| 2025 | When Will It Fail?: Anomaly to Prompt for Forecasting Future Anomalies in Time Series. | Min-Yeong Park, Won-Jeong Lee, Seong Tae Kim, Gyeong-Moon Park |
| 2025 | SECOND: Mitigating Perceptual Hallucination in Vision-Language Models via Selective and Contrastive Decoding. | Woohyeon Park, Woojin Kim, Jaeik Kim, Jaeyoung Do |
| 2025 | Tensor Product Neural Networks for Functional ANOVA Model. | Seokhun Park, Insung Kong, Yongchan Choi, Chanmoo Park, Yongdai Kim |
| 2025 | Activation by Interval-wise Dropout: A Simple Way to Prevent Neural Networks from Plasticity Loss. | Sangyeon Park, Isaac Han, Seungwon Oh, Kyung-Joong Kim |
| 2025 | Steer LLM Latents for Hallucination Detection. | Seongheon Park, Xuefeng Du, Min-Hsuan Yeh, Haobo Wang, Yixuan Li |
| 2025 | Causal-PIK: Causality-based Physical Reasoning with a Physics-Informed Kernel. | Carlota Pars-Morlans, Michelle Yi, Claire Chen, Sarah A. Wu, Rika Antonova, Tobias Gerstenberg, Jeannette Bohg |
| 2025 | Optimization Proxies using Limited Labeled Data and Training Time - A Semi-Supervised Bayesian Neural Network Approach. | Parikshit Pareek, Abhijith Jayakumar, Kaarthik Sundar, Sidhant Misra, Deepjyoti Deka |
| 2025 | TopoTune: A Framework for Generalized Combinatorial Complex Neural Networks. | Mathilde Papillon, Guillermo Bernrdez, Claudio Battiloro, Nina Miolane |
| 2025 | Understanding High-Dimensional Bayesian Optimization. | Leonard Papenmeier, Matthias Poloczek, Luigi Nardi |
| 2025 | Enhancing Diversity In Parallel Agents: A Maximum State Entropy Exploration Story. | Vincenzo De Paola, Riccardo Zamboni, Mirco Mutti, Marcello Restelli |
| 2025 | Geometric Generative Modeling with Noise-Conditioned Graph Networks. | Peter Pao-Huang, Mitchell Black, Xiaojie Qiu |
| 2025 | Video-Enhanced Offline Reinforcement Learning: A Model-Based Approach. | Minting Pan, Yitao Zheng, Jiajian Li, Yunbo Wang, Xiaokang Yang |
| 2025 | Preference Optimization for Combinatorial Optimization Problems. | Mingjun Pan, Guanquan Lin, You-Wei Luo, Bin Zhu, Zhien Dai, Lijun Sun, Chun Yuan |
| 2025 | The Hidden Dimensions of LLM Alignment: A Multi-Dimensional Analysis of Orthogonal Safety Directions. | Wenbo Pan, Zhichao Liu, Qiguang Chen, Xiangyang Zhou, Haining Yu, Xiaohua Jia |
| 2025 | Adversarial Perturbations Are Formed by Iteratively Learning Linear Combinations of the Right Singular Vectors of the Adversarial Jacobian. | Thomas Paniagua, Chinmay Savadikar, Tianfu Wu |
| 2025 | Token Cleaning: Fine-Grained Data Selection for LLM Supervised Fine-Tuning. | Jinlong Pang, Na Di, Zhaowei Zhu, Jiaheng Wei, Hao Cheng, Chen Qian, Yang Liu |
| 2025 | QuEST: Stable Training of LLMs with 1-Bit Weights and Activations. | Andrei Panferov, Jiale Chen, Soroush Tabesh, Mahdi Nikdan, Dan Alistarh |
| 2025 | Variational Control for Guidance in Diffusion Models. | Kushagra Pandey, Farrin Marouf Sofian, Felix Draxler, Theofanis Karaletsos, Stephan Mandt |
| 2025 | Pretraining Generative Flow Networks with Inexpensive Rewards for Molecular Graph Generation. | Mohit Pandey, Gopeshh Subbaraj, Artem Cherkasov, Martin Ester, Emmanuel Bengio |
| 2025 | DiffAdvMAP: Flexible Diffusion-Based Framework for Generating Natural Unrestricted Adversarial Examples. | Zhengzhao Pan, Hua Chen, Xiaogang Zhang |
| 2025 | How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation. | Yining Pan, Qiongjie Cui, Xulei Yang, Na Zhao |
| 2025 | Position: Iterative Online-Offline Joint Optimization is Needed to Manage Complex LLM Copyright Risks. | Yanzhou Pan, Jiayi Chen, Jiamin Chen, Zhaozhuo Xu, Denghui Zhang |
| 2025 | Training Software Engineering Agents and Verifiers with SWE-Gym. | Jiayi Pan, Xingyao Wang, Graham Neubig, Navdeep Jaitly, Heng Ji, Alane Suhr, Yizhe Zhang |
| 2025 | Can Transformers Reason Logically? A Study in SAT Solving. | Leyan Pan, Vijay Ganesh, Jacob D. Abernethy, Chris Esposo, Wenke Lee |
| 2025 | From Logits to Hierarchies: Hierarchical Clustering made Simple. | Emanuele Palumbo, Moritz Vandenhirtz, Alain Ryser, Imant Daunhawer, Julia E. Vogt |