ICLR

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
$AutoDrive\text{-}P^3$: Unified Chain of Perception–Prediction–Planning Thought via Reinforcement Fine-Tuning
Yuqi Ye, Zijian Zhang, Junhong Lin, Shangkun Sun, Changhao Peng, Wei Gao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
$PhyWorldBench$: A Comprehensive Evaluation of Physical Realism in Text-to-Video Models
Jing Gu, Xian Liu, Yu Zeng, Ashwin Nagarajan, Fangrui Zhu, Daniel Hong, Yue Fan, Qianqi Yan, Kaiwen Zhou, Ming-Yu Liu, Xin Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
$\alpha$-DPO: Robust Preference Alignment for Diffusion Models via $\alpha$ Divergence
Yang Li, Songlin Yang, Wei Wang, Xiaoxuan Han, Jing Dong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
$\boldsymbol{\partial^\infty}$-Grid: A Neural Differential Equation Solver with Differentiable Feature Grids
Navami Kairanda, Shanthika Naik, Marc Habermann, Avinash Sharma, Christian Theobalt, Vladislav Golyanik
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
$\ell_1$ Latent Distance based Continuous-time Graph Representation
Zhao-Rong Lai, Zheng-Sen Zhou, Liangda Fang, Yongsen Zheng, Ziliang Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
$\mathbf{Li_2}$: A Framework on Dynamics of Feature Emergence and Delayed Generalization
Yuandong Tian
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
$\mu$LO: Compute-Efficient Meta-Generalization of Learned Optimizers
Benjamin Thérien, Charles-Étienne Joseph, Boris Knyazev, Edouard Oyallon, Irina Rish, Eugene Belilovsky
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
$\nabla$-Reasoner: LLM Reasoning via Test-Time Gradient Descent in Latent Space
Peihao Wang, Ruisi Cai, Zhen Wang, Hongyuan Mei, Qiang Liu, Pan Li, Zhangyang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
$\pi^3$: Permutation-Equivariant Visual Geometry Learning
Yifan Wang, Jianjun Zhou, Haoyi Zhu, Wenzheng Chang, Yang Zhou, Zizun Li, Junyi Chen, Jiangmiao Pang, Chunhua Shen, Tong He
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
$\textbf{Re}^{2}$: Unlocking LLM Reasoning via Reinforcement Learning with Re-solving
Pinzheng Wang, Shuli Xu, Juntao Li, Yu Luo, Dong Li, Jianye Hao, Min Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
$\textit{MADFormer}$: Mixed Autoregressive and Diffusion Transformers for Continuous Image Generation
Junhao Chen, Yulia Tsvetkov, Xiaochuang Han
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
$p\textrm{-less}$ Sampling: A Robust Hyperparameter-Free Approach for LLM Decoding
Runyan Tan, Shuang Wu, Phillip Howard
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
(U)NFV: (Un)Supervised Neural Finite Volume Methods for Solving Hyperbolic PDEs
Nathan Lichtlé, Alexi Canesse, Zhe Fu, HOSSEIN MATIN, Maria Delle Monache, Alexandre M Bayen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
3D Aware Region Prompted Vision Language Model
An-Chieh Cheng, Yang Fu, Yukang Chen, Zhijian Liu, Xiaolong Li, Subhashree Radhakrishnan, Song Han, Yao Lu, Jan Kautz, Pavlo Molchanov, Hongxu (Danny) Yin, Xiaolong Wang, Sifei Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
3D Scene Prompting for Scene-Consistent Camera-Controllable Video Generation
JoungBin Lee, Jaewoo Jung, Jisang Han, Takuya Narihira, Kazumi Fukuda, Junyoung Seo, Sunghwan Hong, Yuki Mitsufuji, Seungryong Kim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
3D-aware Disentangled Representation for Compositional Reinforcement Learning
Sungbin Mun, Younghwan Lee, Cheolhui MIn, Mineui Hong, Young Min Kim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
3DCS: Datasets and Benchmark for Evaluating Conformational Sensitivity in Molecular Representations
Xi Wang, Yang Zhang, Yingjia Zhang, Yejia Cai, Shenji Wan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
3DGEER: 3D Gaussian Rendering Made Exact and Efficient for Generic Cameras
Zixun Huang, Cho-Ying Wu, Yuliang Guo, Xinyu Huang, Liu Ren
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
3DSMT: A Hybrid Spiking Mamba-Transformer for Point Cloud Analysis
zhiming Zhou, Yong He, Qiaoyun Wu, Chaoxu Mu, Ajmal Mian
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
: One LLM Token for Explicit Graph Structural Understanding
Jingyao Wu, Bin Lu, Zijun Di, Xiaoying Gan, Meng Jin, Luoyi Fu, Xinbing Wang, Chenghu Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A Balanced Neuro-Symbolic Approach for Commonsense Abductive Logic
Joseph Cotnareanu, Didier Chételat, Yingxue Zhang, Mark Coates
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A Bayesian Nonparametric Framework For Learning Disentangled Representations
Vaishnavi Patil, Siddhi Patil, Matthew Evanusa, Amit Kumar Kundu, Cornelia Fermuller, Joseph JaJa
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A Bayesian Nonparametric Framework for Private, Fair, and Balanced Tabular Data Synthesis
Forough Fazeliasl, Michael Minyi Zhang, Linglong Kong, Bei Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A Benchmark for Deep Information Synthesis
Debjit Paul, Daniel Murphy, Milan Gritta, Ronald Cardenas Acosta, Victor Prokhorov, Lena Sophia Bolliger, Aysim Toker, Roy Miles, Andreea-Maria Oncescu, Jasivan Sivakumar, Philipp Borchert, Ismail Elezi, Meiru Zhang, Ka Lee, Guchun Zhang, Jun Wang, Gerasimos Lampouras
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A Biologically Plausible Dense Associative Memory with Exponential Capacity
Mohadeseh Shafiei Kafraj, Dmitry Krotov, Peter Latham
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A Block Coordinate Descent Method for Nonsmooth Composite Optimization under Orthogonality Constraints
Ganzhao Yuan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A Brain Graph Foundation Model: Pre-Training and Prompt-Tuning across Broad Atlases and Disorders
Xinxu Wei, Kanhao Zhao, Yong Jiao, Lifang He, Yu Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A Brain-Inspired Gating Mechanism Unlocks Robust Computation in Spiking Neural Networks
Qianyi Bai, Wang, Qiang YU
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A Cognitive Process-Inspired Architecture for Subject-Agnostic Brain Visual Decoding
Jingyu Lu, Haonan Wang, Qixiang ZHANG, Xiaomeng Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A Comprehensive Information-Decomposition Analysis of Large Vision-Language Models
Lixin Xiu, Xufang Luo, Hideki Nakayama
Machine Learning
日本大学: 東京大学
2026 · ICLR
A Convergence Analysis of Adaptive Optimizers under Floating-point Quantization
Xuan Tang, Jichu Li, Difan Zou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A Dense Subset Index for Collective Query Coverage
Kartik Nair, Pritish Chakraborty, Atharva Tambat, Indradyumna Roy, Soumen Chakrabarti, Anirban Dasgupta, Abir De
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A Derandomization Framework for Structure Discovery: Applications in Neural Networks and Beyond
Nikos Tsikouras, Yorgos Pantis, Ioannis Mitliagkas, Christos Tzamos
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A Fair Bayesian Inference through Matched Gibbs Posterior
Jihu Lee, Kunwoong Kim, Sehyun Park, Insung Kong, Dongyoon Yang, Yongdai Kim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A Fano-Style Accuracy Upper Bound for LLM Single-Pass Reasoning in Multi-Hop QA
Kaiyang Wan, Lang Gao, Honglin Mu, Preslav Nakov, Yuxia Wang, Xiuying Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A Faster Parameter-Free Regret Matching Algorithm
Linjian Meng, Youzhi Zhang, Shangdong Yang, Wenbin Li, Tianyu Ding, Yang Gao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A Federated Generalized Expectation-Maximization Algorithm for Mixture Models with an Unknown Number of Components
Michael Ibrahim, Nagi Gebraeel, Weijun Xie
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A Framework for Studying AI Agent Behavior: Evidence from Consumer Choice Experiments
Manuel Cherep, Chengtian Ma, Abigail Xu, Maya Shaked, Pattie Maes, Nikhil Singh
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A Function-Centric Graph Neural Network Approach for Predicting Electron Densities
Manuel Viktor Klockow, Marc Ickler, Peter Lippmann, Fred A Hamprecht
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A General Framework for Black-Box Attacks Under Cost Asymmetry
Mahdi Salmani, Alireza Abdollahpoorrostam, Seyed-Mohsen Moosavi-Dezfooli
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A General Spatio-Temporal Backbone with Scalable Contextual Pattern Bank for Urban Continual Forecasting
Aoyu Liu, Yaying Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A Generalized Geometric Theoretical Framework of Centroid Discriminant Analysis for Linear Classification of Multi-dimensional Data
Yue Wu, Jialin Zhao, Carlo Vittorio Cannistraci
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A Genetic Algorithm for Navigating Synthesizable Molecular Spaces
Alston Lo, Connor Coley, Wojciech Matusik
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A Graph Meta-Network for Learning on Kolmogorov–Arnold Networks
Guy Bar-Shalom, Ami Tavory, Itay Evron, Maya Bechler-Speicher, Ido Guy, Haggai Maron
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A Guardrail for Safety Preservation: When Safety-Sensitive Subspace Meets Harmful-Resistant Null-Space
Bingjie Zhang, Yibo Yang, Ren Zhe, Dandan Guo, Jindong Gu, Philip Torr, Bernard Ghanem
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A Hidden Semantic Bottleneck in Conditional Embeddings of Diffusion Transformers
Trung X. Pham, Kang Zhang, Ji Woo Hong, Chang Yoo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A Hierarchical Circuit Symbolic Discovery Framework for Efficient Logic Optimization
Yinqi Bai, Jie Wang, Tong Xialiang, Longdi Pan, Jilai Pan, Mingxuan Yuan, Jianye Hao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A High Quality Dataset and Reliable Evaluation for Interleaved Image-Text Generation
Yukang Feng, Jianwen Sun, Chuanhao Li, Zizhen Li, Jiaxin Ai, Fanrui Zhang, Sizhuo Zhou, Yifan Chang, Shenglin Zhang, Yu Dai, Kaipeng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A Joint Diffusion Model with Pre-Trained Priors for RNA Sequence-Structure Co-Design
Xiner Li, Masatoshi Uehara, Xingyu Su, Gabriele Scalia, Shuiwang Ji
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A Law of Data Reconstruction for Random Features (And Beyond)
Leonardo Iurada, Simone Bombari, Tatiana Tommasi, Marco Mondelli
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A Memory-Efficient Hierarchical Algorithm for Large-scale Optimal Transport Problems
Wenzhou Xia, Ya-Nan Zhu, Jingwei Liang, Xiaoqun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A Minimum Variance Path Principle for Accurate and Stable Score-Based Density Ratio Estimation
Wei Chen, Jiacheng Li, Shigui Li, Zhiqi Lin, Junmei Yang, John Paisley, Delu Zeng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A Near-Optimal Best-of-Both-Worlds Algorithm for Federated Bandits
Zicheng Hu, Zihao Wang, Cheng Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A New Approach to Controlling Linear Dynamical Systems
Anand Brahmbhatt, Gon Buzaglo, Sofiia Druchyna, Elad Hazan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A New Initialization to Control Gradients in Sinusoidal Neural Networks
Andrea Combette, Nelly Pustelnik, Antoine Venaille
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A New Paradigm for Genome-wide DNA Methylation Prediction Without Methylation Input
Xiaoke Huang, Qi Liu, Yifei Zhao, Xianfeng Tang, Yuyin Zhou, Wenpin Hou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A Noise is Worth Diffusion Guidance
Donghoon Ahn, Jiwon Kang, Sanghyun Lee, Jaewon Min, Minjae Kim, Wooseok Jang, Hyoungwon Cho, Sayak Paul, SeonHwa Kim, Eunju Cha, Kyong Jin, Seungryong Kim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A Physics-Inspired Optimizer: Velocity Regularized Adam
Pranav Vaidhyanathan, Lucas Schorling, Natalia Ares, Michael Osborne
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A Primer on SO(3) Action Representations in Deep Reinforcement Learning
Martin Schuck, Sherif Samy, Angela Schoellig
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A Probabilistic Hard Concept Bottleneck for Steerable Generative Models
María Martínez-García, Ricardo Vazquez Alvarez, Alejandro Lancho, Pablo Olmos, Isabel Valera
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A Problem-Oriented Perspective and Anchor Verification for Code Optimization
Tong Ye, Tengfei Ma, Xuhong Zhang, Hang Yu, Jianwei Yin, Wenhai Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A Recovery Guarantee for Sparse Neural Networks
Sara Fridovich-Keil, Mert Pilanci
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A Relative Error-Based Evaluation Framework of Heterogeneous Treatment Effect Estimators
Jiayi Guo, Haoxuan Li, YE TIAN, Peng Wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A Representer Theorem for Hawkes Processes via Penalized Least Squares Minimization
Hideaki Kim, Tomoharu Iwata
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A Resolution-Agnostic Geometric Transformer for Chromosome Modeling Using Inertial Frame
Yize Zhou, Haorui Li, Shengchao Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A Reward-Free Viewpoint on Multi-Objective Reinforcement Learning
Ying-Tu Chen, Wei Hung, Bing-Shu Wu, Zhang-Wei Hong, Ping-Chun Hsieh
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A Rich Knowledge Space for Scalable Deepfake Detection
Inho Jung, Hyeongjun Choi, Minh Binh Le, Hohyun Na, Simon Woo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A Scalable Constant-Factor Approximation Algorithm for $W_p$ Optimal Transport
Pankaj Agarwal, Oliver Chubet, Sharath Raghvendra, Keegan Yao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A Scalable Distributed Framework for Multimodal GigaVoxel Image Registration
Rohit Jena, Vedant Zope, Pratik A Chaudhari, James Gee
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A Scalable Inter-edge Correlation Modeling in CopulaGNN for Link Sign Prediction
Jinkyu Sung, Myunggeum Jee, Joonseok Lee
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A Scene is Worth a Thousand Features: Feed-Forward Camera Localization from a Collection of Image Features
Axel Barroso-Laguna, Tommaso Cavallari, Victor Prisacariu, Eric Brachmann
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A Schrödinger Eigenfunction Method for Long-Horizon Stochastic Optimal Control
Louis Claeys, Artur Goldman, Zebang Shen, Niao He
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A Sharp KL Convergence Analysis for Diffusion Models under Minimal Assumptions
Nishant Jain, Tong Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A Simple "Motivation" Can Enhance Reinforcement Finetuning of Large Reasoning Models
Junjie Zhang, Guozheng Ma, Shunyu Liu, Haoyu Wang, Jiaxing Huang, Ting-En Lin, Fei Huang, Yongbin Li, Dacheng Tao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A Single Architecture for Representing Invariance Under Any Space Group
Cindy Zhang, Elif Ertekin, Peter Orbanz, Ryan P Adams
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A Spectral-Grassmann Wasserstein metric for operator representations of dynamical systems
Thibaut Germain, Rémi Flamary, Vladimir Kostic, Karim Lounici
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A State-Transition Framework for Efficient LLM Reasoning
Liang Zhang, Yu Zhao, Longyue Wang, Tianqi Shi, Weihua Luo, Kaifu Zhang, Jinsong Su
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A Statistical Benchmark for Diffusion-Posterior-Sampling Algorithms
Martin Zach, Youssef Haouchat, Michael Unser
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A Statistical Learning Perspective on Semi-dual Adversarial Neural Optimal Transport Solvers
Roman Tarasov, Petr Mokrov, Milena Gazdieva, Evgeny Burnaev, Aleksandr Korotin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A Statistical Theory of Overfitting for Imbalanced Classification
Jingyang Lyu, Kangjie Zhou, Yiqiao Zhong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A Step to Decouple Optimization in 3DGS
Renjie Ding, Yaonan Wang, Min Liu, Jialin Zhu, Jiazheng Wang, Jiahao Zhao, Wenting Shen, Feixiang He, Xiang Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A Stitch in Time Saves Nine: Proactive Self-Refinement for Language Models
