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Reproduction: Why Are Linear RNNs More Parallelizable?
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Dinesh Jinjala
DineshAI
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Recent Activity
updated a Space 9 minutes ago
DineshAI/repro-accurate-evaluation-of-quickest-changepoint-detectors-via-non-parametric-survival-analysis published a Space 10 minutes ago
DineshAI/repro-accurate-evaluation-of-quickest-changepoint-detectors-via-non-parametric-survival-analysis published a Space about 1 hour ago
DineshAI/l6KZJO7w48Organizations
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Repro - Lipschitz Continuous Transformers
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kovefbSXbQ — Behavioral State Abstraction
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Repro - ziqS4yXFQX KRR treatment effects
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Repro - ICL Bayesian Risk Decomposition
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Repro - HJ-Prox Operator Splitting
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Repro - Combinatorial Sparse PCA Beyond Spiked Identity
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Repro - FairCrowd: Optimal Fair Aggregation of Crowdsourced Labels
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Repro - Decentralized Mixed Affine Optimization
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Repro - Two-Timescale Markovian SA
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Repro - Language Generation with Replay
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Repro - Parameter-Free TD Learning
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Repro - Convex Basins Single-Index
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Convex Distance Operator Transport (nPC7M7XLEv)
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Reproduction: The Catastrophic Failure of the k-Means Algorithm in High Dimensions, and How Hartigan's Algorithm Avoids It
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FFOLayer: claim-by-claim reproduction — jJur8Fq7IK
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TRACE Trajectory Recovery (xRN1Ym2hoa)
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Why Do We Need Warm-up? (H0,H1)-smoothness — a6fo32UnpU
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Variational Generative Wasserstein Flows — sJ7ngz2eQx
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Contrastive RL Consistency & Generalization — xixoixLXCr
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