Learning a Diffusion Prior for NeRFs: Guandao Yang, Abhijit Kundu, Leonidas Guibas, Jonathan T. Barron, Ben Poole

Diffusion Probabilistic Fields: Peiye Zhuang, Samira Abnar, Jiatao Gu, Alex Schwing, Joshua M. Susskind, Miguel Ángel Bautista

Spatial Functa: Scaling Functa to ImageNet Classification and Generation: Matthias Bauer, Emilien Dupont, Andrew Brock, Dan Rosenbaum, Jonathan Richard Schwarz, Hyunjik Kim

Efficient Meta-Learning via Error-based Context Pruning for Implicit Neural Representations: Jihoon Tack, Subin Kim, Sihyun Yu, Jaeho Lee, Jinwoo Shin, Jonathan Richard Schwarz

Modality-Agnostic Variational Compression of Implicit Neural Representations: Jonathan Richard Schwarz, Jihoon Tack, Yee Whye Teh, Jaeho Lee, Jinwoo Shin

Improving Fourier Neural Operators: Neural Architecture and Training Techniques: Alasdair Tran, Alexander Patrick Mathews, Lexing Xie, Cheng Soon Ong

Continually-Learned CLIP-Fields: Building Weakly Supervised Semantic Fields By Continual Learning: Yuming Meng, Zike Yan, Hongbin Zha

Differentiable Rendering with Reparameterized Volume Sampling: Nikita Morozov, Denis Rakitin, Oleg Desheulin, Dmitry P. Vetrov, Kirill Struminsky

Calibration of Option Pricing Models with Neural Fields Approximation: Yongxin Yang, Timothy Hospedales

Revisiting Implicit Neural Representations in Low-Level Vision: Wentian Xu, Jianbo Jiao

Neural Time Fields for Physics-Informed Motion Planning: Ruiqi Ni, Ahmed H Qureshi

Operator Learning on Free-form Geometries: Louis Serrano, Jean-Noël Vittaut, patrick gallinari

Discretization Invariant Learning on Neural Fields: Clinton Wang, Polina Golland

Continuous PDE Dynamics Forecasting with Implicit Neural Representations: Yuan Yin, Matthieu Kirchmeyer, Jean-Yves Franceschi, Alain Rakotomamonjy, Patrick Gallinari

Single-view Neural Radiance Fields with Depth Teacher: Yurui Chen, Chun Gu, Feihu Zhang, Li Zhang

TT-NF: Tensor-Train Neural Fields: Anton Obukhov, Mikhail Usvyatsov, Christos Sakaridis, Konrad Schindler, Luc Van Gool

Simulating Physics with Implicit Neural Spatial Representations: Honglin Chen, Rundi Wu, Eitan Grinspun, Changxi Zheng, Peter Yichen Chen

Deep Learning on Implicit Neural Representations of Shapes: Luca De Luigi, Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele Salti, Luigi di Stefano

SceneDreamer: Unbounded 3D Scene Generation from 2D Image Collections: Zhaoxi Chen, Guangcong Wang, Ziwei Liu

Compressing multidimensional weather and climate data into neural networks: Langwen Huang, Torsten Hoefler

CROM: Continuous Reduced-Order Modeling of PDEs Using Implicit Neural Representations: Peter Yichen Chen, Jinxu Xiang, Dong Heon Cho, Yue Chang, G A Pershing, Henrique Teles Maia, Maurizio M Chiaramonte, Kevin Thomas Carlberg, Eitan Grinspun

NeRF Registration, Blending and Fusion: Jiading Fang, Shengjie Lin, Igor Vasiljevic, Vitor Campagnolo Guizilini, Rares Andrei Ambrus, Adrien Gaidon, Greg Shakhnarovich, Matthew Walter

Neural Fields for Latent Force Field Discovery in Interacting Systems: Miltiadis Kofinas, Erik J Bekkers, Naveen Shankar Nagaraja, Efstratios Gavves