ICLRArtificial Intelligence

International Conference on Learning Representations

2020 - 2026官方网站

最新论文

(U)NFV: (Un)Supervised Neural Finite Volume Methods for Solving Hyperbolic PDEsNathan Lichtlé, Alexi Canesse, Zhe Fu, HOSSEIN NICK ZINAT MATIN 等 · 2026
``Noisier'’ Noise Contrastive Estimation is (Almost) Maximum LikelihoodPeiyu Yu, Dinghuai Zhang, Hengzhi He, Xiaojian Ma 等 · 2026 · 被引用 11 次
<SO $G_k$ >: One LLM Token for Explicit Graph Structural UnderstandingJingyao Wu, Bin Lu, Zijun Di, Xiaoying Gan 等 · 2026 · 被引用 2 次
$\alpha$ -DPO: Robust Preference Alignment for Diffusion Models via $\alpha$ DivergenceYang Li, Songlin Yang, Wei Wang, Xiaoxuan Han 等 · 2026
$\boldsymbol{\partial^\infty}$ -Grid: A Neural Differential Equation Solver with Differentiable Feature GridsNavami Kairanda, Shanthika Naik, Marc Habermann, Avinash Sharma 等 · 2026
$\ell_1$ Latent Distance based Continuous-time Graph RepresentationZhao-Rong Lai, Zheng-Sen Zhou, Liangda Fang, Yongsen Zheng 等 · 2026
$\mathbf{Li_2}$ : A Framework on Dynamics of Feature Emergence and Delayed GeneralizationYuandong Tian · 2026
$\mu$ LO: Compute-Efficient Meta-Generalization of Learned OptimizersBenjamin Thérien, Charles-Étienne Joseph, Boris Knyazev, Edouard Oyallon 等 · 2026 · 被引用 10 次
$\nabla$ -Reasoner: LLM Reasoning via Test-Time Gradient Descent in Latent SpacePeihao Wang, Ruisi Cai, Zhen Wang, Hongyuan Mei 等 · 2026 · 被引用 2 次
$\pi^3$ : Permutation-Equivariant Visual Geometry LearningYifan Wang, Jianjun Zhou, Haoyi Zhu, Wenzheng Chang 等 · 2026 · 被引用 148 次
$\textbf{Re}^{2}$ : Unlocking LLM Reasoning via Reinforcement Learning with Re-solvingPinzheng Wang, ShuliXu, Juntao Li, Yu Luo 等 · 2026 · 被引用 2 次
$\textit{MADFormer}$ : Mixed Autoregressive and Diffusion Transformers for Continuous Image GenerationJunhao Chen, Yulia Tsvetkov, Xiaochuang Han · 2026
$AutoDrive\text{-}P^3$ : Unified Chain of Perception–Prediction–Planning Thought via Reinforcement Fine-TuningYuqi Ye, Zijian Zhang, Junhong Lin, Shangkun Sun 等 · 2026 · 被引用 2 次
$PhyWorldBench$ : A Comprehensive Evaluation of Physical Realism in Text-to-Video ModelsJing Gu, Xian Liu, Yu Zeng, Ashwin Nagarajan 等 · 2026 · 被引用 14 次
3D Aware Region Prompted Vision Language ModelAn-Chieh Cheng, Yang Fu, Yukang Chen, Zhijian Liu 等 · 2026 · 被引用 22 次
3D Scene Prompting for Scene-Consistent Camera-Controllable Video GenerationJoungBin Lee, Jaewoo Jung, Jisang Han, Takuya Narihira 等 · 2026 · 被引用 6 次
3D-aware Disentangled Representation for Compositional Reinforcement LearningSungbin Mun, Younghwan Lee, Cheol-Hui Min, Mineui Hong 等 · 2026
3DCS: Datasets and Benchmark for Evaluating Conformational Sensitivity in Molecular RepresentationsXi Wang, Yang Zhang, Yingjia Zhang, Yejia Cai 等 · 2026
3DGEER: 3D Gaussian Rendering Made Exact and Efficient for Generic CamerasZixun Huang, Cho-Ying Wu, Yuliang Guo, Xinyu Huang 等 · 2026 · 被引用 2 次
3DSMT: A Hybrid Spiking Mamba-Transformer for Point Cloud AnalysisZhouzhiming, Yong He, Qiaoyun Wu, Chaoxu Mu 等 · 2026
A Balanced Neuro-Symbolic Approach for Commonsense Abductive LogicJoseph Cotnareanu, Didier Chételat, Yingxue Zhang, Mark Coates · 2026 · 被引用 3 次
A Bayesian Nonparametric Framework For Learning Disentangled RepresentationsVaishnavi S Patil, Siddhi Patil, Matthew Evanusa, Amit Kumar Kundu 等 · 2026
A Bayesian Nonparametric Framework for Private, Fair, and Balanced Tabular Data SynthesisForough Fazeli-Asl, Michael Minyi Zhang, Linglong Kong, Bei Jiang · 2026
A Benchmark for Deep Information SynthesisDebjit Paul, Daniel Murphy, Milan Gritta, Ronald Cardenas 等 · 2026