MISTIQUE: A System to Store and Query Model Intermediates for Model Diagnosis by Vartak, Manasi, Trindade, Joana M. F. da, Madden, Samuel R, Zaharia, Matei A

“…It is a key part of the modeling process and helps ML developers iteratively improve model accuracy. Often, model diagnosis is performed by analyzing different datasets or inter- mediates associated with the model such as the input data and hidden representations learned by the model (e.g., [ 4 , 24 , 39 ]). …”
Get full text

Interpreting Deep Visual Representations via Network Dissection by Zhou, Bolei, Bau, David, Oliva, Aude, Torralba, Antonio

“…We then examine factors affecting the network interpretability such as the number of the training iterations, regularizations, different initialization parameters, as well as networks depth and width. …”
Get full text

Focused blind deconvolution of interferometric Green’s functions by Pisupati, Pawan Bharadwaj, Demanet, Laurent, Fournier, Aime

“…To resolve the remaining degrees of freedom, we seek a first approximation where the Green's functions are “maximally white”, and relax this requirement as the iterations progress. This requirement is encoded as the focusing near zero lag of the energy of the auto-correlated Green's functions, hence we call the method focused blind deconvolution (FBD). …”
Get full text

Effectiveness of CubeSat-Based Architectures for Active Removal of On-Orbit Rocket Bodies by Clark, Christopher P., Tan, Dun Y., Arnal Luna, Patricia, Hastings, Daniel E., Masterson, Rebecca A., Ricard, Michael J.

“…Given a set of mission requirements, the algorithm arrives at an optimal or near-optimal architecture design by iterating through combinations of commercially available CubeSat components stored in a database. …”
Get full text

Computer aided detection of transient inflation events at Alaskan volcanoes using GPS measurements from 2005–2015 by Li, Justin D, Rude, Cody M, Blair, David M, Gowanlock, Michael G, Herring, Thomas A, Pankratius, Victor

“…Typical analyses of spatial positions originating from each station require careful tuning of algorithmic parameters and selection of time and spatial regions of interest to observe possible transient events. This iterative, manual process is tedious when attempting to make new discoveries and does not easily scale with the number of stations. …”
Get full text

FASTER: Fast and Safe Trajectory Planner for Flights in Unknown Environments by Tordesillas, Jesus, Lopez, Brett Thomas, How, Jonathan P

“…Furthermore, we present a Mixed Integer Quadratic Program formulation in which the solver can choose the trajectory interval allocation, and where a time allocation heuristic is computed efficiently using the result of the previous replanning iteration. This proposed algorithm is tested extensively both in simulation and in real hardware, showing agile flights in unknown cluttered environments with velocities up to 3.6 \mathrm{m}/\mathrm{s}.…”
Get full text

Outlier-Robust Spatial Perception: Hardness, General-Purpose Algorithms, and Guarantees by Tzoumas, Vasileios, Antonante, Pasquale, Carlone, Luca

“…Our algorithm leverages recently-proposed global solvers that are able to solve outlier-free problems, and iteratively removes measurements with large errors. …”
Get full text

Representative identification of spectra and environments (RISE) using k‐means by Looney, Erin E, Liu, Zhe, Classen, Andrej, Liu, Haohui, Riedel, Nicholas, Braga, Marília, Balaji, Pradeep, Augusto, André, Buonassisi, Tonio, Marius Peters, Ian

“…In this work, we propose a classification method based on an iterative use of the k-means clustering algorithm. …”
Get full text

Validation of an Analytical Model to Lower the Cost of Solar-Powered Drip Irrigation Systems for Smallholder Farmers in the Mena Region by Grant, Fiona, Sheline, Carolyn, Amrose, Susan, Brownell, Elizabeth, Nangia, Vinay, Talozi, Samer, Winter, Amos

“…In addition, the insights gained from the field trials were formed into design requirements for future iterations of the model. These include optimizing for the system life cycle cost, as opposed to capital cost, the ability to simulate the system operation over a season, the capability to input a user’s irrigation schedule, incorporating locally-available components, and incorporating a system reliability constraint based on more detailed agronomic calculations.…”
Get full text

Knock-on deuteron imaging for diagnosing the morphology of an ICF implosion at OMEGA by Kunimune, JH, Rinderknecht, HG, Adrian, PJ, Heuer, PV, Regan, SP, Séguin, FH, Gatu Johnson, M, Bahukutumbi, RP, Knauer, JP, Bachmann, BL, Frenje, JA

“…Data from these experiments are presented here, along with novel analysis techniques that iteratively reconstruct the deuteron source from the data. …”
Get full text

Pareto Adaptive Robust Optimality via a Fourier–Motzkin Elimination lens by Bertsimas, Dimitris, ten Eikelder, Stefan C. M., den Hertog, Dick, Trichakis, Nikolaos

“…Amongst others, we present a constraint & column generation method that produces a PARO solution for the considered two-stage ARO problems by iteratively improving upon a worst-case optimal solution. …”
Get full text

Design and Evaluation of an Automatic Scheduling-Manual Operation Tool to Bring Precision Irrigation to Resource-Constrained Farmers by Van de Zande, Georgia D, Sheline, Carolyn, Amrose, Susan, Costello, Jeffrey, Ghodgaonkar, Aditya, Grant, Fiona, Winter, Amos G

“…Interviewees provided feedback on how to improve the tool’s design in future iterations. If adopted at scale, this AS-MO tool could increase efficiency on farms that otherwise cannot afford current precision irrigation technology, improving sustainable agriculture worldwide.…”
Get full text

CRISPR-Cas9 knockout screen informs efficient reduction of the Komagataella phaffii secretome by Dalvie, Neil C., Lorgeree, Timothy R., Yang, Yuchen, Rodriguez-Aponte, Sergio A., Whittaker, Charles A., Hinckley, Joshua A., Clark, John J., Del Rosario, Amanda M., Love, Kerry R., Love, J. C.

“…We then used predicted gene essentiality to guide iterative disruptions of up to 11 non-essential genes. …”
Get full text

Message Passing for Maximum Weight Independent Set by Sanghavi, Sujay, Shah, Devavrat, Willsky, Alan S.

“…This result is obtained via a direct analysis of the iterative algorithm, and cannot be obtained by looking only at fixed points. …”
Get full text
Get full text
Get full text

An Efficient Message-Passing Algorithm for Optimizing Decentralized Detection Networks by Kreidl, Olivier Patrick, Willsky, Alan S.

“…Existing team theory establishes when necessary optimality conditions reduce to a convergent iterative algorithm to be executed offline (i.e., before measurements are processed). …”
Get full text
Get full text

Coupled Sea Ice–Ocean-State Estimation in the Labrador Sea and Baffin Bay by Fenty, Ian, Heimbach, Patrick

“…Model and data are made consistent, in a least squares sense, by iteratively adjusting control variables, including ocean initial and lateral boundary conditions and the atmospheric state, to minimize an uncertainty-weighted model–data misfit cost function. …”
Get full text
Get full text

RF-compass: Robot object manipulation using RFIDs by Wang, Jue, Katabi, Dina, Adib, Fadel M., Knepper, Ross A., Rus, Daniela L.

“…RF-Compass's key innovation is an iterative algorithm formulated as a convex optimization problem. …”
Get full text
Get full text
Get full text
Get full text

A Space-Time Petrov--Galerkin Certified Reduced Basis Method: Application to the Boussinesq Equations by Yano, Masayuki

“…The latter are based, respectively, on a more round-off resistant residual norm evaluation procedure, a variant of the successive constraint method, and a time-marching implementation of a fixed-point iteration of the embedding constant for the discontinuous Galerkin norm. …”
Get full text
Get full text

Fluctuating volume-current formulation of electromagnetic fluctuations in inhomogeneous media: Incandescence and luminescence in arbitrary geometries by Polimeridis, Athanasios G., Jin, Weiliang, Johnson, Steven G., White, Jacob K., Rodriguez, Alejandro W., Reid, M. T. Homer

“…We demonstrate that thanks to the low-rank properties of the associated matrices, these formulas are susceptible to fast-trace computations based on iterative methods, making practical calculations tractable. …”
Get full text
Get full text
Get full text

Structural optimization and parametric study of offshore wind turbine jacket substructure by Tai, Kang, Muskulus, Michael, Zwick, Daniel, Ng, E. Y. K., Chew, Kok Hon

“…By comparing against the reference model, the three-legged designs were iteratively optimized to obtain Pareto optimal designs (with lowest material consumption). …”
Get full text
Get full text
Get full text