🏗️ Building on HF

Lukas Lozada Perez PRO

neonforestmist

·

AI & ML interests

Image/Video generation and on-device AI

Recent Activity

liked a Space about 23 hours ago

linoyts/qwen-image-2-1-realtime

updated a collection about 23 hours ago

Image & Video LoRA Library

updated a model about 23 hours ago

neonforestmist/LTX_Storybook_Anime_Style_LoRa

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Organizations

neonforestmist 's Spaces 241

Action-Sufficient Goal Representations

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Stabilizing the Q-Gradient Field for Policy Smoothness in Actor-Critic Methods

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Kalman Linear Attention: Parallel Bayesian Filtering For Efficient Language Modeling and State Tracking

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Frequentist Consistency of Prior-Data Fitted Networks for Causal Inference

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Genome-Factory: A Library for Tuning, Deploying, and Interpreting Genomic Foundation Models

Tune, deploy, and interpret genomic foundation models

Expanding the Capabilities of Reinforcement Learning via Text Feedback

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Content-Style Identification via Differential Independence

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Diversity-Driven Offline Multi-Objective Optimization via Nested Pareto Set Learning

Optimize multiple objectives with diverse Pareto solutions

Sequential Kernel-based Conditional Independence Testing via Adaptive Betting

Test conditional independence in data streams

Policy-Driven World Model Adaptation for Robust Offline Model-based Reinforcement Learning

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Beyond Token-level Supervision: Unlocking the Potential of Decoding-based Regression via Reinforcement Learning

Track and visualize RL regression experiment results

Statistical Consistency and Generalization of Contrastive Representation Learning

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

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Test-Time Graph Search for Goal-Conditioned Reinforcement Learning

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AGZO: Activation-Guided Zeroth-Order Optimization for LLM Fine-Tuning

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Instance-Level Costs for Nuanced Classifier Evaluation

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Approximation of Log-Partition Function in Policy Mirror Descent Induces Implicit Regularization for LLM Post-Training

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ASAP: Exploiting the Satisficing Generalization Edge in Neural Combinatorial Optimization

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Reward Learning through Ranking Mean Squared Error

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Doubly Regularized Markov Decision Processes for Robust Reinforcement Learning

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Identifiable Markov Switching Models with Instantaneous Effects and Exponential Families

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Coverage, Not Averages: Semantic Stratification for Trustworthy Retrieval Evaluation

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

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Regime-Adaptive Bayesian Optimization via Dirichlet Process Mixtures of Gaussian Processes

Run regime-adaptive Bayesian optimization on your problem