Modality-Agnostic Variational Compression of Implicit Neural Representations

23 January 2023

Jonathan Richard Schwarz

Papers citing "Modality-Agnostic Variational Compression of Implicit Neural Representations"

23 / 23 papers shown

Title
ARC: Anchored Representation Clouds for High-Resolution INR Classification Joost Luijmes Alexander Gielisse Roman Knyazhitskiy J. C. V. Gemert 47 1 0 19 Mar 2025
UAR-NVC: A Unified AutoRegressive Framework for Memory-Efficient Neural Video Compression J. Wang X. Zhang Gai Zhang Jun Zhu Lv Tang Li Zhang 47 1 0 04 Mar 2025
Efficient Compression of Sparse Accelerator Data Using Implicit Neural Representations and Importance Sampling Xihaier Luo Samuel Lurvey Yi Huang Yihui Ren Jin-zhi Huang Byung-Jun Yoon 63 0 0 02 Dec 2024
Good, Cheap, and Fast: Overfitted Image Compression with Wasserstein Distortion Jona Ballé Luca Versari Emilien Dupont Hyunjik Kim Matthias Bauer DiffM 88 1 0 30 Nov 2024
Fast Training of Sinusoidal Neural Fields via Scaling Initialization Taesun Yeom Sangyoon Lee Jaeho Lee 48 2 0 07 Oct 2024
Implicit Neural Representations for Simultaneous Reduction and Continuous Reconstruction of Multi-Altitude Climate Data Alif Bin Abdul Qayyum Xihaier Luo Nathan M. Urban Xiaoning Qian Byung-Jun Yoon AI4Cl 13 0 0 25 Sep 2024
LEIA: Latent View-invariant Embeddings for Implicit 3D Articulation Archana Swaminathan Anubhav Gupta Kamal Gupta Shishira R. Maiya Vatsal Agarwal Abhinav Shrivastava 32 4 0 10 Sep 2024
Latent-INR: A Flexible Framework for Implicit Representations of Videos with Discriminative Semantics Shishira R. Maiya Anubhav Gupta M. Gwilliam Max Ehrlich Abhinav Shrivastava 33 0 1 05 Aug 2024
Accelerating Relative Entropy Coding with Space Partitioning Jiajun He Gergely Flamich José Miguel Hernández-Lobato 21 1 0 20 May 2024
Nonparametric Teaching of Implicit Neural Representations Chen Zhang Steven Tin Sui Luo Jason Chun Lok Li Yik-Chung Wu Ngai Wong 31 2 0 17 May 2024
Unleashing the Power of Meta-tuning for Few-shot Generalization Through Sparse Interpolated Experts Shengzhuang Chen Jihoon Tack Yunqiao Yang Yee Whye Teh Jonathan Richard Schwarz Ying Wei MoE 22 1 0 13 Mar 2024
Online Adaptation of Language Models with a Memory of Amortized Contexts Jihoon Tack Jaehyung Kim Eric Mitchell Jinwoo Shin Yee Whye Teh Jonathan Richard Schwarz KELM 38 18 0 07 Mar 2024
Hybrid Neural Representations for Spherical Data Hyomin Kim Yunhui Jang Jaeho Lee Sungsoo Ahn 27 3 0 05 Feb 2024
C3: High-performance and low-complexity neural compression from a single image or video Hyunjik Kim Matthias Bauer Lucas Theis Jonathan Richard Schwarz Emilien Dupont VGen 20 23 0 05 Dec 2023
In Search of a Data Transformation That Accelerates Neural Field Training Junwon Seo Sangyoon Lee Kwang In Kim Jaeho Lee 22 3 0 28 Nov 2023
Improved Positional Encoding for Implicit Neural Representation based Compact Data Representation B. Damodaran Francois Schnitzler Anne Lambert Pierre Hellier 14 1 0 10 Nov 2023
RECOMBINER: Robust and Enhanced Compression with Bayesian Implicit Neural Representations Carlos Rombaldo Junior Ingolf Becker Zongyu Guo Shane Johnson 4 12 0 29 Sep 2023
Compression with Bayesian Implicit Neural Representations Zongyu Guo Gergely Flamich Jiajun He Zhibo Chen José Miguel Hernández-Lobato 16 25 0 30 May 2023
Learning Large-scale Neural Fields via Context Pruned Meta-Learning Jihoon Tack Subin Kim Sihyun Yu Jaeho Lee Jinwoo Shin Jonathan Richard Schwarz 10 9 0 01 Feb 2023
Compressing multidimensional weather and climate data into neural networks La-mei Huang Torsten Hoefler AI4CE 30 30 0 22 Oct 2022
Meta-Learning Sparse Compression Networks Jonathan Richard Schwarz Yee Whye Teh 49 25 0 18 May 2022
Powerpropagation: A sparsity inducing weight reparameterisation Jonathan Richard Schwarz Siddhant M. Jayakumar Razvan Pascanu P. Latham Yee Whye Teh 87 54 0 01 Oct 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,568 0 09 Mar 2017