NeurIPS 2023 Conference Submissions

Dual control variate for faster black-box variational inference
Xi Wang, Tomas Geffner, Justin Domke
- 10 May 2023 (modified: 12 Dec 2023)
- Submitted to NeurIPS 2023
- Readers: Everyone
Bayesian Kernelized Tensor Factorization as Surrogate for Bayesian Optimization
Mengying Lei, Lijun Sun
- 10 May 2023 (modified: 12 Dec 2023)
- Submitted to NeurIPS 2023
- Readers: Everyone
Probabilistic inverse optimal control for non-linear partially observable systems disentangles perceptual uncertainty and behavioral costs
Dominik Straub, Matthias Schultheis, Heinz Koeppl, Constantin A. Rothkopf
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
An Optimal Structured Zeroth-order Algorithm for Non-smooth Optimization
Marco Rando, Cesare Molinari, Lorenzo Rosasco, Silvia Villa
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Interpretable Reward Redistribution in Reinforcement Learning: A Causal Approach
Yudi Zhang, Yali Du, Biwei Huang, Ziyan Wang, Jun Wang, Meng Fang, Mykola Pechenizkiy
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Theoretical Analysis of the Inductive Biases in Deep Convolutional Networks
Zihao Wang, Lei Wu
- Published: 21 Sept 2023, Last Modified: 20 Dec 2023
- NeurIPS 2023 poster
- Readers: Everyone
Leveraging sparse and shared feature activations for disentangled representation learning
Marco Fumero, Florian Wenzel, Luca Zancato, Alessandro Achille, Emanuele Rodolà, Stefano Soatto, Bernhard Schölkopf, Francesco Locatello
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 spotlight
- Readers: Everyone
Entropy-based Training Methods for Scalable Neural Implicit Samplers
Weijian Luo, Boya Zhang, Zhihua Zhang
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Learning Adversarial Low-rank Markov Decision Processes with Unknown Transition and Full-information Feedback
Canzhe Zhao, Ruofeng Yang, Baoxiang Wang, Xuezhou Zhang, Shuai Li
- Published: 21 Sept 2023, Last Modified: 14 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Implicit Contrastive Representation Learning with Guided Stop-gradient
Byeongchan Lee, Sehyun Lee
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
A Robust and Opponent-Aware League Training Method for StarCraft II
Ruozi Huang, Xipeng Wu, Hongsheng Yu, Zhong Fan, Haobo Fu, QIANG FU, Yang Wei
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 spotlight
- Readers: Everyone
Score-based Generative Models with Lévy Processes
Eunbi Yoon, Keehun Park, Sungwoong Kim, Sungbin Lim
- Published: 21 Sept 2023, Last Modified: 19 Jan 2024
- NeurIPS 2023 spotlight
- Readers: Everyone
Task Arithmetic in the Tangent Space: Improved Editing of Pre-Trained Models
Guillermo Ortiz-Jimenez, Alessandro Favero, Pascal Frossard
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 oral
- Readers: Everyone
Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability
Haotian Xue, Alexandre Araujo, Bin Hu, Yongxin Chen
- Published: 21 Sept 2023, Last Modified: 10 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Balancing Risk and Reward: A Batched-Bandit Strategy for Automated Phased Release
Yufan Li, Jialiang Mao, Iavor Bojinov
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Knowledge Distillation Performs Partial Variance Reduction
Mher Safaryan, Alexandra Peste, Dan Alistarh
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes
Haotian Xue, Antonio Torralba, Joshua B. Tenenbaum, Daniel LK Yamins, Yunzhu Li, Hsiao-Yu Tung
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Learning Space-Time Continuous Latent Neural PDEs from Partially Observed States
Valerii Iakovlev, Markus Heinonen, Harri Lähdesmäki
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Curve Your Enthusiasm: Concurvity Regularization in Differentiable Generalized Additive Models
Julien Niklas Siems, Konstantin Ditschuneit, Winfried Ripken, Alma Lindborg, Maximilian Schambach, Johannes Otterbach, Martin Genzel
- Published: 21 Sept 2023, Last Modified: 11 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Corruption-Robust Offline Reinforcement Learning with General Function Approximation
Chenlu Ye, Rui Yang, Quanquan Gu, Tong Zhang
- Published: 21 Sept 2023, Last Modified: 14 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Hodge-Aware Learning on Simplicial Complexes
Maosheng Yang, Elvin Isufi
- 10 May 2023 (modified: 12 Dec 2023)
- Submitted to NeurIPS 2023
- Readers: Everyone
Geometric Neural Diffusion Processes
Emile Mathieu, Vincent Dutordoir, Michael John Hutchinson, Valentin De Bortoli, Yee Whye Teh, Richard E Turner
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Predicting mutational effects on protein-protein binding via a side-chain diffusion probabilistic model
Shiwei Liu, Tian Zhu, Milong Ren, Yu Chungong, Dongbo Bu, Haicang Zhang
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Gaussian Membership Inference Privacy
Tobias Leemann, Martin Pawelczyk, Gjergji Kasneci
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Coherent Soft Imitation Learning
Joe Watson, Sandy Huang, Nicolas Heess
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 spotlight
- Readers: Everyone