4 citations · 5 across the 4 of their papers we have counts for
4 papers
Cheap Thrills: Effective Amortized Optimization Using Inexpensive Labels
Khai Nguyen, Petros Ellinas, Anvita Bhagavathula +1
To scale optimization and simulation, prior work has explored training machine-learning surrogates that map problem parameters to solutions inexpensively at inference time. Unfortu…
PF: A Benchmark Dataset for Power Flow under Load, Generation, and Topology Variations
Ana K. Rivera, Anvita Bhagavathula, Alvaro Carbonero +1
Power flow (PF) calculations are the backbone of real-time grid operations, across workflows such as contingency analysis (where repeated PF evaluations assess grid security under…
CarbonClarity: Understanding and Addressing Uncertainty in Embodied Carbon for Sustainable Computing
Xuesi Chen, Leo Han, Anvita Bhagavathula +1
Embodied carbon footprint modeling has become an area of growing interest due to its significant contribution to carbon emissions in computing. However, the deterministic nature of…
Machine learning can guide experimental approaches for protein digestibility estimations
Sara Malvar, Anvita Bhagavathula, Maria Angels de Luis Balaguer +2
Food protein digestibility and bioavailability are critical aspects in addressing human nutritional demands, particularly when seeking sustainable alternatives to animal-based prot…