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Nonlinear Reconstruction for Operator Learning of PDEs with...
Feb 1, 2023 · Operator learning based on non-linear reconstruction (FNOs, shift-DeepONets) outperform methods based on linear …
Enhanced Continual Learning of Vision-Language Models with Model...
Jan 26, 2026 · Vision-Language Models (VLMs) represent a significant breakthrough in artificial intelligence by integrating visual and …
The Clever Hans Mirage: A Comprehensive Survey on Spurious...
Feb 21, 2026 · This survey on spurious correlations uses the Clever Hans metaphor to motivate the problem, formalizes a group …
SleepSMC: Ubiquitous Sleep Staging via Supervised Multimodal...
Jan 22, 2025 · Sleep staging is critical for assessing sleep quality and tracking health. Polysomnography (PSG) provides …
Learning when to Communicate at Scale in Multiagent Cooperative …
Dec 20, 2018 · We introduce IC3Net, a single network which can be used to train agents in cooperative, competitive and mixed …
Building Normalizing Flows with Stochastic Interpolants
Feb 1, 2023 · A method is proposed to construct normalizing flows based on stochastic interpolants, yielding an efficient training …
PaZO: Preconditioned Accelerated Zeroth-Order Optimization for...
Sep 18, 2025 · This paper introduces PaZO, a preconditioned accelerated zeroth-order optimization algorithm for fine-tuning large …
Evaluating the Robustness of Neural Networks: An Extreme Value...
Feb 15, 2018 · Our analysis yields a novel robustness metric called CLEVER, which is short for Cross Lipschitz Extreme Value for …
Constrained Belief Updates Explain Geometric Structures in...
May 1, 2025 · What computational structures emerge in transformers trained on next-token prediction? In this work, we provide …
Who’s Harry Potter? Approximate Unlearning for LLMs
Sep 23, 2023 · TL;DR: We present a method for unlearning in LLMs and demonstrate its effectiveness by finetuning Llama2-7b to …
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