64 results on '"Joshua T Vogelstein"'
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2. Polarity is all you need to learn and transfer faster.
3. Learning sources of variability from high-dimensional observational studies.
4. Approximately optimal domain adaptation with Fisher's Linear Discriminant Analysis.
5. Why Do Networks Need Negative Weights?
6. The Value of Out-of-Distribution Data.
7. Out-of-distribution Detection Using Kernel Density Polytopes.
8. Prospective Learning: Back to the Future.
9. Dynamic Silos: Modularity in intra-organizational communication networks before and during the Covid-19 pandemic.
10. Streaming Decision Trees and Forests.
11. Federated Causal Inference in Heterogeneous Observational Data.
12. Graph Matching via Optimal Transport.
13. When are Deep Networks really better than Random Forests at small sample sizes?
14. Towards a theory of out-of-distribution learning.
15. Fitting Splines to Axonal Arbors Quantifies Relationship between Branch Order and Geometry.
16. A partition-based similarity for classification distributions.
17. A New Age of Computing and the Brain.
18. mvlearn: Multiview Machine Learning in Python.
19. A general approach to progressive intelligence.
20. PACSET (Packed Serialized Trees): Reducing Inference Latency for Tree Ensemble Deployment.
21. Robust Similarity and Distance Learning via Decision Forests.
22. Learning to rank via combining representations.
23. AutoGMM: Automatic Gaussian Mixture Modeling in Python.
24. The Chi-Square Test of Distance Correlation.
25. GraSPy: Graph Statistics in Python.
26. Manifold Forests: Closing the Gap on Neural Networks.
27. Vertex Classification on Weighted Networks.
28. Graphyti: A Semi-External Memory Graph Library for FlashGraph.
29. Inference for multiple heterogeneous networks with a common invariant subspace.
30. A Consistent Independence Test for Multivariate Time-Series.
31. Estimating Information-Theoretic Quantities with Random Forests.
32. Geodesic Learning via Unsupervised Decision Forests.
33. clusterNOR: A NUMA-Optimized Clustering Framework.
34. The Exact Equivalence of Independence Testing and Two-Sample Testing.
35. mgcpy: A Comprehensive High Dimensional Independence Testing Python Package.
36. On a 'Two Truths' Phenomenon in Spectral Graph Clustering.
37. Forest Packing: Fast, Parallel Decision Forests.
38. Decision Forests Induce Characteristic Kernels.
39. The Exact Equivalence of Distance and Kernel Methods for Hypothesis Testing.
40. Joint Embedding of Graphs.
41. Energy Clustering.
42. Deformably Registering and Annotating Whole CLARITY Brains to an Atlas via Masked LDDMM.
43. Probabilistic Fluorescence-Based Synapse Detection.
44. Quantifying mesoscale neuroanatomy using X-ray microtomography.
45. An SSD-based eigensolver for spectral analysis on billion-node graphs.
46. FlashMatrix: Parallel, Scalable Data Analysis with Generalized Matrix Operations using Commodity SSDs.
47. NUMA-optimized In-memory and Semi-external-memory Parameterized Clustering.
48. Semi-External Memory Sparse Matrix Multiplication on Billion-node Graphs in a Multicore Architecture.
49. A Diffeomorphic Approach to Multimodal Registration with Mutual Information: Applications to CLARITY Mouse Brain Images.
50. Randomer Forests.
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