Akash Jha PRO

AceVikings

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published a bucket about 3 hours ago

AceVikings/repro-scalable-and-interpretable-representation-alignment-with-ordinal-similarity-artifacts

updated a dataset about 6 hours ago

AceVikings/ICML-2026-repro-hrypB1oTC3-artifacts

updated a dataset about 8 hours ago

AceVikings/ICML-2026-repro-KG4CjK6j8Y-artifacts

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AceVikings 's Spaces 101

Reproduction: Streaming Sliced Optimal Transport

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Reproduction: Scalable and Interpretable Representation Alignment with Ordinal Similarity

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Reproduction: Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation

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Reproduction: Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis

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Reproduction: Improved Dimension Dependence for Bandit Convex Optimization with Gradient Variation

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Reproduction: Loss-Aware Distributionally Robust Optimization via Trainable Optimal Transport Ambiguity Sets

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Reproduction: Convex Distance Operator Transport: A Convex and Geometry-Preserving Formulation

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Reproduction: Decentralized Online Convex Optimization with Efficient Communication: Improved Algorithm and Lower Bounds

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Reproduction: Accurate Large-sample Uncertainty Quantification using Stochastic Gradient Markov Chain Monte Carlo

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Reproduction: The Velocity Deficit: Initial Energy Injection for Flow Matching

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Reproduction: TT-Sparse: Learning Sparse Rule Models with Differentiable Truth Tables

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Reproduction: SEER: Transformer-based Robust Time Series Forecasting via Automated Patch Enhancement and Replacement

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Reproduction: Model Fusion via Retrofitting

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Reproduction: UltraLIF: Fully Differentiable Spiking Neural Networks via Ultradiscretization and Max-Plus Algebra

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Reproduction: WaveSSM: Multiscale State-Space Models for Non-stationary Signal Attention

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Reproduction: Randomized Advantage Transformation (RAT): Computing Natural Policy Gradients via Direct Backpropagation

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Reproduction: Zero-Shot Off-Policy Learning

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Reproduction: Shapley Neuron Values for Continual Learning: Which Neurons Matter Most?

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Reproduction: Meta-Black-Box Optimization Can Do Search Guidance for Expensive Constrained Multi-Objective Optimization

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Reproduction: Amortized Variational Inference for Partial-Label Learning: A Probabilistic Approach to Label Disambiguation

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Reproduction: Contextual Rollout Bandits for Reinforcement Learning with Verifiable Rewards

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Reproduction: Riemannian MeanFlow for One-Step Generation on Manifolds

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Reproduction: When Shared Knowledge Hurts: Spectral Over-Accumulation in Model Merging

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Reproduction: Gauge-Equivariant Graph Networks via Self-Interference Cancellation

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