LudwigAbap

cs.CV

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Papers

paper Michael M. Bronstein · 2021 Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges cs.AI cs.CG cs.CV cs.LG stat.ML

paper Michael M. Bronstein · 2021 Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges cs.AI cs.CG cs.CV cs.LG stat.ML

paper Prakhar Kaushik · 2025 The Universal Weight Subspace Hypothesis cs.AI cs.CV cs.LG

paper Quang Pham · 2022 Continual Learning: Fast and Slow cs.AI cs.CV cs.LG

paper Mihir Prabhudesai · 2025 Diffusion Beats Autoregressive in Data-Constrained Settings cs.AI cs.CV cs.LG cs.RO

paper Michael M. Bronstein · 2021 Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges cs.AI cs.CG cs.CV cs.LG stat.ML
paper Chaorui Deng · 2025 Emerging Properties in Unified Multimodal Pretraining cs.CV

paper Yang Yue · 2025 Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model? cs.AI cs.CL cs.CV

paper Yi Xu · 2025 Visual Planning: Let's Think Only with Images cs.AI cs.CL cs.CV cs.LG
paper Minyoung Huh · 2024 The Platonic Representation Hypothesis cs.AI cs.CV cs.LG cs.NE

paper A. Emin Orhan · 2023 Learning high-level visual representations from a child's perspective without strong inductive biases cs.CV cs.LG cs.NE q-bio.NC

paper Khang H. N. Vo · 2025 TI-JEPA: An Innovative Energy-based Joint Embedding Strategy for Text-Image Multimodal Systems cs.CL cs.CV
paper Mahmoud Assran · 2023 Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture cs.AI cs.CV cs.LG eess.IV