firstbacksecondback
287 Results
|
Poster
|
Thu 2:30 |
A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions from Data Wenqiang Li · Weijun Li · Lina Yu · Min Wu · Linjun Sun · Jingyi Liu · Yanjie Li · Shu Wei · Deng Yusong · Meilan Hao |
|
|
Workshop
|
Invertible Temper Modeling using Normalizing Flows and the Effects of Structure Preserving Loss Tegan Emerson · Henry Kvinge · Keerti Kappagantula · Sylvia Howland |
||
|
Oral
|
Tue 8:00 |
Provable Multi-Task Representation Learning by Two-Layer ReLU Neural Networks Liam Collins · Hamed Hassani · Mahdi Soltanolkotabi · Aryan Mokhtari · Sanjay Shakkottai |
|
|
Oral
|
Thu 2:00 |
Parameterized Physics-informed Neural Networks for Parameterized PDEs Woojin Cho · Minju Jo · Haksoo Lim · Kookjin Lee · Dongeun Lee · Sanghyun Hong · Noseong Park |
|
|
Poster
|
Tue 4:30 |
Benign Overfitting in Adversarial Training of Neural Networks Yunjuan Wang · Kaibo Zhang · Raman Arora |
|
|
Poster
|
Tue 2:30 |
Synergistic Integration of Coordinate Network and Tensorial Feature for Improving Neural Radiance Fields from Sparse Inputs Mingyu Kim · Kim Jun-Seong · Se-Young Yun · Jin-Hwa Kim |
|
|
Poster
|
Tue 2:30 |
Human-like Category Learning by Injecting Ecological Priors from Large Language Models into Neural Networks Akshay Kumar Jagadish · Julian Coda-Forno · Mirko Thalmann · Eric Schulz · Marcel Binz |
|
|
Poster
|
Tue 2:30 |
PARCv2: Physics-aware Recurrent Convolutional Neural Networks for Spatiotemporal Dynamics Modeling Phong Nguyen · Xinlun Cheng · Shahab Azarfar · Pradeep Seshadri · Yen Nguyen · Munho Kim · Sanghun Choi · H. Udaykumar · Stephen Baek |
|
|
Oral
|
Thu 1:45 |
From Coarse to Fine: Enable Comprehensive Graph Self-supervised Learning with Multi-granular Semantic Ensemble Qianlong Wen · Mingxuan Ju · Zhongyu Ouyang · Chuxu Zhang · Yanfang Ye |
|
|
Poster
|
Wed 2:30 |
Graph Attention Retrospective Kimon Fountoulakis · Amit Levi · Shenghao Yang · Aseem Baranwal · Aukosh Jagannath |
|
|
Poster
|
Thu 2:30 |
Parameterized Physics-informed Neural Networks for Parameterized PDEs Woojin Cho · Minju Jo · Haksoo Lim · Kookjin Lee · Dongeun Lee · Sanghyun Hong · Noseong Park |
|
|
Oral
|
Tue 1:30 |
LSEnet: Lorentz Structural Entropy Neural Network for Deep Graph Clustering Li Sun · Zhenhao Huang · Hao Peng · YuJie Wang · Chunyang Liu · Philip Yu |