Research output per year
Research output per year
Research output
- 1 - 50 out of 3,007 results
Search results
-
2024
A needle-form 3-omega sensor for thermal characterization of cryopreserved biological tissues
Alliston, S. P. & Dames, C. E., 2024, In: Journal of Physics: Conference Series. 2766, 1, 012190.Research output: Contribution to journal › Conference article › peer-review
Open Access -
BBScore: A Brownian Bridge Based Metric for Assessing Text Coherence
Sheng, Z., Zhang, T., Jiang, C. & Kang, D., Mar 25 2024, In: Proceedings of the AAAI Conference on Artificial Intelligence. 38, 13, p. 14937-14945 9 p.Research output: Contribution to journal › Conference article › peer-review
Open Access -
Better Batch for Deep Probabilistic Time Series Forecasting
Zheng, V. Z., Choi, S. & Sun, L., 2024, In: Proceedings of Machine Learning Research. 238, p. 91-99 9 p.Research output: Contribution to journal › Conference article › peer-review
-
Binding Contexts as Partitionable Multisets in Abella
Gray, T. & Nadathur, G., Jul 8 2024, In: Electronic Proceedings in Theoretical Computer Science, EPTCS. 404, p. 19-34 16 p.Research output: Contribution to journal › Conference article › peer-review
Open Access -
Everything You Always Wanted to Know About Storage Compressibility of Pre-Trained ML Models but Were Afraid to Ask
Su, Z., Ahmed, A., Wang, Z., Anwar, A. & Cheng, Y., 2024, In: Proceedings of the VLDB Endowment. 17, 8, p. 2036-2049 14 p.Research output: Contribution to journal › Conference article › peer-review
Open Access -
Fair Graph Learning Using Constraint-Aware Priority Adjustment and Graph Masking in River Networks
He, E., Xie, Y., Sun, A., Zwart, J., Yang, J., Jin, Z., Wang, Y., Karimi, H. & Jia, X., Mar 25 2024, In: Proceedings of the AAAI Conference on Artificial Intelligence. 38, 20, p. 22087-22095 9 p.Research output: Contribution to journal › Conference article › peer-review
Open Access -
Inference of nonlinear causal effects with application to TWAS with GWAS summary data
Dai, B., Li, C., Xue, H., Pan, W. & Shen, X., 2024, In: Proceedings of Machine Learning Research. 236, p. 793-826 34 p.Research output: Contribution to journal › Conference article › peer-review
-
Information Theoretically Optimal Sample Complexity of Learning Dynamical Directed Acyclic Graphs
Shaikh Veedu, M., Deka, D. & Salapaka, M. V., 2024, In: Proceedings of Machine Learning Research. 238, p. 4636-4644 9 p.Research output: Contribution to journal › Conference article › peer-review
-
Krylov Cubic Regularized Newton: A Subspace Second-Order Method with Dimension-Free Convergence Rate
Jiang, R., Raman, P., Sabach, S., Mokhtari, A., Hong, M. & Cevher, V., 2024, In: Proceedings of Machine Learning Research. 238, p. 4411-4419 9 p.Research output: Contribution to journal › Conference article › peer-review
-
MANAGING FIGURE AND GROUND IN MATHEMATICS DISCOURSE
Staats, S., Halpert, C. & Kasahara, A., 2024, In: Proceedings of the International Group for the Psychology of Mathematics Education. 1, p. 293 1 p.Research output: Contribution to journal › Conference article › peer-review
-
Marrying Asset- and Deficit-Based Approaches: A Data Feminist Perspective in Learning Analytics
Stewart, A., Mills, C. & Hutt, S., 2024, In: CEUR Workshop Proceedings. 3667, p. 292-294 3 p.Research output: Contribution to journal › Conference article › peer-review
-
MATHEMATICAL KNOWLEDGE FOR TEACHING COLLEGE ALGEBRA AT COMMUNITY COLLEGES
Mesa, V., Ko, I., Duranczyk, I., Kimani, P., Watkins, L., Lim, D., Beisiegel, M., Ström, A. & Akoto, B., 2024, In: Proceedings of the International Group for the Psychology of Mathematics Education. 3, p. 233-240 8 p.Research output: Contribution to journal › Conference article › peer-review
-
Meta-Crafting: Improved Detection of Out-of-Distributed Texts via Crafting Metadata Space
Koo, R., Kim, Y., Kang, D. & Kim, J., Mar 25 2024, In: Proceedings of the AAAI Conference on Artificial Intelligence. 38, 21, p. 23548-23549 2 p.Research output: Contribution to journal › Conference article › peer-review
Open Access -
POETIC METHODS IN MATHEMATICS EDUCATION
Hare, A., Helme, R. & Staats, S., 2024, In: Proceedings of the International Group for the Psychology of Mathematics Education. 1, p. 88-89 2 p.Research output: Contribution to journal › Conference article › peer-review
-
RELATIONALITY IN PRODUCTIVE STRUGGLE: A SOMALI ALGEBRA CONVERSATION
Staats, S., Halpert, C., Kasahara, A., Posson, E. & Ahmed, F., 2024, In: Proceedings of the International Group for the Psychology of Mathematics Education. 4, p. 129-136 8 p.Research output: Contribution to journal › Conference article › peer-review
-
Sparcle: Boosting the Accuracy of Data Cleaning Systems through Spatial Awareness
Huang, Y. & Mokbel, M. F., 2024, In: Proceedings of the VLDB Endowment. 17, 9, p. 2349-2362 14 p.Research output: Contribution to journal › Conference article › peer-review
-
The effect of Leaky ReLUs on the training and generalization of overparameterized networks
Guo, Y., Li, S. & Lerman, G., 2024, In: Proceedings of Machine Learning Research. 238, p. 4393-4401 9 p.Research output: Contribution to journal › Conference article › peer-review
-
Theory of electric dipole moments
Ema, Y., Gao, T. & Pospelov, M., Feb 1 2024, In: Proceedings of Science. 431, 049.Research output: Contribution to journal › Conference article › peer-review
-
2023
A Bayesian Approach to Robust Inverse Reinforcement Learning
Wei, R., Zeng, S., Li, C., Garcia, A., McDonald, A. & Hong, M., 2023, In: Proceedings of Machine Learning Research. 229Research output: Contribution to journal › Conference article › peer-review
-
A Computational Framework for EEG Causal Oscillatory Connectivity
Rawls, E., Gilmore, C., Kummerfeld, E., Lim, K. & Nienow, T., 2023, In: Proceedings of Machine Learning Research. 223, p. 52-68 17 p.Research output: Contribution to journal › Conference article › peer-review
-
An Implicit Gradient Method for Constrained Bilevel Problems Using Barrier Approximation
Tsaknakis, I., Khanduri, P. & Hong, M., 2023, In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings.Research output: Contribution to journal › Conference article › peer-review
1 Scopus citations -
Annotation Imputation to Individualize Predictions: Initial Studies on Distribution Dynamics and Model Predictions
Lowmanstone, L., Wan, R., Owan, R., Kim, J. & Kang, D., 2023, In: CEUR Workshop Proceedings. 3494Research output: Contribution to journal › Conference article › peer-review
-
An Unpooling Layer for Graph Generation
Guo, Y., Zou, D. & Lerman, G., 2023, In: Proceedings of Machine Learning Research. 206, p. 3179-3209 31 p.Research output: Contribution to journal › Conference article › peer-review
-
A Unified Detection Framework for Inference-Stage Backdoor Defenses
Xian, X., Wang, G., Srinivasa, J., Kundu, A., Bi, X., Hong, M. & Ding, J., 2023, In: Advances in Neural Information Processing Systems. 36Research output: Contribution to journal › Conference article › peer-review
1 Scopus citations -
Automated Neural Nursing Assistant (ANNA): An Over-The-Phone System for Cognitive Monitoring
Solinsky, J. C., Finzel, R. L., Michalowski, M. & Pakhomov, S., 2023, In: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. 2023-August, p. 684-685 2 p.Research output: Contribution to journal › Conference article › peer-review
-
Demystifying the Optimal Performance of Multi-Class Classification
Jeong, M., Cardone, M. & Dytso, A., 2023, In: Advances in Neural Information Processing Systems. 36Research output: Contribution to journal › Conference article › peer-review
1 Scopus citations -
Development of a Heavy-Duty Electric Vehicle Integration and Implementation (HEVII) Tool
Badheka, A., Eagon, M. J., Fakhimi, S., Wiringa, P., Miller, E., Kotz, A. & Northrop, W., Apr 11 2023, In: SAE Technical Papers.Research output: Contribution to journal › Conference article › peer-review
-
Enhancing Sharpness-Aware Optimization Through Variance Suppression
Li, B. & Giannakis, G. B., 2023, In: Advances in Neural Information Processing Systems. 36Research output: Contribution to journal › Conference article › peer-review
1 Scopus citations -
