ICLRArtificial Intelligence
International Conference on Learning Representations
15,530已索引 Paper
2020-2026覆盖年份
最新论文
- : One LLM Token for Explicit Graph Structural UnderstandingJingyao Wu, Bin Lu, Zijun Di, Xiaoying Gan 等2026 · 被引用 2 次
- (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
- ∇-Reasoner: LLM Reasoning via Test-Time Gradient Descent in Latent SpacePeihao Wang, Ruisi Cai, Zhen Wang, Hongyuan Mei 等2026 · 被引用 5 次
- -DPO: Robust Preference Alignment for Diffusion Models via DivergenceYang Li, Songlin Yang, Wei Wang, Xiaoxuan Han 等2026
- -Grid: A Neural Differential Equation Solver with Differentiable Feature GridsNavami Kairanda, Shanthika Naik, Marc Habermann, Avinash Sharma 等2026
- 3D Aware Region Prompted Vision Language ModelAn-Chieh Cheng, Yang Fu, Yukang Chen, Zhijian Liu 等2026 · 被引用 30 次
- 3D Scene Prompting for Scene-Consistent Camera-Controllable Video GenerationJoungBin Lee, Jaewoo Jung, Jisang Han, Takuya Narihira 等2026 · 被引用 14 次
- 3D-aware Disentangled Representation for Compositional Reinforcement LearningSungbin Mun, Younghwan Lee, Cheolhui 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 9 次
- 3DSMT: A Hybrid Spiking Mamba-Transformer for Point Cloud AnalysisZhiming Zhou, Yong He, Qiaoyun Wu, Chaoxu Mu 等2026
- A Balanced Neuro-Symbolic Approach for Commonsense Abductive LogicJoseph Cotnareanu, Didier Chételat, Yingxue Zhang, Mark Coates2026 · 被引用 3 次
- A Bayesian Nonparametric Framework For Learning Disentangled RepresentationsVaishnavi 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 Jiang2026
- A Benchmark for Deep Information SynthesisDebjit Paul, Daniel Murphy, Milan Gritta, Ronald Cardenas 等2026 · 被引用 1 次
- A Biologically Plausible Dense Associative Memory with Exponential CapacityMohadeseh Shafiei Kafraj, Dmitry Krotov, Peter E. Latham2026 · 被引用 7 次
- A Block Coordinate Descent Method for Nonsmooth Composite Optimization under Orthogonality ConstraintsGanzhao Yuan2026 · 被引用 5 次
- A Brain Graph Foundation Model: Pre-Training and Prompt-Tuning across Broad Atlases and DisordersXinxu Wei, kanhao zhao, Yong Jiao, Lifang He 等2026 · 被引用 6 次
- A Brain-Inspired Gating Mechanism Unlocks Robust Computation in Spiking Neural NetworksQianyi Bai, Haiteng Wang, Qiang Yu2026 · 被引用 2 次
- A Cognitive Process-Inspired Architecture for Subject-Agnostic Brain Visual DecodingJingyu Lu, Haonan Wang, Qixiang Zhang, Xiaomeng Li2026 · 被引用 3 次
- A Comprehensive Information-Decomposition Analysis of Large Vision-Language ModelsLixin Xiu, Xufang Luo, Hideki Nakayama2026 · 被引用 4 次
- A Convergence Analysis of Adaptive Optimizers under Floating-point QuantizationXuan Tang, Jichu Li, Difan Zou2026 · 被引用 8 次
- A cross-species neural foundation model for end-to-end speech decodingYizi Zhang, Linyang He, Chaofei Fan, Tingkai Liu 等2026 · 被引用 5 次
