18 Results

Poster	Wed 9:00	M³ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design hanxue liang · Zhiwen Fan · Rishov Sarkar · Ziyu Jiang · Tianlong Chen · Kai Zou · Yu Cheng · Cong Hao · Zhangyang Wang
Poster	Wed 9:00	Bayesian Clustering of Neural Spiking Activity Using a Mixture of Dynamic Poisson Factor Analyzers Ganchao Wei · Ian H Stevenson · Xiaojing Wang
Poster	Wed 9:00	Mean Estimation in High-Dimensional Binary Markov Gaussian Mixture Models Yihan Zhang · Nir Weinberger
Poster	Wed 9:00	Beyond black box densities: Parameter learning for the deviated components Dat Do · Nhat Ho · XuanLong Nguyen
Poster	Thu 9:00	Unsupervised Learning under Latent Label Shift Manley Roberts · Pranav Mani · Saurabh Garg · Zachary Lipton
Workshop		Potential Energy based Mixture Model for Noisy Label Learning Zijia Wang · Wenbin Yang · Zhi-Song Liu · Zhen Jia
Poster	Thu 14:00	Semi-Discrete Normalizing Flows through Differentiable Tessellation Ricky T. Q. Chen · Brandon Amos · Maximilian Nickel
Poster		Online Neural Sequence Detection with Hierarchical Dirichlet Point Process Weihan Li · Yu Qi · Gang Pan
Poster		High-dimensional limit theorems for SGD: Effective dynamics and critical scaling Gerard Ben Arous · Reza Gheissari · Aukosh Jagannath
Workshop		Probabilistic Mixture Modeling For End-Member Extraction in Hyperspectral Data Oliver Hoidn · Aashwin Mishra · Apurva Mehta
Poster	Wed 14:00	GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models Chen Liang · Wenguan Wang · Jiaxu Miao · Yi Yang
Poster	Tue 14:00	Robust Model Selection and Nearly-Proper Learning for GMMs Allen Liu · Jerry Li · Ankur Moitra