114 citations · 220 across the 9 of their papers we have counts for
9 papers
Evaluating Machine Learning Models with NERO: Non-Equivariance Revealed on Orbits
Zhuokai Zhao, Takumi Matsuzawa, William Irvine +2
Proper evaluations are crucial for better understanding, troubleshooting, interpreting model behaviors and further improving model performance. While using scalar-based error metri…
Comparing and Combining Approximate Computing Frameworks
Saeid Barati, Gordon Kindlmann, Hank Hoffmann
Approximate computing frameworks configure applications so they can operate at a range of points in an accuracy-performance trade-off space. Prior work has introduced many framewor…
Surfacing Visualization Mirages
Andrew McNutt, Gordon Kindlmann, Michael Correll
Dirty data and deceptive design practices can undermine, invert, or invalidate the purported messages of charts and graphs. These failures can arise silently: a conclusion derived…
Point Movement in a DSL for Higher-Order FEM Visualization
Teodoro Collin, Charisee Chiw, L. Ridgway Scott +2
Scientific visualization tools tend to be flexible in some ways (e.g., for exploring isovalues) while restricted in other ways, such as working only on regular grids, or only on un…
An Adaptive Savitsky-Golay Filter for Smoothing Finite Element Computation
Teodoro Collin, Gordon Kindlmann, L. Ridgway Scott
The smoothing technique of Savitzky and Golay is extended to data defined on multidimensional meshes. A smoothness-increasing accuracy-conserving (SIAC) filter is defined that is s…
Compiling Diderot: From Tensor Calculus to C
Charisee Chiw, Gordon L. Kindlmann, John Reppy
Diderot is a parallel domain-specific language for analysis and visualization of multidimensional scientific images, such as those produced by CT and MRI scanners. In particular, i…
An exploration to visualize finite element data with a DSL
Charisee Chiw, Gordon Kindlmann, John Reppy
The scientific community use PDEs to model a range of problems. The people in this domain are interested in visualizing their results, but existing mechanisms for visualization can…
Helicity conservation by flow across scales in reconnecting vortex links and knots
Martin W. Scheeler, Dustin Kleckner, Davide Proment +2
The conjecture that helicity (or knottedness) is a fundamental conserved quantity has a rich history in fluid mechanics, but the nature of this conservation in the presence of diss…
Fuzzy Fibers: Uncertainty in dMRI Tractography
Thomas Schultz, Anna Vilanova, Ralph Brecheisen +1
Fiber tracking based on diffusion weighted Magnetic Resonance Imaging (dMRI) allows for noninvasive reconstruction of fiber bundles in the human brain. In this chapter, we discuss…