firstbacksecondback
21 Results
|
Workshop
|
Task-Relevant Covariance from Manifold Capacity Theory Improves Robustness in Deep Networks William Yang · Chi-Ning Chou · SueYeon Chung |
||
|
Poster
|
Thu 16:30 |
QKFormer: Hierarchical Spiking Transformer using Q-K Attention chenlin zhou · Han Zhang · Zhaokun Zhou · Liutao Yu · Liwei Huang · Xiaopeng Fan · Li Yuan · Zhengyu Ma · Huihui Zhou · Yonghong Tian |
|
|
Workshop
|
Optimality and Adaptivity of Deep Neural Features for Instrumental Variable Regression Juno Kim · Dimitri Meunier · Arthur Gretton · Taiji Suzuki · Zhu Li |
||
|
Workshop
|
Multi-task Learning yields Disentangled World Models: Impact and Implications Pantelis Vafidis · Aman Bhargava · Antonio Rangel |
||
|
Poster
|
Wed 11:00 |
Active learning of neural population dynamics using two-photon holographic optogenetics Andrew Wagenmaker · Lu Mi · Marton Rozsa · Matthew Bull · Karel Svoboda · Kayvon Daie · Matthew Golub · Kevin Jamieson |
|
|
Workshop
|
From Lazy to Rich: Exact Learning Dynamics in Deep Linear Networks Clémentine Dominé · Nicolas Anguita · Alexandra Proca · Lukas Braun · Daniel Kunin · Pedro A.M Mediano · Andrew Saxe |
||
|
Workshop
|
From Lazy to Rich: Exact Learning Dynamics in Deep Linear Networks Clémentine Dominé · Nicolas Anguita · Alexandra Proca · Lukas Braun · Daniel Kunin · Pedro A.M Mediano · Andrew Saxe |
||
|
Workshop
|
Position: Maximizing Neural Regression Scores May Not Identify Good Models of the Brain Rylan Schaeffer · Mikail Khona · Sarthak Chandra · Mitchell Ostrow · Brando Miranda · Sanmi Koyejo |
||
|
Poster
|
Fri 16:30 |
Brain Treebank: Large-scale intracranial recordings from naturalistic language stimuli Christopher Wang · Adam Yaari · Aaditya Singh · Vighnesh Subramaniam · Dana Rosenfarb · Jan DeWitt · Pranav Misra · Joseph Madsen · Scellig Stone · Gabriel Kreiman · Boris Katz · Ignacio Cases · Andrei Barbu |