NeurIPS 2023 Conference Submissions

Information Maximizing Curriculum: A Curriculum-Based Approach for Learning Versatile Skills
Denis Blessing, Onur Celik, Xiaogang Jia, Moritz Reuss, Maximilian Xiling Li, Rudolf Lioutikov, Gerhard Neumann
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Accelerating Exploration with Unlabeled Prior Data
Qiyang Li, Jason Zhang, Dibya Ghosh, Amy Zhang, Sergey Levine
- Published: 21 Sept 2023, Last Modified: 06 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Accessing Higher Dimensions for Unsupervised Word Translation
Sida Wang
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
D-CIPHER: Discovery of Closed-form Partial Differential Equations
Krzysztof Kacprzyk, Zhaozhi Qian, Mihaela van der Schaar
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery
Yuxin Wen, Neel Jain, John Kirchenbauer, Micah Goldblum, Jonas Geiping, Tom Goldstein
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Labeling Neural Representations with Inverse Recognition
Kirill Bykov, Laura Kopf, Shinichi Nakajima, Marius Kloft, Marina MC Höhne
- Published: 21 Sept 2023, Last Modified: 15 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Handling Data Heterogeneity via Architectural Design for Federated Visual Recognition
Sara Pieri, Jose Renato Restom, Samuel Horváth, Hisham Cholakkal
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
DiffAttack: Evasion Attacks Against Diffusion-Based Adversarial Purification
Mintong Kang, Dawn Song, Bo Li
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
On the estimation of persistence intensity functions and linear representations of persistence diagrams
Weichen Wu, Jisu Kim, Alessandro Rinaldo
- 11 May 2023 (modified: 12 Dec 2023)
- Submitted to NeurIPS 2023
- Readers: Everyone
Reversible and irreversible bracket-based dynamics for deep graph neural networks
Anthony Gruber, Kookjin Lee, Nathaniel Trask
- Published: 21 Sept 2023, Last Modified: 20 Dec 2023
- NeurIPS 2023 poster
- Readers: Everyone
UP-NeRF: Unconstrained Pose Prior-Free Neural Radiance Field
Injae Kim, Minhyuk Choi, Hyunwoo J. Kim
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Stable Vectorization of Multiparameter Persistent Homology using Signed Barcodes as Measures
David Loiseaux, Luis Scoccola, Mathieu Carrière, Magnus Bakke Botnan, Steve Oudot
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Training on Foveated Images Improves Robustness to Adversarial Attacks
Muhammad A Shah, Aqsa Kashaf, Bhiksha Raj
- Published: 21 Sept 2023, Last Modified: 15 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Towards Combinatorial Generalization for Catalysts: A Kohn-Sham Charge-Density Approach
Phil Pope, David Jacobs
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Wasserstein Quantum Monte Carlo: A Novel Approach for Solving the Quantum Many-Body Schrödinger Equation
Kirill Neklyudov, Jannes Nys, Luca Thiede, Juan Felipe Carrasquilla Alvarez, qiang liu, Max Welling, Alireza Makhzani
- Published: 21 Sept 2023, Last Modified: 16 Jan 2024
- NeurIPS 2023 spotlight
- Readers: Everyone
A Theory of Link Prediction via Relational Weisfeiler-Leman on Knowledge Graphs
Xingyue Huang, Miguel Romero Orth, Ismail Ilkan Ceylan, Pablo Barcelo
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Creating a Public Repository for Joining Private Data
James Cook, Milind Shyani, Nina Mishra
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Can semi-supervised learning use all the data effectively? A lower bound perspective
Alexandru Tifrea, Gizem Yüce, Amartya Sanyal, Fanny Yang
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 spotlight
- Readers: Everyone
Learning Reliable Logical Rules with SATNet
Zhaoyu Li, Jinpei Guo, Yuhe Jiang, Xujie Si
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
A Unified Approach for Maximizing Continuous DR-submodular Functions
Mohammad Pedramfar, Christopher John Quinn, Vaneet Aggarwal
- Published: 21 Sept 2023, Last Modified: 12 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Hardware Resilience Properties of Text-Guided Image Classifiers
Syed Talal Wasim, Kabila Haile Soboka, Abdulrahman Mahmoud, Salman Khan, David Brooks, Gu-Yeon Wei
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Polynomial-Time Linear-Swap Regret Minimization in Imperfect-Information Sequential Games
Gabriele Farina, Charilaos Pipis
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Direct Preference-based Policy Optimization without Reward Modeling
Gaon An, Junhyeok Lee, Xingdong Zuo, Norio Kosaka, Kyung-Min Kim, Hyun Oh Song
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Faster Query Times for Fully Dynamic $k$-Center Clustering with Outliers
Leyla Biabani, Annika Hennes, Morteza Monemizadeh, Melanie Schmidt
- Published: 21 Sept 2023, Last Modified: 16 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Physics-Informed Bayesian Optimization of Variational Quantum Circuits
Kim Andrea Nicoli, Christopher J. Anders, Lena Funcke, Tobias Hartung, Karl Jansen, Stefan Kuhn, Klaus Robert Muller, Paolo Stornati, Pan Kessel, Shinichi Nakajima
- Published: 21 Sept 2023, Last Modified: 15 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone