firstbacksecondback
200 Results
|
Poster
|
Tue 2:30 |
Self-Supervised Inference in State-Space Models David Ruhe · Patrick Forré |
|
|
Spotlight
|
Tue 2:30 |
On the approximation properties of recurrent encoder-decoder architectures Zhong Li · Haotian Jiang · Qianxiao Li |
|
|
Spotlight
|
Wed 2:30 |
Spike-inspired rank coding for fast and accurate recurrent neural networks Alan Jeffares · Qinghai Guo · Pontus Stenetorp · Timoleon Moraitis |
|
|
Poster
|
Wed 2:30 |
Visual hyperacuity with moving sensor and recurrent neural computations Alexander Rivkind · Or Ram · Eldad Assa · Michael Kreiserman · Ehud Ahissar |
|
|
Poster
|
Tue 2:30 |
On the approximation properties of recurrent encoder-decoder architectures Zhong Li · Haotian Jiang · Qianxiao Li |
|
|
Poster
|
Wed 2:30 |
Spike-inspired rank coding for fast and accurate recurrent neural networks Alan Jeffares · Qinghai Guo · Pontus Stenetorp · Timoleon Moraitis |
|
|
Poster
|
Wed 10:30 |
Hidden Parameter Recurrent State Space Models For Changing Dynamics Scenarios Vaisakh Shaj · Dieter Büchler · Rohit Sonker · Philipp Becker · Gerhard Neumann |
|
|
Poster
|
Wed 18:30 |
Neural Networks as Kernel Learners: The Silent Alignment Effect Alexander Atanasov · Blake Bordelon · Cengiz Pehlevan |
|
|
Poster
|
Wed 2:30 |
A Johnson-Lindenstrauss Framework for Randomly Initialized CNNs Ido Nachum · Jan Hązła · Michael Gastpar · Anatoly Khina |
|
|
Poster
|
Wed 10:30 |
Space-Time Graph Neural Networks Samar Hadou · Charilaos Kanatsoulis · Alejandro Ribeiro |
|
|
Oral
|
Tue 1:00 |
Understanding over-squashing and bottlenecks on graphs via curvature Jake Topping · Francesco Di Giovanni · Benjamin Chamberlain · Xiaowen Dong · Michael Bronstein |
|
|
Poster
|
Wed 2:30 |
Implicit Bias of Adversarial Training for Deep Neural Networks Bochen Lyu · Zhanxing Zhu |