| 2025 | Intent3D: 3D Object Detection in RGB-D Scans Based on Human Intention. | Weitai Kang, Mengxue Qu, Jyoti Kini, Yunchao Wei, Mubarak Shah, Yan Yan |
| 2025 | PIG: Physics-Informed Gaussians as Adaptive Parametric Mesh Representations. | Namgyu Kang, Jaemin Oh, Youngjoon Hong, Eunbyung Park |
| 2025 | Adversarial Policy Optimization for Offline Preference-based Reinforcement Learning. | Hyungkyu Kang, Min-hwan Oh |
| 2025 | MA2E: Addressing Partial Observability in Multi-Agent Reinforcement Learning with Masked Auto-Encoder. | Sehyeok Kang, Yongsik Lee, Gahee Kim, Song Chong, Se-Young Yun |
| 2025 | R2-Guard: Robust Reasoning Enabled LLM Guardrail via Knowledge-Enhanced Logical Reasoning. | Mintong Kang, Bo Li |
| 2025 | RetroInText: A Multimodal Large Language Model Enhanced Framework for Retrosynthetic Planning via In-Context Representation Learning. | Chenglong Kang, Xiaoyi Liu, Fei Guo |
| 2025 | Self-MoE: Towards Compositional Large Language Models with Self-Specialized Experts. | Junmo Kang, Leonid Karlinsky, Hongyin Luo, Zhen Wang, Jacob A. Hansen, James R. Glass, David Daniel Cox, Rameswar Panda, Rogrio Feris, Alan Ritter |
| 2025 | Class Distribution-induced Attention Map for Open-vocabulary Semantic Segmentations. | Dong Un Kang, Hayeon Kim, Se Young Chun |
| 2025 | See What You Are Told: Visual Attention Sink in Large Multimodal Models. | Seil Kang, Jinyeong Kim, Junhyeok Kim, Seong Jae Hwang |
| 2025 | Learning Efficient Positional Encodings with Graph Neural Networks. | Charilaos I. Kanatsoulis, Evelyn Choi, Stefanie Jegelka, Jure Leskovec, Alejandro Ribeiro |
| 2025 | OPTAMI: Global Superlinear Convergence of High-order Methods. | Dmitry Kamzolov, Artem Agafonov, Dmitry Pasechnyuk, Alexander V. Gasnikov, Martin Takc |
| 2025 | Fiddler: CPU-GPU Orchestration for Fast Inference of Mixture-of-Experts Models. | Keisuke Kamahori, Tian Tang, Yile Gu, Kan Zhu, Baris Kasikci |
| 2025 | Universal Sharpness Dynamics in Neural Network Training: Fixed Point Analysis, Edge of Stability, and Route to Chaos. | Dayal Singh Kalra, Tianyu He, Maissam Barkeshli |
| 2025 | MrT5: Dynamic Token Merging for Efficient Byte-level Language Models. | Julie Kallini, Shikhar Murty, Christopher D. Manning, Christopher Potts, Rbert Csords |
| 2025 | CubeDiff: Repurposing Diffusion-Based Image Models for Panorama Generation. | Nikolai Kalischek, Michael Oechsle, Fabian Manhardt, Philipp Henzler, Konrad Schindler, Federico Tombari |
| 2025 | Extendable and Iterative Structure Learning Strategy for Bayesian Networks. | Hamid Kalantari, Russell Greiner, Pouria Ramazi |
| 2025 | On the Optimal Memorization Capacity of Transformers. | Tokio Kajitsuka, Issei Sato |
| 2025 | Laplace Sample Information: Data Informativeness Through a Bayesian Lens. | Johannes Kaiser, Kristian Schwethelm, Daniel Rueckert, Georgios Kaissis |
| 2025 | Deep Linear Probe Generators for Weight Space Learning. | Jonathan Kahana, Eliahu Horwitz, Imri Shuval, Yedid Hoshen |
| 2025 | On the Almost Sure Convergence of the Stochastic Three Points Algorithm. | Taha el Bakkali el Kadi, Omar Saadi |
| 2025 | No Equations Needed: Learning System Dynamics Without Relying on Closed-Form ODEs. | Krzysztof Kacprzyk, Mihaela van der Schaar |
| 2025 | GraphBridge: Towards Arbitrary Transfer Learning in GNNs. | Li Ju, Xingyi Yang, Qi Li, Xinchao Wang |
| 2025 | Continuous Exposure Learning for Low-light Image Enhancement using Neural ODEs. | Donggoo Jung, Daehyun Kim, Tae Hyun Kim |
| 2025 | WardropNet: Traffic Flow Predictions via Equilibrium-Augmented Learning. | Kai Jungel, Dario Paccagnan, Axel Parmentier, Maximilian Schiffer |
| 2025 | Adversarial Latent Feature Augmentation for Fairness. | Hoin Jung, Junyi Chai, Xiaoqian Wang |