Poster

Wed 9:00

A Direct Approximation of AIXI Using Logical State Abstractions
Samuel Yang-Zhao · Tianyu Wang · Kee Siong Ng

Workshop

How Small Amount of Data Sharing Benefits Higher-Order Distributed Optimization and Learning
Mingxi Zhu · Yinyu Ye

Workshop

Fishy: Layerwise Fisher Approximation for Higher-order Neural Network Optimization
Abel Peirson · Ehsan Amid · Yatong Chen · Vladimir Feinberg · Manfred Warmuth · Rohan Anil

Poster

Tue 14:00

GENIE: Higher-Order Denoising Diffusion Solvers
Tim Dockhorn · Arash Vahdat · Karsten Kreis

Workshop

LSGANs with Gradient Regularizers are Smooth High-dimensional Interpolators
Siddarth Asokan · Chandra Seelamantula

Workshop

Higher-order mutual information reveals synergistic sub-networks for multi-neuron importance
Kenzo Clauw · Daniele Marinazzo · Sebastiano Stramaglia

Poster

Thu 14:00

Scale-invariant Learning by Physics Inversion
Philipp Holl · Vladlen Koltun · Nils Thuerey

Workshop

Fri 6:15

Order up! The Benefits of Higher-Order Optimization in Machine Learning
Albert Berahas · Jelena Diakonikolas · Jarad Forristal · Brandon Reese · Martin Takac · Yan Xu

Poster

Wed 14:00

Precise Learning Curves and Higher-Order Scalings for Dot-product Kernel Regression
Lechao Xiao · Hong Hu · Theodor Misiakiewicz · Yue Lu · Jeffrey Pennington

Workshop

Beyond Central Limit Theorem for Higher Order Inference in Batched Bandits
Yechan Park · Ruohan Zhan · Nakahiro Yoshida

Poster

Wed 14:00

MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields
Ilyes Batatia · David P Kovacs · Gregor Simm · Christoph Ortner · Gabor Csanyi

Workshop

Incorporating Higher Order Constraints for Training Surrogate Models to Solve Inverse Problems
Jihui Jin · Nick Durofchalk · Richard Touret · Karim Sabra · Justin Romberg