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ICMLArtificial Intelligence

International Conference on Machine Learning

2020 - 2026Website

Recent papers

“Do Diffusion Models Dream of Electric Planes?” Discrete and Continuous Simulation-Based Inference for Aircraft DesignAurelien Ghiglino, Daniel Elenius, Anirban Roy, Ramneet Kaur et al. · 2026 · 1 citation
“very likely” Means “uncertain”? How LLMs Diverge from Humans in Linguistic Uncertainty QuantificationJinhao Duan, Zicheng Liu, Zijie Liu, Kaidi Xu et al. · 2026
(1D) Ordered Tokens Enable Efficient Test-Time SearchZhitong Gao, Parham Rezaei, Ali Cy, Mingqiao Ye et al. · 2026 · 1 citation
(Be Cautious!) Bio-Foundation Models Are Not Yet Robust to Biologically Plausible Perturbations and ML TransformationsJinhao Duan, Ruichen Zhang, Gengwei Zhang, Huaizhi Qu et al. · 2026
(De)-regularized Maximum Mean Discrepancy Gradient FlowZonghao Chen, Aratrika Mustafi, Pierre Glaser, Anna Korba et al. · 2026 · 16 citations
(Doubly) Exponential Lower Bounds for Follow the Regularized Leader in Potential GamesIoannis Anagnostides, Ioannis Panageas, Nikolas Patris, Tuomas Sandholm · 2026 · 2 citations
(Sparse) Attention to the Details: Preserving Spectral Fidelity in ML-based Weather Forecasting ModelsMaksim Zhdanov, Ana Lucic, Max Welling, Jan-Willem van de Meent · 2026 · 2 citations
[CLS] is Not Enough: Multi-Label Recognition via Patch-Level Inference and Adaptive AggregationAkang Wang, Xili Deng, Zhanxuan Hu, Yi Zhao et al. · 2026 · 1 citation
MemPot: Defend Against Memory Extraction Attack with Optimized HoneypotsYuhao Wang, Shengfang ZHAI, Guanghao Jin, Yinpeng Dong et al. · 2026 · 1 citation
``Someone Hid It!'': Query-Agnostic Black-Box Attacks on LLM-Based RetrievalJiate Li, Defu Cao, Li Li, Wei Yang et al. · 2026 · 4 citations
$\alpha$ -PFN: Fast Entropy Search via In-Context LearningHerilalaina Rakotoarison, Steven Adriaensen, Tom Viering, Carl Hvarfner et al. · 2026
$\mathbb{R}^{2k}$ is Theoretically Large Enough for Embedding-based Top- $k$ RetrievalZihao Wang, Hang Yin, Lihui Liu, Hanghang Tong et al. · 2026
$\mathcal{O}(\log N)$ Latent Dimension Suffices for Universal Approximation of Permutation-invariant FunctionMin ZHOU, Enming Liang, Minghua Chen · 2026
$\mu$ pscaling small models: Principled warm starts and hyperparameter transferYuxin Ma, Nan Chen, Mateo D Diaz, Soufiane Hayou et al. · 2026 · 1 citation
$\phi$ -Balancing for Mixture-of-Experts TrainingLizhang Chen, Jonathan Li, Qi Wang, Runlong Liao et al. · 2026
$\sigma$ : Sigmoid Modulation for Ultra High Resolution DiffusionBingxuan Zhao, Qing Zhou, Yu Wang, Chuang Yang et al. · 2026
$\tau^2$ -Bench: Evaluating Conversational Agents in a Dual-Control EnvironmentVictor Barres, Honghua Dong, Soham Ray, Xujie Si et al. · 2026 · 399 citations
$\tau$ -Knowledge: Evaluating Conversational Agents over Unstructured KnowledgeQuan Shi, Alexandra Zytek, Pedram Razavi, Karthik Narasimhan et al. · 2026 · 15 citations
$\tau$ -Voice: Benchmarking Full-Duplex Voice Agents on Real-World DomainsSoham Ray, Keshav Dhandhania, Victor Barres, Karthik Narasimhan · 2026
$\text{DT}^\text{2}$ : Decision-Targeted Digital TwinsHarry Amad, Mihaela van der Schaar · 2026
$\textit{S}$ -SPPO: Semantic-Calibrated Self-Play Preference OptimizationXiwen Chen, Wenhui Zhu, Jingjing Wang, Peijie Qiu et al. · 2026
$\texttt{FHAIM}$ : Fully Homomorphic AIM for Private Tabular Synthetic Data GenerationMayank Kumar, Qian Lou, Paulo Barreto, Martine De Cock et al. · 2026 · 1 citation
$\texttt{FlashSchNet}$ : Fast and Accurate Coarse-Grained Neural Network Molecular DynamicsPingzhi Li, Hongxuan Li, Zirui Liu, Xingcheng Lin et al. · 2026
$\texttt{MetaDistill}$ : Unlocking the Performance Ceiling for Pretrained OptimizersMuqi Han, Ruoqi Xing, KAI WU, Xiaoyu Zhang et al. · 2026