NeurIPS 2023 Conference Submissions

Causal Interpretation of Self-Attention in Pre-Trained Transformers
Raanan Yehezkel Rohekar, Yaniv Gurwicz, Shami Nisimov
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Credal Marginal MAP
Radu Marinescu, Debarun Bhattacharjya, Junkyu Lee, Fabio Cozman, Alexander G. Gray
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Deep Recurrent Optimal Stopping
NIRANJAN DAMERA VENKATA, Chiranjib Bhattacharyya
- Published: 21 Sept 2023, Last Modified: 16 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Stochastic Approximation Algorithms for Systems of Interacting Particles
Mohammad Reza Karimi Jaghargh, Ya-Ping Hsieh, Andreas Krause
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Efficient Batched Algorithm for Contextual Linear Bandits with Large Action Space via Soft Elimination
Osama Hanna, Lin Yang, Christina Fragouli
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Structured Voronoi Sampling
Afra Amini, Li Du, Ryan Cotterell
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Provably Bounding Neural Network Preimages
Suhas Kotha, Christopher Brix, J Zico Kolter, Krishnamurthy Dj Dvijotham, Huan Zhang
- Published: 21 Sept 2023, Last Modified: 11 Jan 2024
- NeurIPS 2023 spotlight
- Readers: Everyone
LD2: Scalable Heterophilous Graph Neural Network with Decoupled Embeddings
Ningyi Liao, Siqiang Luo, Xiang Li, Jieming Shi
- Published: 21 Sept 2023, Last Modified: 16 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Feature learning via mean-field Langevin dynamics: classifying sparse parities and beyond
Taiji Suzuki, Denny Wu, Kazusato Oko, Atsushi Nitanda
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
MMD-Fuse: Learning and Combining Kernels for Two-Sample Testing Without Data Splitting
Felix Biggs, Antonin Schrab, Arthur Gretton
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 spotlight
- Readers: Everyone
Convergence of mean-field Langevin dynamics: time-space discretization, stochastic gradient, and variance reduction
Taiji Suzuki, Denny Wu, Atsushi Nitanda
- Published: 21 Sept 2023, Last Modified: 21 Dec 2023
- NeurIPS 2023 spotlight
- Readers: Everyone
On the Last-iterate Convergence in Time-varying Zero-sum Games: Extra Gradient Succeeds where Optimism Fails
Yi Feng, Hu Fu, Qun Hu, Ping Li, Ioannis Panageas, bo peng, Xiao Wang
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting
Salva Rühling Cachay, Bo Zhao, Hailey Joren, Rose Yu
- Published: 21 Sept 2023, Last Modified: 13 May 2025
- NeurIPS 2023 poster
- Readers: Everyone
Unified Segment-to-Segment Framework for Simultaneous Sequence Generation
Shaolei Zhang, Yang Feng
- Published: 21 Sept 2023, Last Modified: 20 Dec 2023
- NeurIPS 2023 poster
- Readers: Everyone
Functional-Group-Based Diffusion for Pocket-Specific Molecule Generation and Elaboration
Haitao Lin, Yufei Huang, Odin Zhang, Yunfan Liu, Lirong Wu, Siyuan Li, Zhiyuan Chen, Stan Z. Li
- Published: 21 Sept 2023, Last Modified: 15 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion Models
Geon Yeong Park, Jeongsol Kim, Beomsu Kim, Sang Wan Lee, Jong Chul Ye
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Hybrid Search for Efficient Planning with Completeness Guarantees
Kalle Kujanpää, Joni Pajarinen, Alexander Ilin
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
SLaM: Student-Label Mixing for Distillation with Unlabeled Examples
Vasilis Kontonis, Fotis Iliopoulos, Khoa Trinh, Cenk Baykal, Gaurav Menghani, Erik Vee
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Towards Robust and Expressive Whole-body Human Pose and Shape Estimation
Hui En Pang, Zhongang Cai, Lei Yang, Qingyi Tao, Zhonghua Wu, Tianwei Zhang, Ziwei Liu
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Correlative Information Maximization: A Biologically Plausible Approach to Supervised Deep Neural Networks without Weight Symmetry
Bariscan Bozkurt, Cengiz Pehlevan, Alper Tunga Erdogan
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Towards Faithful Sign Language Translation
Yuecong Min, Xilin CHEN
- 11 May 2023 (modified: 12 Dec 2023)
- Submitted to NeurIPS 2023
- Readers: Everyone
Fast Approximation of Similarity Graphs with Kernel Density Estimation
Peter Macgregor, He Sun
- Published: 21 Sept 2023, Last Modified: 08 Jan 2024
- NeurIPS 2023 spotlight
- Readers: Everyone
AI for Interpretable Chemistry: Predicting Radical Mechanistic Pathways via Contrastive Learning
Mohammadamin Tavakoli, Pierre Baldi, Ann Marie Carlton, Yinting Chiu, Alexander Shmakov, David Van Vranken
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
A Unified Framework for U-Net Design and Analysis
Christopher Williams, Fabian Falck, George Deligiannidis, Christopher C. Holmes, Arnaud Doucet, Saifuddin Syed
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Policy Gradient for Rectangular Robust Markov Decision Processes
Navdeep Kumar, Esther Derman, Matthieu Geist, Kfir Yehuda Levy, Shie Mannor
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone