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Researchers from the USC Viterbi School of Engineering are making a significant impact at the 2025 International Conference on Learning Representations (ICLR), presenting 24 papers that span theoretical advances and real-world applications in deep learning. Highlights include a prestigious oral presentation for work on benchmarking and enhancing vision-language models for physical world understanding, as well as spotlight papers recognized for their breakthroughs in areas such as health, computer vision, and neuroscience. The range of topics reflects USC's strengths in foundational AI research, including interpretability, physics-inspired machine learning, and the social dimensions of AI. Notably, USC's contributions also address the challenges faced by emerging 3D geometric foundation models, underscoring the school's commitment to advancing the field and addressing real-world problems.