Ecologically-Constrained Task Arithmetic for Multi-Taxa Bioacoustic Classifiers Without Shared Data

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Fine-Grained Change Point Detection for Topic Modeling with Pitman-Yor Process

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Steer Like the LLM: Activation Steering that Mimics Prompting

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Graph Neural Networks in the Wilson Loop Representation of Abelian Lattice Gauge Theories

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From Data Lifting to Continuous Risk Estimation: A Process-Aware Pipeline for Predictive Monitoring of Clinical Pathways

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Raising the Ceiling: Better Empirical Fixation Densities for Saliency Benchmarking

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Spatiotemporal Convolutions on EEG signal -- A Representation Learning Perspective on Efficient and Explainable EEG Classification with Convolutional Neural Nets

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On Adaptivity in Zeroth-Order Optimization

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Memory-Efficient Continual Learning with CLIP Models

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Complex Equation Learner: Rational Symbolic Regression with Gradient Descent in Complex Domain

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On Computing Total Variation Distance Between Mixtures of Product Distributions

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A Domain Incremental Continual Learning Benchmark for ICU Time Series Model Transportability

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Deletion Robust Non-Monotone Submodular Maximization over Matroids

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Joint Design of Piggyback and Conjugate Transformation Functions for Repair Bandwidth Reduction in Piggybacking Codes

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Deterministic Sparse FFT via Keyed Multi-View Gating with $O(sqrt{N} log k)$ Expected Time

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Realizable Bayes-Consistency for General Metric Losses

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Complex Analysis of Channel Polarization on discrete BMS Channels

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Quantum Multi-Level Estimation of Functionals of Discrete Distributions

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Design and Analysis of Quantum Dual-Containing CSS LDPC Codes based on Quasi-Dyadic Matrices

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Leveraging Code Automorphisms for Improved Syndrome-Based Neural Decoding

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