NeurIPS 2024 Conference Submissions

Space-Time Continuous PDE Forecasting using Equivariant Neural Fields
David M Knigge, David Wessels, Riccardo Valperga, Samuele Papa, Jan-Jakob Sonke, Erik J Bekkers, Stratis Gavves
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Identify Then Recommend: Towards Unsupervised Group Recommendation
Yue Liu, Shihao Zhu, Tianyuan Yang, Jian Ma, Wenliang Zhong
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Fast yet Safe: Early-Exiting with Risk Control
Metod Jazbec, Alexander Timans, Tin Hadži Veljković, Kaspar Sakmann, Dan Zhang, Christian A. Naesseth, Eric Nalisnick
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Contextual Decision-Making with Knapsacks Beyond the Worst Case
Zhaohua Chen, Rui Ai, Mingwei Yang, Yuqi Pan, Chang Wang, Xiaotie Deng
- Published: 25 Sept 2024, Last Modified: 19 Dec 2024
- NeurIPS 2024 poster
- Readers: Everyone
Segment, Shuffle, and Stitch: A Simple Layer for Improving Time-Series Representations
Shivam Grover, Amin Jalali, Ali Etemad
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Towards the Transferability of Rewards Recovered via Regularized Inverse Reinforcement Learning
Andreas Schlaginhaufen, Maryam Kamgarpour
- Published: 25 Sept 2024, Last Modified: 16 Jan 2025
- NeurIPS 2024 poster
- Readers: Everyone
QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs
Saleh Ashkboos, Amirkeivan Mohtashami, Maximilian L. Croci, Bo Li, Pashmina Cameron, Martin Jaggi, Dan Alistarh, Torsten Hoefler, James Hensman
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Adaptive and Optimal Second-order Optimistic Methods for Minimax Optimization
Ruichen Jiang, Ali Kavis, Qiujiang Jin, sujay sanghavi, Aryan Mokhtari
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors
Shenghe Zheng, Hongzhi Wang, Xianglong Liu
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Conditional Outcome Equivalence: A Quantile Alternative to CATE
Josh Givens, Henry Reeve, Song Liu, Katarzyna Reluga
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
On the Computational Landscape of Replicable Learning
Alkis Kalavasis, Amin Karbasi, Grigoris Velegkas, Felix Zhou
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Efficiently Parameterized Neural Metriplectic Systems
Anthony Gruber, Kookjin Lee, Haksoo Lim, Noseong Park, Nathaniel Trask
- 13 May 2024 (modified: 06 Nov 2024)
- Submitted to NeurIPS 2024
- Readers: Everyone
Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks
Arjun Subramonian, Jian Kang, Yizhou Sun
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
$\textit{NeuroPath}$: A Neural Pathway Transformer for Joining the Dots of Human Connectomes
Ziquan Wei, Tingting Dan, Jiaqi Ding, Guorong Wu
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Supra-Laplacian Encoding for Transformer on Dynamic Graphs
Yannis Karmim, Marc Lafon, Raphael Fournier-S'niehotta, Nicolas THOME
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Conformal Alignment: Knowing When to Trust Foundation Models with Guarantees
Yu Gui, Ying Jin, Zhimei Ren
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
SPARKLE: A Unified Single-Loop Primal-Dual Framework for Decentralized Bilevel Optimization
Shuchen Zhu, Boao Kong, Songtao Lu, Xinmeng Huang, Kun Yuan
- Published: 25 Sept 2024, Last Modified: 24 Dec 2024
- NeurIPS 2024 poster
- Readers: Everyone
Approximating mutual information of high-dimensional variables using learned representations
Gokul Gowri, Xiaokang Lun, Allon M Klein, Peng Yin
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 spotlight
- Readers: Everyone
Enriching Disentanglement: From Logical Definitions to Quantitative Metrics
Yivan Zhang, Masashi Sugiyama
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Exact, Tractable Gauss-Newton Optimization in Deep Reversible Architectures Reveal Poor Generalization
Davide Buffelli, Jamie McGowan, Wangkun Xu, Alexandru Cioba, Da-shan Shiu, Guillaume Hennequin, Alberto Bernacchia
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
FACT or Fiction: Can Truthful Mechanisms Eliminate Federated Free Riding?
Marco Bornstein, Amrit Bedi, Abdirisak Mohamed, Furong Huang
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Scaling Proprioceptive-Visual Learning with Heterogeneous Pre-trained Transformers
Lirui Wang, Xinlei Chen, Jialiang Zhao, Kaiming He
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 spotlight
- Readers: Everyone
Generative Adversarial Model-Based Optimization via Source Critic Regularization
Michael S Yao, Yimeng Zeng, Hamsa Bastani, Jacob R. Gardner, James Gee, Osbert Bastani
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Generative Forests
Richard Nock, Mathieu Guillame-Bert
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
FedGMark: Certifiably Robust Watermarking for Federated Graph Learning
Yuxin Yang, Qiang Li, Yuan Hong, Binghui Wang
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone