Papers
Deep, long-form breakdowns of recent research in AI, machine learning, security & programming languages.
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Private online learning and prediction for Littlestone classes
by Amartya Sanyal
What Should World Models Forget? Stratified Retention for Continual Adaptation
by Nishit Anand, Ramani Duraiswami, Dinesh Manocha
RNADyn: A Benchmark for Generating and Understanding RNA Dynamics
by Yiming Huang, Lennart Bastian, Hanqun Cao, Luis Vollmers, Tolga Birdal
LESSER: Post-Training Data Selection with Output-Layer Gradients
by Lyuxin David Zhang, Eric Wong, Surbhi Goel, Anton Xue
Decoding the Functional Roles of Register and High-Norm Patch Tokens in Vision Transformers
by Neel Varma, Andrew Rufail, Dipika Khullar, Vasu Sharma
Transcriptome-informed multi-modal AI for predicting neoadjuvant therapy response from breast cancer biopsies
by Jungkyu Park, Dhruva Biswas, Joseph Cappadona, Cerise Tang, Ken G. Zeng, Bartosz Machura, Chuwen Liu, Paolo Tarantino, Coral Omene, Francisco J. Esteva, Rohit Bhargava, Marcin Braun, Kamila Paździerz, Jakub Czerwiński, Hanna Romańska-Knight, Albert Grinshpun, Bareket Daniel, Michele Buchinger, Frederick Howard, Piotr Wysocki, Brie Chun, Freya Schnabel, Rich Caruana, Jan Witowski, Krzysztof J. Geras
Simulation-Free Learning of Population Dynamics with Wasserstein Lagrangian Residuals
by Fedor Sergeev, Markus Heinonen, Daniel Waxman, Tim Cooijmans, Ricardo Baptista, Dmitry Batenkov, Eli Bingham
MRVQ: One Resident Index for Dimension- and Rate-Elastic Vector Search
by Sean Culatana, Shang-En Huang, Kang Li
FrugalEvo: Towards Cost-Aware LLM-Guided Program Evolution
by Hui Chen, Xuan Qi, James Xu Zhao, Zhaopeng Feng, Shilong Liu, Kuang Xu, Pang Wei Koh, Bryan Hooi
Pivot-SD: Efficient Self-Distillation for Masked Diffusion Language Models
by Seo Hyun Kim, Sunwoo Hong, Younwoo Choi, Chen-Hao Chao, Se-Young Yun, Rahul G. Krishnan