|
Poster
|
Wed 11:00
|
Latent Diffusion for Neural Spiking Data
Jaivardhan Kapoor · Auguste Schulz · Julius Vetter · Felix Pei · Richard Gao · Jakob H Macke
|
|
|
Poster
|
Fri 16:30
|
Understanding Scaling Laws with Statistical and Approximation Theory for Transformer Neural Networks on Intrinsically Low-dimensional Data
Alexander Havrilla · Wenjing Liao
|
|
|
Poster
|
Thu 11:00
|
Simulation-Free Training of Neural ODEs on Paired Data
Semin Kim · Jaehoon Yoo · Jinwoo Kim · Yeonwoo Cha · Saehoon Kim · Seunghoon Hong
|
|
|
Workshop
|
|
On the Reconstruction of Training Data from Group Invariant Networks
Ran Elbaz · Gilad Yehudai · Meirav Galun · Haggai Maron
|
|
|
Poster
|
Fri 11:00
|
FNP: Fourier Neural Processes for Arbitrary-Resolution Data Assimilation
Kun Chen · Peng Ye · Hao Chen · kang chen · Tao Han · Wanli Ouyang · Tao Chen · LEI BAI
|
|
|
Affinity Event
|
|
Graph Neural Network-Enhanced Multi-Task Learning for Menstrual Disorder Prediction Using Multi-Omics Data
Comfort Adesina
|
|
|
Workshop
|
|
Relational Data Generation with Graph Neural Networks and Latent Diffusion Models
Valter Hudovernik
|
|
|
Workshop
|
|
Efficient Compression of Sparse Accelerator Data Using Implicit Neural Representations and Importance Sampling
Xihaier Luo · Samuel Lurvey · Yi Huang · Yihui Ren · Jin Huang · Byung-Jun Yoon
|
|
|
Workshop
|
|
Neural Operators as Fast Surrogate Models for the Transmission Loss of Parameterized Sonic Crystals
Jakob Wagner · Samuel Burbulla · Miguel de Benito Delgado · Johannes Schmid
|
|
|
Workshop
|
|
Learning SDE Solutions with Neural Stochastic Flows
Naoki Kiyohara · Edward Johns · Yingzhen Li
|
|
|
Workshop
|
|
Learning from Less: Bayesian Neural Networks for Optimization Proxy using Limited Labeled Data
Parikshit Pareek · Kaarthik Sundar · Deep Deka · Sidhant Misra
|
|
|
Poster
|
Fri 11:00
|
Pruning neural network models for gene regulatory dynamics using data and domain knowledge
Intekhab Hossain · Jonas Fischer · Rebekka Burkholz · John Quackenbush
|
|
