang-Da Wang, Teng-Ruei Chen, Yu Heng Hung, Guo-Xun Ko, Shuoyang Ding, Yueh-Hua Wu, Yu-Chiang Frank Wang, Chao-Han Huck Yang, Wen-Chih Peng, Ping-Chun Hsieh
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Test-Time Efficient Pretrained Model Portfolios for Time Series Forecasting
Mert Kayaalp, Caner Turkmen, Oleksandr Shchur, Pedro Mercado, Abdul Fatir Ansari, Michael Bohlke-Schneider, Bernie Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Test-Time Iterative Error Correction for Efficient Diffusion Models
Yunshan Zhong, Weiqi Yan, Yuxin Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Test-Time Matching: Unlocking Compositional Reasoning in Multimodal Models
Yinglun Zhu, Jiancheng Zhang, Fuzhi Tang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Test-Time Mixture of World Models for Embodied Agents in Dynamic Environments
Jinwoo Jang, Minjong Yoo, Sihyung Yoon, Honguk Woo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Test-Time Optimization of 3D Point Cloud LLM via Manifold-Aware In-Context Guidance and Refinement
Tiankai Chen, Nanqing Liu, Li Yang, xulei yang, Tianrui Li, Xun Xu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Test-Time Poisoned Sample Detection by Exploiting Shallow Malicious Matching in Backdoored CLIP
Zhengyao Song, Meixi Zheng, Ke Xu, Yongqiang Li, Baoyuan Wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Test-Time Scaling with Reflective Generative Model
Zixiao Wang, Yuxin Wang, Xiaorui Wang, Mengting Xing, Jie Gao, Jianjun Xu, Guangcan Liu, Chenhui Jin, Zhuo Wang, Shengzhuo zhang, Hongtao Xie
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Test-Time Training Done Right
Tianyuan Zhang, Sai Bi, Yicong Hong, Kai Zhang, Fujun Luan, Songlin Yang, Kalyan Sunkavalli, William Freeman, Hao Tan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Test-time Domain Generalization for Image Super-resolution
Zaizuo Tang, Yu-Bin Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Test-time Verification via Optimal Transport: Coverage, ROC, & Sub-optimality
Arpan Mukherjee, Marcello Bullo, Debabrota Basu, Deniz Gunduz
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Testing Fourier Sparsity via Implicit Sensing
Arijit Ghosh, Subhamoy Maitra, Manmatha Roy
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Testing Most Influential Sets
Lucas Darius Konrad, Nikolas Kuschnig
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
TetraGT: Tetrahedral Geometry-Driven Explicit Token Interactions with Graph Transformer for Molecular Representation Learning
Jinjia Feng, Zhewei Wei, Taifeng Wang, Zongyang Qiu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Text summarization via global structure awareness
Jiaquan Zhang, Chaoning Zhang, Shuxu Chen, Yibei Liu, Chenghao Li, Qigan Sun, Shuai Yuan, Fachrina Puspitasari, Dongshen Han, Guoqing Wang, Sung-Ho Bae, Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Text-Aware Image Restoration with Diffusion Models
Jaewon Min, Jin Kim, Paul Cho, Jaeeun Lee, Jihye Park, Park Kyu, Sangpil Kim, Hyunhee Park, Seungryong Kim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Text-to-3D by Stitching a Multi-view Reconstruction Network to a Video Generator
Hyojun Go, Dominik Narnhofer, Goutam Bhat, Prune Truong, Federico Tombari, Konrad Schindler
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Text2Arch: A Dataset for Generating Scientific Architecture Diagrams from Natural Language Descriptions
Shivank Garg, Sankalp Mittal, Manish Gupta
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Text2Grad: Reinforcement Learning from Natural Language Feedback
Hanyang Wang, Lu Wang, Chaoyun Zhang, Tianjun Mao, Si Qin, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Text2Interact: High-Fidelity and Diverse Text-to-Two-Person Interaction Generation
Qingxuan Wu, Zhiyang Dou, chuan guo, Yiming Huang, Qiao Feng, Bing Zhou, Jian Wang, Lingjie Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Textual Bayes: Quantifying Prompt Uncertainty in LLM-Based Systems
Brendan Ross, Noël Vouitsis, Atiyeh Ashari Ghomi, Rasa Hosseinzadeh, Ji Xin, Zhaoyan Liu, Yi Sui, Shiyi Hou, Kin Kwan Leung, Gabriel Loaiza-Ganem, Jesse Cresswell
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Textual Equilibrium Propagation for Deep Compound AI Systems
Minghui Chen, Wenlong Deng, James Y Zou, Han Yu, Xiaoxiao Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Texture Vector-Quantization and Reconstruction Aware Prediction for Generative Super-Resolution
Qifan Li, Jiale Zou, Jinhua Zhang, Wei Long, Xingyu Zhou, Shuhang Gu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
