Liqiang Lin, Wenpeng Wu, Chi-Wing Fu, Hao Zhang, Hui Huang, "CRAYM: Neural Field Optimization via Camera RAY Matching," NeurIPS 2024
Jincheng Mei, Bo Dai, Alekh Agarwal, Sharan Vaswani, Anant Raj, Csaba Szepesvari, Dale Schuurmans, "Small steps no more: Global convergence of stochastic gradient bandits for arbitrary learning rates," NeurIPS 2024
Kiyohiro Nakayama, Mikaela Angelina Uy, Yang You, Ke Li, Leonidas Guibas, "ProvNeRF: Modeling per Point Provenance in NeRFs as a Stochastic Process," NeurIPS 2024
Jialin Song*, Wuyang Chen*, Pu Ren, Shashank Subramanian, Dmitriy Morozov, Michael Mahoney, "Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning," NeurIPS 2024
Shakiba Kheradmand, Daniel Rebain, Gopal Sharma, Weiwei Sun, Yang-Che Tseng, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, Kwang Moo Yi, "3D Gaussian Splatting as Markov Chain Monte Carlo," NeurIPS 2024
Ben Adcock, Nick Dexter, Sebastian Moraga, "Optimal deep learning of holomorphic operators between Banach spaces," NeurIPS 2024
Andrew Davison, S. Carlyle Morgan, Owen G. Ward, "Community Detection Guarantees Using Embeddings Learned by Node2Vec," NeurIPS 2024
Linyi Li, Shijie Geng, Zhenwen Li, Yibo He, Hao Yu, Ziyue Hua, Guanghan Ning, Siwei Wang, Tao Xie, Hongxia Yang, "InfiBench: Evaluating the Question-Answering Capabilities of Code Large Language Models," NeurIPS 2024 Datasets and Benchmarks Track
Zahra Gharaee, Scott Lowe, ZeMing Gong, Pablo Millan Arias, Nicholas Pellegrino, Austin T. Wang, Joakim Bruslund Haurum, Iuliia Zarubiieva, Lila Kari, Dirk Steinke, Graham Taylor, Paul Fieguth, Angel Chang, "BIOSCAN-5M: A Multimodal Dataset for Insect Biodiversity," NeurIPS 2024 Datasets and Benchmarks Track
Shuman Peng, Arash Khoeini, Sharan Vaswani, Martin Ester, "Improving OOD Generalization of Pre-trained Encoders via Aligned Embedding-Space Ensembles," NeurIPS 2024 Workshop on Unifying Representations in Neural Models
Arash Khoeini, Shuman Peng, Martin Ester, "Informed Augmentation Selection Improves Tabular Contrastive Learning," NeurIPS 2024 Workshop on Self-Supervised Learning - Theory and Practice
Ali Izadi, Martin Ester, "Causal Order Discovery Based on Monotonic SCMs," NeurIPS 2024 Workshop on Causal Representation Learning
Steve DiPaola, "Rethinking artificial intelligence creativity and ideation systems," NeurIPS 2024 Workshop on Creativity & Generative AI
Xingguang Yan, Han-Hung Lee, Ziyu Wan, Angel Chang, "An Object is Worth 64x64 Pixels: Generating 3D Object via Image Diffusion," NeurIPS 2024 Workshop on Creativity & Generative AI,
19th Women in Machine Learning Workshop (WiML 2024) (Dec. 10) Invited Talk and Panelist: Angelica Lim
Workshop on Creativity & Generative AI (Dec. 14, Room #201) Advisor: Nick Vincent
Workshop on Open-World Agents (OWA-2024) (Dec. 15, Ballroom A+B) Organizer: Angel Chang
Foundation Models for Science: Progress, Opportunities, and Challenges (Dec. 15, Room #202 - 204) Organizer: Wuyang Chen