Sign in Get started

ICLRArtificial Intelligence

International Conference on Learning Representations

2020 - 2026Website

Recent papers

(U)NFV: (Un)Supervised Neural Finite Volume Methods for Solving Hyperbolic PDEsNathan Lichtlé, Alexi Canesse, Zhe Fu, HOSSEIN NICK ZINAT MATIN et al. · 2026
``Noisier'’ Noise Contrastive Estimation is (Almost) Maximum LikelihoodPeiyu Yu, Dinghuai Zhang, Hengzhi He, Xiaojian Ma et al. · 2026 · 11 citations
<SO $G_k$ >: One LLM Token for Explicit Graph Structural UnderstandingJingyao Wu, Bin Lu, Zijun Di, Xiaoying Gan et al. · 2026 · 2 citations
$\alpha$ -DPO: Robust Preference Alignment for Diffusion Models via $\alpha$ DivergenceYang Li, Songlin Yang, Wei Wang, Xiaoxuan Han et al. · 2026
$\boldsymbol{\partial^\infty}$ -Grid: A Neural Differential Equation Solver with Differentiable Feature GridsNavami Kairanda, Shanthika Naik, Marc Habermann, Avinash Sharma et al. · 2026
$\ell_1$ Latent Distance based Continuous-time Graph RepresentationZhao-Rong Lai, Zheng-Sen Zhou, Liangda Fang, Yongsen Zheng et al. · 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 et al. · 2026 · 10 citations
$\nabla$ -Reasoner: LLM Reasoning via Test-Time Gradient Descent in Latent SpacePeihao Wang, Ruisi Cai, Zhen Wang, Hongyuan Mei et al. · 2026 · 2 citations
$\pi^3$ : Permutation-Equivariant Visual Geometry LearningYifan Wang, Jianjun Zhou, Haoyi Zhu, Wenzheng Chang et al. · 2026 · 148 citations
$\textbf{Re}^{2}$ : Unlocking LLM Reasoning via Reinforcement Learning with Re-solvingPinzheng Wang, ShuliXu, Juntao Li, Yu Luo et al. · 2026 · 2 citations
$\textit{MADFormer}$ : 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 et al. · 2026 · 2 citations
$PhyWorldBench$ : A Comprehensive Evaluation of Physical Realism in Text-to-Video ModelsJing Gu, Xian Liu, Yu Zeng, Ashwin Nagarajan et al. · 2026 · 14 citations
3D Aware Region Prompted Vision Language ModelAn-Chieh Cheng, Yang Fu, Yukang Chen, Zhijian Liu et al. · 2026 · 22 citations
3D Scene Prompting for Scene-Consistent Camera-Controllable Video GenerationJoungBin Lee, Jaewoo Jung, Jisang Han, Takuya Narihira et al. · 2026 · 6 citations
3D-aware Disentangled Representation for Compositional Reinforcement LearningSungbin Mun, Younghwan Lee, Cheol-Hui Min, Mineui Hong et al. · 2026
3DCS: Datasets and Benchmark for Evaluating Conformational Sensitivity in Molecular RepresentationsXi Wang, Yang Zhang, Yingjia Zhang, Yejia Cai et al. · 2026
3DGEER: 3D Gaussian Rendering Made Exact and Efficient for Generic CamerasZixun Huang, Cho-Ying Wu, Yuliang Guo, Xinyu Huang et al. · 2026 · 2 citations
3DSMT: A Hybrid Spiking Mamba-Transformer for Point Cloud AnalysisZhouzhiming, Yong He, Qiaoyun Wu, Chaoxu Mu et al. · 2026
A Balanced Neuro-Symbolic Approach for Commonsense Abductive LogicJoseph Cotnareanu, Didier Chételat, Yingxue Zhang, Mark Coates · 2026 · 3 citations
A Bayesian Nonparametric Framework For Learning Disentangled RepresentationsVaishnavi S Patil, Siddhi Patil, Matthew Evanusa, Amit Kumar Kundu et al. · 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 et al. · 2026