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Reproduction: FluxNet: Learning Capacity-Constrained Local Transport Operators for Conservative and Bounded PDE Surrogates
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Srishti Saha
Srishti280992
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upvoted an article about 1 month ago
What We Learned by Reproducing 2,200 papers from ICML updated a Space about 1 month ago
Srishti280992/repro-deep-networks-learn-to-parse-uniform-depth-context-free-languages-from-local-statisticsOrganizations
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Reproduction: Expectation Consistency Loss: Rethink Confidence Calibration under Covariate Shift
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Reproduction: Language Generation with Replay: A Learning-Theoretic View of Model Collapse
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Reproduction: Convex Distance Operator Transport: A Convex and Geometry-Preserving Formulation
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Reproduction: Efficient Stochastic Optimisation via Sequential Monte Carlo
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Reproduction: On the Theory of Continual Learning with Gradient Descent for Neural Networks
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Reproduction: Efficient Preference Poisoning Attack on Offline RLHF
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Reproduction: Minimizing Upper Confidence Bounds: A Data-Driven Framework for Stochastic Programming
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Reproduction: Generalizing Stochastic Smoothing for Differentiation and Gradient Estimation
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Reproduction: Asymptotic Optimality of the High-Dimensional Gaussian Mechanism and Improved Low-Dimensional Mechanisms for Differential Privacy
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Reproduction: CodeTaste: Can LLMs Generate Human-Level Code Refactorings?
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Reproduction: Loss-Aware Distributionally Robust Optimization via Trainable Optimal Transport Ambiguity Sets
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Reproduction: Improved Bounds for Private and Robust Alignment
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Reproduction: Positive Distribution Shift as a Framework for Understanding Tractable Learning
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Reproduction: On the Power of (Approximate) Reward Models for Inference-Time Scaling: Sequential Monte Carlo and Beyond
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Reproduction: Incentivized Exploration with Stochastic Covariates: A Two-Stage Mechanism Design for Recommender System
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Reproduction: Interventional Processes For Causal Uncertainty Quantification
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Reproduction: Optimal and Scalable MAPF via Multi-Marginal Optimal Transport and Schrödinger Bridges
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Reproduction: Approximation Preserving Coresets
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Reproduction: A Graphop Analysis of Graph Neural Networks on Sparse Graphs: Generalization and Universal Approximation
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Reproduction: Universal Representation of Generalized Convex Functions and their Gradients
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Reproduction: Differentiable Conformal Training for LLM Reasoning Factuality
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Reproduction: Decentralized Online Convex Optimization with Efficient Communication
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Reproduction: ManifoldKV: Training-Free KV Cache Compression via Euclidean Outlier Detection
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