Jinyi Han, Xinyi Wang, Haiquan Zhao, tingyun li, Zishang Jiang, Sihang Jiang, Jiaqing Liang, Xin Lin, Weikang Zhou, Zeye Sun, Fei Yu, Yanghua Xiao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A Structured, Tagged, and Localized Visual Question Answering Dataset with Full Sentence Answers and Scene Graphs for Chest X-ray Images
Philip Müller, Friederike Jungmann, Georgios Kaissis, Daniel Rueckert
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A Study of Posterior Stability in Time-Series Latent Diffusion
Yangming Li, Yixin Cheng, Mihaela van der Schaar
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A Study on PAVE Specification for Learnware
Hao-Yu Shi, Zhi-Hao Tan, Zi-Chen Zhao, Yang Yu, Zhi-Hua Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A Tale of Two Geometries: Adaptive Optimizers and Non-Euclidean Descent
Shuo Xie, Tianhao Wang, Beining Wu, Zhiyuan Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A Theoretical Analysis of Mamba’s Training Dynamics: Filtering Relevant Features for Generalization in State Space Models
Mugunthan Shandirasegaran, Hongkang Li, Songyang Zhang, Meng Wang, Shuai Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A Training-Free Framework for Long Video Understanding via Video-Query-Options Similarity
Zhirong Wu, Xiaodong Wang, Langling Huang, Teng Xu, Peixi Peng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A Two-Phase Deep Learning Framework for Adaptive Time-Stepping in High-Speed Flow Modeling
Jacob Helwig, Sai Adavi, Xuan Zhang, Yuchao Lin, Felix S Chim, Luke Vizzini, Haiyang Yu, Muhammad Hasnain, Saykat Biswas, John Holloway, Narendra Singh, N. Anand, Swagnik Guhathakurta, Shuiwang Ji
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A Unification of Discrete, Gaussian, and Simplicial Diffusion
Nuria Chandra, Yucen Li, Alan Amin, Alex Ali, Joshua Rollins, Sebastian W. Ober, Aniruddh Raghu, Andrew Gordon Wilson
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A Unified Federated Framework for Trajectory Data Preparation via LLMs
Zhihao Zeng, Ziquan Fang, Wei Shao, Lu Chen, Yunjun Gao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A Unified Total Variation Framework for Membrane Potential Perturbation Dynamic
Zhao-Rong Lai, Xiwen Yuan, Ziliang Chen, Liangda Fang, Yongsen Zheng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A Unifying View of Coverage in Linear Off-policy Evaluation
Philip Amortila, Audrey Huang, Akshay Krishnamurthy, Nan Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A cross-species neural foundation model for end-to-end speech decoding
Yizi Zhang, Linyang He, Chaofei Fan, Tingkai Liu, Han Yu, Trung Le, Jingyuan Li, Scott Linderman, Lea Duncker, Francis Willett, Nima Mesgarani, Liam Paninski
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A foundation model with multi-variate parallel attention to generate neuronal activity
Francesco Carzaniga, Michael Hersche, Abu Sebastian, Kaspar Schindler, Abbas Rahimi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A tale of two tails: Preferred and anti-preferred natural stimuli in visual cortex
Rabia Gondur, Patricia Stan, Matthew A Smith, Benjamin Cowley
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A universal compression theory for lottery ticket hypothesis and neural scaling laws
Hong-Yi Wang, Di Luo, Tomaso Poggio, Isaac Chuang, Liu Ziyin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A$^2$FM: An Adaptive Agent Foundation Model for Tool-Aware Hybrid Reasoning
Qianben Chen, Jingyi Cao, Jiayu Zhang, Tianrui Qin, LiXiaowan, Zhu, Dingfeng Shi, He Zhu, Minghao Liu, Xiaobo Liang, Ge Zhang, Jian Yang, Yuchen Jiang, Wangchunshu Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A$^2$Search: Ambiguity-Aware Question Answering with Reinforcement Learning
Fengji Zhang, Xinyao Niu, Chengyang Ying, Guancheng Lin, Zhongkai Hao, Zhou Fan, Chengen Huang, Jacky Keung, Bei Chen, Junyang Lin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
A-TPT: Angular Diversity Calibration Properties for Test-Time Prompt Tuning of Vision-Language Models
Shihab Ahamed, Udaya Sampath K Perera Miriya Thanthrige, Ranga Rodrigo, Muhammad Haris Khan
Machine Learning
日本大学: 関与なし（対象大学）