| 2025 | Local Manifold Approximation and Projection for Manifold-Aware Diffusion Planning. | Kyowoon Lee, Jaesik Choi |
| 2025 | Are Large Brainwave Foundation Models Capable Yet ? Insights from Fine-Tuning. | Na Lee, Konstantinos Barmpas, Yannis Panagakis, Dimitrios A. Adamos, Nikolaos A. Laskaris, Stefanos Zafeiriou |
| 2025 | Near-Optimal Sample Complexity for MDPs via Anchoring. | Jongmin Lee, Mario Bravo, Roberto Cominetti |
| 2025 | Bayesian Weight Enhancement with Steady-State Adaptation for Test-time Adaptation in Dynamic Environments. | Jae-Hong Lee |
| 2025 | Toward Robust Hyper-Detailed Image Captioning: A Multiagent Approach and Dual Evaluation Metrics for Factuality and Coverage. | Saehyung Lee, Seunghyun Yoon, Trung Bui, Jing Shi, Sungroh Yoon |
| 2025 | On the Learnability of Distribution Classes with Adaptive Adversaries. | Tosca Lechner, Alex Bie, Gautam Kamath |
| 2025 | Generalization Bounds via Meta-Learned Model Representations: PAC-Bayes and Sample Compression Hypernetworks. | Benjamin Leblanc, Mathieu Bazinet, Nathaniel D'Amours, Alexandre Drouin, Pascal Germain |
| 2025 | Inference-Time Decomposition of Activations (ITDA): A Scalable Approach to Interpreting Large Language Models. | Patrick Leask, Neel Nanda, Noura Al Moubayed |
| 2025 | Learning Utilities from Demonstrations in Markov Decision Processes. | Filippo Lazzati, Alberto Maria Metelli |
| 2025 | Fixed-Confidence Multiple Change Point Identification under Bandit Feedback. | Joseph Lazzaro, Ciara Pike-Burke |
| 2025 | Understanding Fixed Predictions via Confined Regions. | Connor Lawless, Tsui-Wei Weng, Berk Ustun, Madeleine Udell |
| 2025 | Adaptive kernel predictors from feature-learning infinite limits of neural networks. | Clarissa Lauditi, Blake Bordelon, Cengiz Pehlevan |
| 2025 | Analyze Feature Flow to Enhance Interpretation and Steering in Language Models. | Daniil Laptev, Nikita Balagansky, Yaroslav Aksenov, Daniil Gavrilov |
| 2025 | Robust and Conjugate Spatio-Temporal Gaussian Processes. | William Laplante, Matas Altamirano, Andrew B. Duncan, Jeremias Knoblauch, Franois-Xavier Briol |
| 2025 | Liger: Linearizing Large Language Models to Gated Recurrent Structures. | Disen Lan, Weigao Sun, Jiaxi Hu, Jusen Du, Yu Cheng |
| 2025 | Gradient-based Explanations for Deep Learning Survival Models. | Sophie Hanna Langbein, Niklas Koenen, Marvin N. Wright |
| 2025 | Near-optimal Regret Using Policy Optimization in Online MDPs with Aggregate Bandit Feedback. | Tal Lancewicki, Yishay Mansour |
| 2025 | A Meta-learner for Heterogeneous Effects in Difference-in-Differences. | Hui Lan, Haoge Chang, Eleanor Wiske Dillon, Vasilis Syrgkanis |
| 2025 | Simple Randomized Rounding for Max-Min Eigenvalue Augmentation. | Jourdain B. Lamperski, Haeseong Yang, Oleg A. Prokopyev |
| 2025 | A Theoretical Justification for Asymmetric Actor-Critic Algorithms. | Gaspard Lambrechts, Damien Ernst, Aditya Mahajan |
| 2025 | Focus On This, Not That! Steering LLMs with Adaptive Feature Specification. | Tom A. Lamb, Adam Davies, Alasdair Paren, Philip Torr, Francesco Pinto |
| 2025 | On the Private Estimation of Smooth Transport Maps. | Clment Lalanne, Franck Iutzeler, Jean-Michel Loubes, Julien Chhor |
| 2025 | Enhancing Certified Robustness via Block Reflector Orthogonal Layers and Logit Annealing Loss. | Bo-Han Lai, Pin-Han Huang, Bo-Han Kung, Shang-Tse Chen |
| 2025 | FairICP: Encouraging Equalized Odds via Inverse Conditional Permutation. | Yuheng Lai, Leying Guan |
| 2025 | AssistanceZero: Scalably Solving Assistance Games. | Cassidy Laidlaw, Eli Bronstein, Timothy Guo, Dylan Feng, Lukas Berglund, Justin Svegliato, Stuart Russell, Anca D. Dragan |