Scholar
Enrique Mallada
Google Scholar ID: ZvRFA04AAAAJ
Associate Professor, Johns Hopkins University
Control Theory
Optimization
Machine Learning
Power Networks
Dynamical Systems
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Citations & Impact
All-time
Citations
2,990
H-index
32
i10-index
56
Publications
20
Co-authors
96
list available
Publications
7 items
Memory-Computation Tradeoffs in Semi Amortized Parametric Optimization
2026
Cited
0
On the Limits of Sampling-Based Reachability: Geometry, Dynamics, and Sample Complexity
2026
Cited
0
Symplectic Inductive Bias for Data-Driven Target Reachability in Hamiltonian Systems
2026
Cited
0
Data-driven Acceleration of MPC with Guarantees
2025
Cited
0
A Local Polyak-Lojasiewicz and Descent Lemma of Gradient Descent For Overparametrized Linear Models
2025
Cited
0
Understanding the Learning Dynamics of LoRA: A Gradient Flow Perspective on Low-Rank Adaptation in Matrix Factorization
2025
Cited
0
Variance-Aware Linear UCB with Deep Representation for Neural Contextual Bandits
arXiv.org · 2024
Cited
0
Co-authors
8 total
Hancheng Min
Shanghai Jiao Tong University
Rene Vidal
Rachleff University Professor, University of Pennsylvania; Amazon Scholar; Chief Scientist, NORCE
Jorge Cortes
Professor of Mechanical and Aerospace Engineering, University of California, San Diego
Mohammad Hajiesmaili
Associate Professor, Manning College of Information and Computer Sciences, UMass Amherst
Florian Dörfler
ETH Zürich
Salma Tarmoun
PhD student, University of Pennsylvania
Tianqi Zheng
Amazon (2023-), PhD in Electrical and Computer Engineering, Johns Hopkins University (2023)
Agustin Castellano
Johns Hopkins University
