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Running
How can embedding models bind concepts?
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CAffNet: Hard Constraint-Affine Neural Networks
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Understanding Generalization and Forgetting in In-Context Continual Learning
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Stability Analysis of Sharpness-Aware Minimization
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Adaptive Multi-Round Allocation with Stochastic Arrivals
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Rotary Position Encodings for Graphs
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Autoregressive Language Models are Secretly Energy-Based Models: Insights into the Lookahead Capabilities of Next-Token
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Maximum Likelihood Reinforcement Learning
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A Two-Layer Framework for Joint Online Configuration Selection and Admission Control
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High-Accuracy Sampling for Diffusion Models and Log-Concave Distributions
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On Structured State-Space Duality
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Attention Implements the Fisher Geometry of Exponential Families
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A General Framework for Fair and Robust Regression
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Refining Dual Spectral Sparsity in Transformed Tensor Singular Values
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Optimal Transport with Symmetry Groups
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On the Identifiability of Poisson Branching Structural Causal Model Under Latent Confounding
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Optimal Anytime Algorithms for Online Convex Optimization with Adversarial Constraints
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Foundations of Equivariant Deep Learning: Unifying Graph and Sheaf Neural Networks
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Row-Stochastic Matrices Can Provably Outperform Doubly Stochastic Matrices in Decentralized Learning
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Mixtures Closest To A Given Measure: A Semidefinite Programming Approach
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Flat Minima and Generalization: Insights from Stochastic Convex Optimization
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Well-Posed KL-Regularized Control via Wasserstein and Kalman–Wasserstein KL Divergences
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On Uniform Error Bounds for Kernel Regression under Non-Gaussian Noise
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