NeurIPS 2023 Conference Submissions

Delegated Classification
Eden Saig, Inbal Talgam-Cohen, Nir Rosenfeld
- Published: 21 Sept 2023, Last Modified: 14 Jan 2024
- NeurIPS 2023 spotlight
- Readers: Everyone
Comparing Causal Frameworks: Potential Outcomes, Structural Models, Graphs, and Abstractions
Duligur Ibeling, Thomas Icard
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Learning Invariant Representations of Graph Neural Networks via Cluster Generalization
Donglin Xia, Xiao Wang, Nian Liu, Chuan Shi
- Published: 21 Sept 2023, Last Modified: 26 Dec 2023
- NeurIPS 2023 poster
- Readers: Everyone
Computational Complexity of Learning Neural Networks: Smoothness and Degeneracy
Amit Daniely, Nathan Srebro, Gal Vardi
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Reject option models comprising out-of-distribution detection
Vojtech Franc, Daniel Prusa, Jakub Paplham
- 11 May 2023 (modified: 12 Dec 2023)
- Submitted to NeurIPS 2023
- Readers: Everyone
Zero-sum Polymatrix Markov Games: Equilibrium Collapse and Efficient Computation of Nash Equilibria
Fivos Kalogiannis, Ioannis Panageas
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
SoTTA: Robust Test-Time Adaptation on Noisy Data Streams
Taesik Gong, Yewon Kim, Taeckyung Lee, Sorn Chottananurak, Sung-Ju Lee
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Limits, approximation and size transferability for GNNs on sparse graphs via graphops
Thien Le, Stefanie Jegelka
- Published: 21 Sept 2023, Last Modified: 16 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Reducing Shape-Radiance Ambiguity in Radiance Fields with a Closed-Form Color Estimation Method
Qihang Fang, Yafei Song, Keqiang Li, Liefeng Bo
- Published: 21 Sept 2023, Last Modified: 20 Dec 2023
- NeurIPS 2023 poster
- Readers: Everyone
Most Neural Networks Are Almost Learnable
Amit Daniely, Nathan Srebro, Gal Vardi
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Learning Interpretable Low-dimensional Representation via Physical Symmetry
Xuanjie Liu, Daniel Chin, Yichen Huang, Gus Xia
- Published: 21 Sept 2023, Last Modified: 15 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Stabilized Neural Differential Equations for Learning Dynamics with Explicit Constraints
Alistair White, Niki Kilbertus, Maximilian Gelbrecht, Niklas Boers
- Published: 21 Sept 2023, Last Modified: 15 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Learning from Both Structural and Textual Knowledge for Inductive Knowledge Graph Completion
Kunxun Qi, Jianfeng Du, Hai Wan
- Published: 21 Sept 2023, Last Modified: 20 Dec 2023
- NeurIPS 2023 poster
- Readers: Everyone
3D Indoor Instance Segmentation in an Open-World
Mohamed El Amine Boudjoghra, Salwa K. Al Khatib, Jean Lahoud, Hisham Cholakkal, Rao Muhammad Anwer, Salman Khan, Fahad Khan
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Facing Off World Model Backbones: RNNs, Transformers, and S4
Fei Deng, Junyeong Park, Sungjin Ahn
- Published: 21 Sept 2023, Last Modified: 19 Dec 2023
- NeurIPS 2023 poster
- Readers: Everyone
Homotopy-based training of NeuralODEs for accurate dynamics discovery
Joon-Hyuk Ko, Hankyul Koh, Nojun Park, Wonho Jhe
- Published: 21 Sept 2023, Last Modified: 15 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Combinatorial Optimization with Policy Adaptation using Latent Space Search
Felix Chalumeau, Shikha Surana, Clément Bonnet, Nathan Grinsztajn, Arnu Pretorius, Alexandre Laterre, Thomas D Barrett
- Published: 21 Sept 2023, Last Modified: 15 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Quantum Bayesian Optimization
Zhongxiang Dai, Gregory Kang Ruey Lau, Arun Verma, Yao Shu, Bryan Kian Hsiang Low, Patrick Jaillet
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Assumption violations in causal discovery and the robustness of score matching
Francesco Montagna, Atalanti A. Mastakouri, Elias Eulig, Nicoletta Noceti, Lorenzo Rosasco, Dominik Janzing, Bryon Aragam, Francesco Locatello
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Minimum Description Length and Generalization Guarantees for Representation Learning
Milad Sefidgaran, Abdellatif Zaidi, Piotr Krasnowski
- Published: 21 Sept 2023, Last Modified: 02 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Graph Convolutional Kernel Machine versus Graph Convolutional Networks
Zhihao Wu, Zhao Zhang, Jicong Fan
- Published: 21 Sept 2023, Last Modified: 14 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Multi-scale Diffusion Denoised Smoothing
Jongheon Jeong, Jinwoo Shin
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Multi-resolution Spectral Coherence for Graph Generation with Score-based Diffusion
Hyuna Cho, Minjae Jeong, Sooyeon Jeon, Sungsoo Ahn, Won Hwa Kim
- Published: 21 Sept 2023, Last Modified: 20 Dec 2023
- NeurIPS 2023 poster
- Readers: Everyone
Batch Bayesian Optimization For Replicable Experimental Design
Zhongxiang Dai, Quoc Phong Nguyen, Sebastian Shenghong Tay, Daisuke Urano, Richalynn Leong, Bryan Kian Hsiang Low, Patrick Jaillet
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
NEO-KD: Knowledge-Distillation-Based Adversarial Training for Robust Multi-Exit Neural Networks
Seokil Ham, Jungwuk Park, Dong-Jun Han, Jaekyun Moon
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone