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Alejandro Ribeiro

Last-Iterate Convergent Policy Gradient Primal-Dual Methods for Constrained MDPs
2023 · Dongsheng Ding, Chen-Yu Wei, et al. · neural information processing systems · 8
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coVariance Neural Networks
2022 · Saurabh Sihag, Gonzalo Mateos, et al. · neural information processing systems · 6
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Explainable Brain Age Prediction using coVariance Neural Networks
2023 · Saurabh Sihag, Gonzalo Mateos, et al. · neural information processing systems · 1
Resilient Constrained Learning
2023 · Ignacio Hounie, Alejandro Ribeiro, et al. · neural information processing systems · 1
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A Lagrangian Duality Approach to Active Learning
2022 · Juan Elenter, Navid Naderializadeh, et al. · neural information processing systems · 1
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Colored Graph Signal Diffusion Models
2026 · Uslu, Yiğit Berkay, Hadou, Samar, et al. · arXiv (Cornell University)
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ConicFlow: constrained Inference-time optimal control for flow matching models
2026 · Khalafi, Shervin, Fallah, Kasra, et al. · arXiv (Cornell University)
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Visual Navigation Transformer with Pose Attention
2026 · Li, Beiming, Romero, Jaime, et al. · arXiv (Cornell University)
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Learning with Covariance Matrices: Principal Component Analysis Meets Learning with Graphs
2026 · Sihag, Saurabh, Cavallo, Andrea, et al. · arXiv (Cornell University)
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Every Sample Counts: Supervised Fine-Tuning of Language Models with Pointwise Constraints
2026 · Hounie, Ignacio, Boero, Ignacio, et al. · arXiv (Cornell University)
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DiPhon: Diffusion on Graphons for Scalable Graph Generation
2026 · Rozada, Sergio, Qin, Yiming, et al. · arXiv (Cornell University)
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Graph Convolutional Attention: A Spectral Perspective on Graph Denoising and Diffusion
2026 · Khalafi, Shervin, Krawczuk, Igor, et al. · arXiv (Cornell University)
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Generative Diffusion Models of Stochastic Graph Signals
2026 · Uslu, Yiğit Berkay, Hadou, Samar, et al. · arXiv (Cornell University)
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Constrained Diffusion Models with Primal-Dual Inference
2026 · Hadou, Samar, Uslu, Yigit Berkay, et al. · arXiv (Cornell University)
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Everywhere Learning: Artificial Intelligence with Pointwise Constraints
2026 · Boero, Ignacio, Hounie, Ignacio, et al. · arXiv (Cornell University)
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Unlearning in Diffusion Models: A Unified Framework with KL Divergence and Likelihood Constraints
2026 · Khalafi, Shervin, Ribeiro, Alejandro, et al. · arXiv (Cornell University)
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Consistent Geometric Deep Learning via Hilbert Bundles and Cellular Sheaves
2026 · Tandon, Kartik, Gould, Julian, et al. · arXiv (Cornell University)
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RKHS Representation of Algebraic Convolutional Filters with Integral Operators
2026 · Parada-Mayorga, Alejandro, Ribeiro, Alejandro, et al. · arXiv (Cornell University)
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Size-Transferability of Graph Transformers with Convolutional Positional Encodings
2026 · Porras-Valenzuela, Javier, Wang, Zhiyang, et al. · arXiv (Cornell University)
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Learning Policy Representations for Steerable Behavior Synthesis
2026 · Li, Beiming, Rozada, Sergio, et al. · arXiv (Cornell University)
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Unrolled Neural Networks for Constrained Optimization
2026 · Hadou, Samar, Ribeiro, Alejandro · arXiv (Cornell University)
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A Constrained Optimization Perspective of Unrolled Transformers
2026 · Porras-Valenzuela, Javier, Hadou, Samar, et al. · arXiv (Cornell University)
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45 SPS Members Elevated to Fellow [Society News]
2025 · Tülay Adali, Xiang Bai, et al. · IEEE Signal Processing Magazine
Works count: 23
Citation count: 17
H-index: 2
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