The Achilles’ Heel of LLMs: How Altering a Handful of Neurons Can Cripple Language Abilities
Zixuan Qin, Qingchen Yu, Kunlin Lyu, Zhaoxin Fan, Yifan Sun
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
The Alignment Auditor: A Bayesian Framework for Verifying and Refining LLM Objectives
Matthieu Bou, Nyal Patel, Arjun Jagota, Satyapriya Krishna, Sonali Parbhoo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
The Alignment Waltz: Jointly Training Agents to Collaborate for Safety
Jingyu (Jack) Zhang, Haozhu Wang, Eric Michael Smith, Sid Wang, Amr Sharaf, Mahesh Pasupuleti, Ben Van Durme, Daniel Khashabi, Jason E Weston, Hongyuan Zhan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
The Art of Scaling Reinforcement Learning Compute for LLMs
Devvrit Khatri, Lovish Madaan, Rishabh Tiwari, Rachit Bansal, Venkata Sai Surya Subramanyam Duvvuri, Manzil Zaheer, Inderjit Dhillon, David Brandfonbrener, Rishabh Agarwal
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
The Choice of Divergence: A Neglected Key to Mitigating Diversity Collapse in Reinforcement Learning with Verifiable Reward
Long Li, Zhijian Zhou, JIARAN HAO, Jason Liu, Yanting Miao, Wei Pang, Xiaoyu Tan, Wei Chu, Zhe Wang, Shirui Pan, Chao Qu, Yuan Qi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
The CoT Encyclopedia: Analyzing, Predicting, and Controlling how a Reasoning Model will Think
Seongyun Lee, Seungone Kim, Minju Seo, Yongrae Jo, Dongyoung Go, Hyeonbin Hwang, Jinho Park, Xiang Yue, Sean Welleck, Graham Neubig, Moontae Lee, Minjoon Seo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
The Counting Power of Transformers
Marco Sälzer, Chris Köcher, Alexander Kozachinskiy, Georg Zetzsche, Anthony W. Lin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
The Coverage Principle: How Pre-Training Enables Post-Training
Fan Chen, Audrey Huang, Noah Golowich, Sadhika Malladi, Adam Block, Jordan Ash, Akshay Krishnamurthy, Dylan Foster
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
The Curious Case of In-Training Compression of State Space Models
Makram Chahine, Philipp Nazari, Daniela Rus, T. Konstantin Rusch
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
The Deleuzian Representation Hypothesis
Clément Cornet, Romaric Besançon, Hervé Le Borgne
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
The Devil behind the mask: An emergent safety vulnerability of Diffusion LLMs
Zichen Wen, Jiashu Qu, Zhaorun Chen, Xiaoya Lu, Dongrui Liu, Zhiyuan Liu, Ruixi Wu, Yicun Yang, Xiangqi Jin, Haoyun Xu, Xuyang Liu, Weijia Li, Chaochao Lu, Jing Shao, Conghui He, Linfeng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
The Diffusion Duality, Chapter II: $\Psi$-Samplers and Efficient Curriculum
Justin Deschenaux, Caglar Gulcehre, Subham Sekhar Sahoo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
The Effect of Attention Head Count on Transformer Approximation
Penghao Yu, Haotian Jiang, Zeyu Bao, Ruoxi Yu, Qianxiao Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
The Expressive Limits of Diagonal SSMs for State-Tracking
Mehran Shakerinava, Behnoush Khavari, Siamak Ravanbakhsh, Sarath Chandar
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
The False Promise of Zero-Shot Super-Resolution in Machine-Learned Operators
Mansi Sakarvadia, Kareem Hegazy, Amin Totounferoush, Kyle Chard, Yaoqing Yang, Ian Foster, Michael W Mahoney
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
The First Impression Problem: Internal Bias Triggers Overthinking in Reasoning Models
Renfei Dang, Zhening Li, Shujian Huang, Jiajun Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
The Forecast After the Forecast: A Post-Processing Shift in Time Series
Daojun Liang, Qi Li, Yinglong Wang, Jing Chen, Hu Zhang, Xiaoxiao Cui, Qizheng Wang, Shuo Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
The Gaussian-Head OFL Family: One-Shot Federated Learning from Client Global Statistics
Fabio Turazza, Marco Picone, Marco Mamei
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
The Geometry of LLM Quantization: GPTQ as Babai's Nearest Plane Algorithm
Jiale Chen, Yalda Shabanzadeh, Elvir Crnčević, Torsten Hoefler, Dan Alistarh
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
The Geometry of Reasoning: Flowing Logics in Representation Space
Yufa Zhou, Yixiao Wang, Xunjian Yin, Shuyan Zhou, Anru Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
The Hot Mess of AI: How Does Misalignment Scale With Model Intelligence and Task Complexity?
