Rodrigo C. G. Pena

rcgp

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https://rodrigo-pena.github.io/

rodrigo-pena

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HuggingEnvs/watercolour-gallery

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rcgp/repro-on-the-existence-of-consistent-adversarial-attacks-in-high-dimensional-linear-classificati

published a Space about 2 months ago

rcgp/repro-on-the-existence-of-consistent-adversarial-attacks-in-high-dimensional-linear-classificati

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rcgp 's Spaces 17

Reproduction: On the Existence of Consistent Adversarial Attacks in High-Dimensional Linear Classification

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Repro Fp Network Depth Width Icml2026

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Reproduction: Conservation Laws for Modern Neural Architectures

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Reproduction: Conservation Laws for Modern Neural Architectures

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Reproduction: Unraveling Syntax: Language Modeling and the Substructure of Grammars

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Reproduction: Second-Order Smooth Planning with Optimal-Transport Bellman Smoothing

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Reproduction: dnaHNet: A Scalable and Hierarchical Foundation Model for Genomic Sequence Learning

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Reproduction: Optimal structure learning and conditional independence testing

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Reproduction: Ranking Time Series using a Time Warping Ideal Point Model

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Reproduction: On the Optimization Trajectory of DeepWalk Embeddings

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Reproduction: Mechanistic Data Attribution: Tracing the Training Origins of Interpretable LLM Units

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Reproduction: GoodDiffusion: Proactive Copyright Protection for Diffusion Bridge Models via Learnable Sample-specific Signatures

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Reproduction: SVD as a Fast Interpretability Method for Transformers

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repro-conformal-c2st

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Reproduction: Both Semantics and Reconstruction Matter: Making Representation Encoders Ready for Text-to-Image Generation and Editing

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Reproduction: Both Semantics and Reconstruction Matter: Making Representation Encoders Ready for Text-to-Image Generation and Editing

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Reproduction: Lottery Prior: Randomized Neural Compression for Zero-Shot Inverse Problems

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Rodrigo C. G. Pena

AI & ML interests

Recent Activity

Organizations

rcgp 's Spaces 17 Sort: Recently updated

Reproduction: On the Existence of Consistent Adversarial Attacks in High-Dimensional Linear Classification

Repro Fp Network Depth Width Icml2026

Reproduction: Conservation Laws for Modern Neural Architectures

Reproduction: Conservation Laws for Modern Neural Architectures

Reproduction: Unraveling Syntax: Language Modeling and the Substructure of Grammars

Reproduction: Second-Order Smooth Planning with Optimal-Transport Bellman Smoothing

Reproduction: dnaHNet: A Scalable and Hierarchical Foundation Model for Genomic Sequence Learning

Reproduction: Optimal structure learning and conditional independence testing

Reproduction: Ranking Time Series using a Time Warping Ideal Point Model

Reproduction: On the Optimization Trajectory of DeepWalk Embeddings

Reproduction: Mechanistic Data Attribution: Tracing the Training Origins of Interpretable LLM Units

Reproduction: GoodDiffusion: Proactive Copyright Protection for Diffusion Bridge Models via Learnable Sample-specific Signatures

Reproduction: SVD as a Fast Interpretability Method for Transformers

repro-conformal-c2st

Reproduction: Both Semantics and Reconstruction Matter: Making Representation Encoders Ready for Text-to-Image Generation and Editing

Reproduction: Both Semantics and Reconstruction Matter: Making Representation Encoders Ready for Text-to-Image Generation and Editing

Reproduction: Lottery Prior: Randomized Neural Compression for Zero-Shot Inverse Problems

rcgp 's Spaces 17