firstbacksecondback
84 Results
Poster
|
Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization Chaoqi Chen · Luyao Tang · Feng Liu · Gangming Zhao · Yue Huang · Yizhou Yu |
||
Poster
|
Learning Substructure Invariance for Out-of-Distribution Molecular Representations Nianzu Yang · Kaipeng Zeng · Qitian Wu · Xiaosong Jia · Junchi Yan |
||
Poster
|
Wed 9:00 |
Learning Chaotic Dynamics in Dissipative Systems Zongyi Li · Miguel Liu-Schiaffini · Nikola Kovachki · Kamyar Azizzadenesheli · Burigede Liu · Kaushik Bhattacharya · Andrew Stuart · Anima Anandkumar |
|
Poster
|
ZIN: When and How to Learn Invariance Without Environment Partition? Yong Lin · Shengyu Zhu · Lu Tan · Peng Cui |
||
Poster
|
Tue 9:00 |
In What Ways Are Deep Neural Networks Invariant and How Should We Measure This? Henry Kvinge · Tegan Emerson · Grayson Jorgenson · Scott Vasquez · Tim Doster · Jesse Lew |
|
Poster
|
Wed 9:00 |
Iterative Feature Matching: Toward Provable Domain Generalization with Logarithmic Environments Yining Chen · Elan Rosenfeld · Mark Sellke · Tengyu Ma · Andrej Risteski |
|
Poster
|
Tue 14:00 |
On the detrimental effect of invariances in the likelihood for variational inference Richard Kurle · Ralf Herbrich · Tim Januschowski · Yuyang (Bernie) Wang · Jan Gasthaus |
|
Poster
|
Tue 14:00 |
Learnable Polyphase Sampling for Shift Invariant and Equivariant Convolutional Networks Renan A. Rojas-Gomez · Teck-Yian Lim · Alex Schwing · Minh Do · Raymond A. Yeh |
|
Poster
|
Wed 9:00 |
Unsupervised Learning of Group Invariant and Equivariant Representations Robin Winter · Marco Bertolini · Tuan Le · Frank Noe · Djork-Arné Clevert |
|
Poster
|
Learning Invariant Graph Representations for Out-of-Distribution Generalization Haoyang Li · Ziwei Zhang · Xin Wang · Wenwu Zhu |
||
Poster
|
Wed 9:00 |
Spherical Channels for Modeling Atomic Interactions Larry Zitnick · Abhishek Das · Adeesh Kolluru · Janice Lan · Muhammed Shuaibi · Anuroop Sriram · Zachary Ulissi · Brandon Wood |
|
Poster
|
Tue 14:00 |
Graph Neural Networks with Adaptive Readouts David Buterez · Jon Paul Janet · Steven J Kiddle · Dino Oglic · Pietro Liò |