Alexander Hägele, Aryo Pradipta Gema, Henry Sleight, Ethan Perez, Jascha Sohl-Dickstein
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
The Human Brain as a Dynamic Mixture of Expert Models in Video Understanding
Christina Sartzetaki, Anne Zonneveld, Pablo Oyarzo, Alessandro Gifford, Radoslaw Cichy, Pascal Mettes, Iris Groen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
The Ideation-Execution Gap: Execution Outcomes of LLM-Generated versus Human Research Ideas
Chenglei Si, Tatsunori Hashimoto, Diyi Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
The Illusion of Diminishing Returns: Measuring Long Horizon Execution in LLMs
Akshit Sinha, Arvindh Arun, Shashwat Goel, Steffen Staab, Jonas Geiping
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
The Imitation Game: Turing Machine Imitator is Length Generalizable Reasoner
Zhouqi Hua, Wenwei Zhang, Chengqi Lyu, Yuzhe Gu, Songyang Gao, Kuikun Liu, Dahua Lin, Kai Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
The Intricate Dance of Prompt Complexity, Quality, Diversity and Consistency in T2I Models
Zhang Xiaofeng, Aaron Courville, Michal Drozdzal, Adriana Romero-Soriano
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
The Lattice Geometry of Neural Network Quantization: A Short Equivalence Proof of GPTQ and Babai's Algorithm
Johann Birnick
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
The Lattice Representation Hypothesis of Large Language Models
Bo Xiong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
The Less You Depend, The More You Learn: Synthesizing Novel Views from Sparse, Unposed Images without Any 3D Knowledge
Haoru Wang, Kai Ye, Minghan Qin, Yangyan Li, Wenzheng Chen, Baoquan Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
The Lie of the Average: How Class Incremental Learning Evaluation Deceives You?
Guannan Lai, Da-Wei Zhou, Xin Yang, Han-Jia Ye
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
The Limits of Inference Scaling Through Resampling
Benedikt Stroebl, Sayash Kapoor, Arvind Narayanan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
The Logical Expressiveness of Topological Neural Networks
Amirreza Akbari, Amauri Souza, Vikas Garg
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
The Markovian Thinker: Architecture-Agnostic Linear Scaling of Reasoning
Milad Aghajohari, Kamran Chitsaz, Amirhossein Kazemnejad, Sarath Chandar, Alessandro Sordoni, Aaron Courville, Siva Reddy
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
The Matthew Effect of AI Programming Assistants: A Hidden Bias in Software Evolution
Fei Gu, Zi Liang, Jiahao MA, Hongzong LI
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
The Mind's Transformer: Computational Neuroanatomy of LLM-Brain Alignment
Cheng-Yeh Chen, Raghupathy Sivakumar
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
The Natural Geometry of Code: Hyperbolic Representation Learning for Program Reasoning
Weilin Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
The Open Proof Corpus: A Large-Scale Study of LLM-Generated Mathematical Proofs
Jasper Dekoninck, Ivo Petrov, Kristian Minchev, Miroslav Marinov, Maria Drencheva, Lyuba Konova, Milen Shumanov, Kaloyan Tsvetkov, Nikolay Drenchev, Lazar Todorov, Kalina Nikolova, Nikolay Georgiev, Vanesa Kalinkova, Margulan Ismoldayev, Mislav Balunovic, Martin Vechev
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
The Pensieve Paradigm: Stateful Language Models Mastering Their Own Context
Xiaoyuan Liu, Tian Liang, Dongyang Ma, Deyu Zhou, Haitao Mi, Pinjia He, Yan Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
The Polar Express: Optimal Matrix Sign Methods and their Application to the Muon Algorithm
Noah Amsel, David Persson, Christopher Musco, Robert M. Gower
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
The Potential of CoT for Reasoning: A Closer Look at Trace Dynamics
Gregor Bachmann, Yichen Jiang, Seyed-Mohsen Moosavi-Dezfooli, Moin Nabi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
The Potential of Second-Order Optimization for LLMs: A Study with Full Gauss-Newton
Natalie Abreu, Nikhil Vyas, Sham Kakade, Depen Morwani
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
The Power of Small Initialization in Noisy Low-Tubal-Rank Tensor Recovery
Zhiyu Liu, Haobo Geng, XUDONG WANG, Yandong Tang, Zhi Han, Yao Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
The Price of Amortized inference in Sparse Autoencoders
Wenjie Sun, Di Wang, Lijie Hu
Machine Learning
日本大学: 関与なし（対象大学）