…Generated by Qwen/Qwen2.5-Coder-32B-Instruct Learning mappings between infinite-dimensional function spaces, or operator learning , is essential for many machine learning applications. Although transformer-based operators are popular, they…
Papers arxiv:2605.13834 Topology-Preserving Neural Operator Learning via Hodge Decomposition Published on May 13 Submitted by Tao Zhong on May 15 Princeton University Authors: , Tao Zhong , Abstract Physical field equations…
…Deep Koopman methods learn flexible coordinates, whereas structure-preserving methods enforce operator identities on fixed dictionaries. We combine these ideas by introducing Deep Embedded Multiplicative Dynamic Mode Decomposition (DeepMDMD), a method that…
…Abstract Deep reinforcement learning framework L2C2 addresses prior mismatch in tabular foundation models by sequentially applying data cleaning operators to align real-world data with synthetic training distributions, improving both accuracy and…
…Quantum Transformer (2026) Toward General Quantum Control with Physics-Informed Large Language Models (2026) Learning Logical Operations for Arbitrary Quantum Error Correction Codes (2026) Please give a thumbs up to this comment…
…Team-level operators assemble niche-conditioned teams and select collaboration structures online. Population-level lifecycle operators fork, merge, prune, and seed agents under performance pressure. On three heterogeneous task streams with Qwen3…
…Existing approaches either rely on manual skill curation , prescribe heuristic skill operations, or train for short-horizon skill operations. However, they still struggle to learn complex long-term curation policies from indirect…
… This is the operationalization of "PT-breaking ↔ causal order." iii η-norm drift. …
…Robust handling of such missing-modality scenarios is therefore essential for real-world robot operation. This paper introduces RL4IL, a reinforcement learning guided method for imitation learning that selects the most suitable…
…composition framework enables scalable reinforcement learning for language models by automatically combining verifiable environments through compositional operators. Generated by Qwen/Qwen2.5-Coder-32B-Instruct Reinforcement Learning (RL) with verifiable environments has…