NeurIPS 2023 Conference Submissions

Decentralized Matrix Sensing: Statistical Guarantees and Fast Convergence
Marie Maros, Gesualdo Scutari
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Hyperbolic Space with Hierarchical Margin Boosts Fine-Grained Learning from Coarse Labels
ShuLin Xu, Yifan Sun, Faen Zhang, Anqi Xu, Xiu-Shen Wei, Yi Yang
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Generalized Information-theoretic Multi-view Clustering
Weitian Huang, Sirui Yang, Hongmin Cai
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
A Definition of Continual Reinforcement Learning
David Abel, Andre Barreto, Benjamin Van Roy, Doina Precup, Hado van Hasselt, Satinder Singh
- Published: 21 Sept 2023, Last Modified: 08 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
LinkerNet: Fragment Poses and Linker Co-Design with 3D Equivariant Diffusion
Jiaqi Guan, Xingang Peng, PeiQi Jiang, Yunan Luo, Jian Peng, Jianzhu Ma
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 spotlight
- Readers: Everyone
DreamSparse: Escaping from Plato’s Cave with 2D Diffusion Model Given Sparse Views
Paul Yoo, Jiaxian Guo, Yutaka Matsuo, Shixiang Shane Gu
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Few-shot Generation via Recalling Brain-Inspired Episodic-Semantic Memory
Zhibin Duan, Lv Zhiyi, Chaojie Wang, Bo Chen, Bo An, Mingyuan Zhou
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Operator Learning with Neural Fields: Tackling PDEs on General Geometries
Louis Serrano, Lise Le Boudec, Armand Kassaï Koupaï, Thomas X Wang, Yuan Yin, Jean-Noël Vittaut, patrick gallinari
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Latent Space Translation via Semantic Alignment
Valentino Maiorca, Luca Moschella, Antonio Norelli, Marco Fumero, Francesco Locatello, Emanuele Rodolà
- Published: 21 Sept 2023, Last Modified: 05 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
NAR-Former V2: Rethinking Transformer for Universal Neural Network Representation Learning
Yun Yi, Haokui Zhang, Rong Xiao, Nannan Wang, Xiaoyu Wang
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Graph Contrastive Learning with Stable and Scalable Spectral Encoding
Deyu Bo, Yuan Fang, Yang Liu, Chuan Shi
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Clifford Group Equivariant Neural Networks
David Ruhe, Johannes Brandstetter, Patrick Forré
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 oral
- Readers: Everyone
Towards the Universal Learning Principle for Graph Neural Networks
Foping Chen, Junhong Zhang, Guangfei Liang, Richard Yi Da Xu, Zhihui Lai
- 11 May 2023 (modified: 12 Dec 2023)
- Submitted to NeurIPS 2023
- Readers: Everyone
NuTrea: Neural Tree Search for Context-guided Multi-hop KGQA
Hyeong Kyu Choi, Seunghun Lee, Jaewon Chu, Hyunwoo J. Kim
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Exploring the Promise and Limits of Real-Time Recurrent Learning
Kazuki Irie, Anand Gopalakrishnan, Jürgen Schmidhuber
- 11 May 2023 (modified: 12 Dec 2023)
- Submitted to NeurIPS 2023
- Readers: Everyone
Object-centric Learning with Cyclic Walks between Parts and Whole
Ziyu Wang, Mike Zheng Shou, Mengmi Zhang
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
On Representation of Natural Image Patches
Cheng Guo
- 11 May 2023 (modified: 12 Dec 2023)
- Submitted to NeurIPS 2023
- Readers: Everyone
Circuit as Set of Points
Jialv Zou, Xinggang Wang, JiaHao Guo, Wenyu Liu, Qian Zhang, Chang Huang
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Energy Guided Diffusion for Generating Neurally Exciting Images
Paweł A. Pierzchlewicz, Konstantin Friedrich Willeke, Arne Nix, Pavithra Elumalai, Kelli Restivo, Tori Shinn, Cate Nealley, Gabrielle Rodriguez, Saumil Patel, Katrin Franke, Andreas S. Tolias, Fabian H. Sinz
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Fast Bellman Updates for Wasserstein Distributionally Robust MDPs
Zhuodong Yu, Ling Dai, Shaohang Xu, Siyang Gao, Chin Pang Ho
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
IBA: Towards Irreversible Backdoor Attacks in Federated Learning
Dung Thuy Nguyen, Tuan Minh Nguyen, Anh Tuan Tran, Khoa D Doan, KOK SENG WONG
- Published: 21 Sept 2023, Last Modified: 17 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
SAME: Uncovering GNN Black Box with Structure-aware Shapley-based Multipiece Explanations
Ziyuan Ye, Rihan Huang, Qilin Wu, Quanying Liu
- Published: 21 Sept 2023, Last Modified: 19 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test Data
Boris van Breugel, Nabeel Seedat, Fergus Imrie, Mihaela van der Schaar
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Meta-learning families of plasticity rules in recurrent spiking networks using simulation-based inference
Basile Confavreux, Poornima Ramesh, Pedro J. Goncalves, Jakob H. Macke, Tim P. Vogels
- Published: 21 Sept 2023, Last Modified: 11 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Certification of Distributional Individual Fairness
Matthew Robert Wicker, Vihari Piratla, Adrian Weller
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone