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Poster
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Thu 11:00
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You Only Look Around: Learning Illumination-Invariant Feature for Low-light Object Detection
Mingbo Hong · Shen Cheng · Haibin Huang · Haoqiang Fan · Shuaicheng Liu
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Workshop
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Seq-JEPA: Autoregressive Predictive Learning of Invariant-Equivariant World Models
Hafez Ghaemi · Eilif B. Muller · Shahab Bakhtiari
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Poster
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Thu 16:30
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PertEval: Unveiling Real Knowledge Capacity of LLMs with Knowledge-Invariant Perturbations
Jiatong Li · Renjun Hu · Kunzhe Huang · Yan Zhuang · Qi Liu · Mengxiao Zhu · Xing Shi · Wei Lin
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Poster
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Thu 16:30
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Implicit Regularization of Sharpness-Aware Minimization for Scale-Invariant Problems
Bingcong Li · Liang Zhang · Niao He
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Poster
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Thu 16:30
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Transformation-Invariant Learning and Theoretical Guarantees for OOD Generalization
Omar Montasser · Han Shao · Emmanuel Abbe
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Poster
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The Implicit Bias of Heterogeneity towards Invariance: A Study of Multi-Environment Matrix Sensing
Yang Xu · Yihong Gu · Cong Fang
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Poster
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Thu 11:00
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Dissecting the Failure of Invariant Learning on Graphs
Qixun Wang · Yifei Wang · Yisen Wang · Xianghua Ying
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Poster
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Wed 16:30
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Reparameterization invariance in approximate Bayesian inference
Hrittik Roy · Marco Miani · Carl Henrik Ek · Philipp Hennig · Marvin Pförtner · Lukas Tatzel · Søren Hauberg
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Poster
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Fri 16:30
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Scale-invariant Optimal Sampling for Rare-events Data and Sparse Models
Jing Wang · HaiYing Wang · Hao Zhang
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Poster
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Fri 16:30
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Simplifying Latent Dynamics with Softly State-Invariant World Models
Tankred Saanum · Peter Dayan · Eric Schulz
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Poster
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Wed 16:30
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A Canonicalization Perspective on Invariant and Equivariant Learning
George Ma · Yifei Wang · Derek Lim · Stefanie Jegelka · Yisen Wang
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Poster
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Fri 11:00
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Sample-efficient Bayesian Optimisation Using Known Invariances
Theodore Brown · Alexandru Cioba · Ilija Bogunovic
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