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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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Wed 11:00
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Remove that Square Root: A New Efficient Scale-Invariant Version of AdaGrad
Sayantan Choudhury · Nazarii Tupitsa · Nicolas Loizou · Samuel Horváth · Martin Takac · Eduard Gorbunov
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Poster
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Wed 16:30
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The Minimax Rate of HSIC Estimation for Translation-Invariant Kernels
Florian Kalinke · Zoltan Szabo
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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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Wed 11:00
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Learning 3D Equivariant Implicit Function with Patch-Level Pose-Invariant Representation
Xin Hu · Xiaole Tang · Ruixuan Yu · Jian Sun
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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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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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Thu 11:00
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Pard: Permutation-Invariant Autoregressive Diffusion for Graph Generation
Lingxiao Zhao · Xueying Ding · Leman Akoglu
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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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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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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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