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Poster
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Thu 11:00
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Stochastic Optimal Control for Diffusion Bridges in Function Spaces
Byoungwoo Park · Jungwon Choi · Sungbin Lim · Juho Lee
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Workshop
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In-Context Learning for Function Approximation with DeepSet-ONet
Shao-Ting Chiu · Junyuan Hong · Ulisses M. Braga-Neto
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Poster
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On the Identifiability of Poisson Branching Structural Causal Model Using Probability Generating Function
Yu Xiang · Jie Qiao · Zefeng Liang · Zihuai Zeng · Ruichu Cai · Zhifeng Hao
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Workshop
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Conic Activation Functions
Changqing Fu · Laurent Cohen
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Poster
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Thu 16:30
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SimGen: Simulator-conditioned Driving Scene Generation
Yunsong Zhou · Michael Simon · Zhenghao (Mark) Peng · Sicheng Mo · Hongzi Zhu · Minyi Guo · Bolei Zhou
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Workshop
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Deep Generative Models Unveil Patterns in Medical Images Through Vision- “Language” Conditioning
Xiaodan Xing · Junzhi Ning · Yang Nan · Guang Yang
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Poster
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Wed 11:00
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DiffGS: Functional Gaussian Splatting Diffusion
Junsheng Zhou · Weiqi Zhang · Yu-Shen Liu
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Workshop
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Sat 14:30
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2:30 - 3:30 PM: Deep Generative Models Unveil Patterns in Medical Images Through Vision-Language Conditioning
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Poster
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Fri 16:30
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Magnet: We Never Know How Text-to-Image Diffusion Models Work, Until We Learn How Vision-Language Models Function
Chenyi Zhuang · Ying Hu · Pan Gao
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Workshop
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Sun 13:30
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Conditional Generative Modeling on Discrete State Spaces
Jennifer Listgarten
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Competition
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Sun 9:20
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A Conditional Generative Adversarial Network Model for the Weather4Cast 2024 Challenge
Kaushik Gopalan
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Poster
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Fri 11:00
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Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling
Jiatao Gu · Ying Shen · Shuangfei Zhai · Yizhe Zhang · Navdeep Jaitly · Joshua Susskind
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