Automatic pneumonia detection based on ultrasound video analysis. - Pedro Cisneros-Velarde; Malena Correa; Holger Mayta; Cynthia Anticona; Monica Pajuelo; Richard Oberhelman; William Checkley; Robert H. Gilman 002; Dante Figueroa; Mirko Zimic; Roberto J. Lavarello; Benjamín Castañeda (EMBC, 2016)

Dynamic Social Balance and Convergent Appraisals via Homophily and Influence Mechanisms. - Wenjun Mei; Pedro Cisneros-Velarde; Noah E. Friedkin; Francesco Bullo (CoRR, 2017)

Dynamic social balance and convergent appraisals via homophily and influence mechanisms. - Wenjun Mei; Pedro Cisneros-Velarde; Ge Chen 001; Noah E. Friedkin; Francesco Bullo (Autom., 2019)

Distributionally Robust Formulation and Model Selection for the Graphical Lasso. - Pedro Cisneros-Velarde; Alexander Petersen; Sang-Yun Oh (AISTATS, 2020)

Hierarchical Network Formation Games. - Pedro Cisneros-Velarde; Francesco Bullo (CoRR, 2020)

Distributed and time-varying primal-dual dynamics via contraction analysis. - Pedro Cisneros-Velarde; Saber Jafarpour; Francesco Bullo (CoRR, 2020)

Weak and Semi-Contraction Theory with Application to Network Systems. - Saber Jafarpour; Pedro Cisneros-Velarde; Francesco Bullo (CoRR, 2020)

Multi-group SIS Epidemics with Simplicial and Higher-Order Interactions. - Pedro Cisneros-Velarde; Francesco Bullo (CoRR, 2020)

Signed Network Formation Games and Clustering Balance. - Pedro Cisneros-Velarde; Francesco Bullo (Dyn. Games Appl., 2020)

From Contraction Theory to Fixed Point Algorithms on Riemannian and Non-Euclidean Spaces. - Francesco Bullo; Pedro Cisneros-Velarde; Alexander Davydov 001; Saber Jafarpour (CDC, 2021)

Structural Balance via Gradient Flows Over Signed Graphs. - Pedro Cisneros-Velarde; Noah E. Friedkin; Anton V. Proskurnikov; Francesco Bullo (IEEE Trans. Autom. Control., 2021)

Polarization and Fluctuations in Signed Social Networks. - Pedro Cisneros-Velarde; Kevin S. Chan; Francesco Bullo (IEEE Trans. Autom. Control., 2021)

A Contraction Theory Approach to Optimization Algorithms from Acceleration Flows. - Pedro Cisneros-Velarde; Francesco Bullo (AISTATS, 2022)

One Policy is Enough: Parallel Exploration with a Single Policy is Minimax Optimal for Reward-Free Reinforcement Learning. - Pedro Cisneros-Velarde; Boxiang Lyu; Sanmi Koyejo; Mladen Kolar (CoRR, 2022)

Discrete State-Action Abstraction via the Successor Representation. - Amnon Attali; Pedro Cisneros-Velarde; Marco Morales 001; Nancy M. Amato (CoRR, 2022)

A Contraction Analysis of Primal-Dual Dynamics in Distributed and Time-Varying Implementations. - Pedro Cisneros-Velarde; Saber Jafarpour; Francesco Bullo (IEEE Trans. Autom. Control., 2022)

Contraction Theory for Dynamical Systems on Hilbert Spaces. - Pedro Cisneros-Velarde; Saber Jafarpour; Francesco Bullo (IEEE Trans. Autom. Control., 2022)

Weak and Semi-Contraction for Network Systems and Diffusively Coupled Oscillators. - Saber Jafarpour; Pedro Cisneros-Velarde; Francesco Bullo (IEEE Trans. Autom. Control., 2022)

Multigroup SIS Epidemics With Simplicial and Higher Order Interactions. - Pedro Cisneros-Velarde; Francesco Bullo (IEEE Trans. Control. Netw. Syst., 2022)

One Policy is Enough: Parallel Exploration with a Single Policy is Near-Optimal for Reward-Free Reinforcement Learning. - Pedro Cisneros-Velarde; Boxiang Lyu; Sanmi Koyejo; Mladen Kolar (AISTATS, 2023)

Restricted Strong Convexity of Deep Learning Models with Smooth Activations. - Arindam Banerjee 001; Pedro Cisneros-Velarde; Libin Zhu; Mikhail Belkin (ICLR, 2023)

Neural tangent kernel at initialization: linear width suffices. - Arindam Banerjee 001; Pedro Cisneros-Velarde; Libin Zhu; Mikhail Belkin (UAI, 2023)

Finite-sample guarantees for Nash Q-learning with linear function approximation. - Pedro Cisneros-Velarde; Sanmi Koyejo (UAI, 2023)

Distributed Wasserstein Barycenters via Displacement Interpolation. - Pedro Cisneros-Velarde; Francesco Bullo (IEEE Trans. Control. Netw. Syst., 2023)

On the Principles behind Opinion Dynamics in Multi-Agent Systems of Large Language Models. - Pedro Cisneros-Velarde (CoRR, 2024)

Large Language Models can Achieve Social Balance. - Pedro Cisneros-Velarde (CoRR, 2024)

Biases in Opinion Dynamics in Multi-Agent Systems of Large Language Models: A Case Study on Funding Allocation. - Pedro Cisneros-Velarde (NAACL (Findings), 2025)

Optimization and Generalization Guarantees for Weight Normalization. - Pedro Cisneros-Velarde; Zhijie Chen; Sanmi Koyejo; Arindam Banerjee 001 (Trans. Mach. Learn. Res., 2025)

Optimization for Neural Operators can Benefit from Width. - Pedro Cisneros-Velarde; Bhavesh Shrimali; Arindam Banerjee 001 (CoRR, 2025)

Bypassing Safety Guardrails in LLMs Using Humor. - Pedro Cisneros-Velarde (CoRR, 2025)