Fast Scalable and Accurate Discovery of DAGs Using the Best Order Score Search and Grow-Shrink Trees
Andrews, B., Ramsey, J., Sánchez-Romero, R., Camchong, J. & Kummerfeld, E., 2023, In: Advances in Neural Information Processing Systems. 36Research output: Contribution to journal › Conference article › peer-review
3 Scopus citations -
Feasibility of Using an Armband Optical Heart Rate Sensor in Naturalistic Environment
Yu, H., Kotlyar, M., Dufresne, S. R., Thuras, P. D. & Pakhomov, S., 2023, In: Pacific Symposium on Biocomputing. 2023, p. 43-54 12 p.Research output: Contribution to journal › Conference article › peer-review
Open Access -
FedAvg Converges to Zero Training Loss Linearly for Overparameterized Multi-Layer Neural Networks
Song, B., Khanduri, P., Zhang, X., Yi, J. & Hong, M., 2023, In: Proceedings of Machine Learning Research. 202, p. 32304-32330 27 p.Research output: Contribution to journal › Conference article › peer-review
2 Scopus citations -
Functional and Inclusive Personal Protective Equipment (PPE) Pant Anthropometric Needs for Blueprint Development
Sokolowski, S. L. & Griffin, L., 2023, In: Proceedings of the Human Factors and Ergonomics Society. 67, 1, p. 812-815 4 p.Research output: Contribution to journal › Conference article › peer-review
-
Generalized-Smooth Nonconvex Optimization is As Efficient As Smooth Nonconvex Optimization
Chen, Z., Zhou, Y., Liang, Y. & Lu, Z., 2023, In: Proceedings of Machine Learning Research. 202, p. 4953-5001 49 p.Research output: Contribution to journal › Conference article › peer-review
-
InfiniStore: Elastic Serverless Cloud Storage
Zhang, J., Newman, N. J., Wang, A., Anwar, A., Skourtis, D., Ma, X., Rupprecht, L., Yan, F., Cheng, Y., Carver, B. & Tarasov, V., 2023, In: Proceedings of the VLDB Endowment. 16, 7, p. 1629-1642 14 p.Research output: Contribution to journal › Conference article › peer-review
Open Access3 Scopus citations -
Initial Development of a Physics-Aware Machine Learning Framework for Soot Mass Prediction in Gasoline Direct Injection Engines
Jayaprakash, B., Wilmer, B. M. & Northrop, W. F., 2023, In: SAE Technical Papers.Research output: Contribution to journal › Conference article › peer-review
-
Innovation in Respirator Design, Research, & Protection: A model of predictive fit for occupational safety and health.
Griffin, L., Yu, M., Sokolowski, S., Arnold, S. & Durfee, W. K., 2023, In: Proceedings of the Human Factors and Ergonomics Society. 67, 1, p. 821 1 p.Research output: Contribution to journal › Conference article › peer-review
-
Kamel: A Scalable BERT-based System for Trajectory Imputation
Musleh, M. & Mokbel, M. F., 2023, In: Proceedings of the VLDB Endowment. 17, 3, p. 523-538 16 p.Research output: Contribution to journal › Conference article › peer-review
3 Scopus citations -
Knowledge Sheaves: A Sheaf-Theoretic Framework for Knowledge Graph Embedding
Gebhart, T., Hansen, J. & Schrater, P., 2023, In: Proceedings of Machine Learning Research. 206, p. 9094-9116 23 p.Research output: Contribution to journal › Conference article › peer-review
-
Linearly Constrained Bilevel Optimization: A Smoothed Implicit Gradient Approach
Khanduri, P., Tsaknakis, I., Zhang, Y., Liu, J., Liu, S., Zhang, J. & Hong, M., 2023, In: Proceedings of Machine Learning Research. 202, p. 16291-16325 35 p.Research output: Contribution to journal › Conference article › peer-review
-
PILOT STUDY UNDERSTANDING STUDENTS' PERCEPTIONS OF FAILURE IN PRODUCT DESIGN
Lauff, C. A., Friesen, A. & Menold, J., 2023, In: Proceedings of the Design Society. 3, p. 2895-2904 10 p.Research output: Contribution to journal › Conference article › peer-review
Open Access -
Practical Phase Retrieval Using Double Deep Image Priors
Zhuang, Z., Yang, D., Hofmann, F., Barmherzig, D. A. & Sun, J., 2023, In: IS and T International Symposium on Electronic Imaging Science and Technology. 35, 14, 153.Research output: Contribution to journal › Conference article › peer-review
Open Access1 Scopus citations -
Prefer to Classify: Improving Text Classifiers via Auxiliary Preference Learning
Kim, J., Shin, J. & Kang, D., 2023, In: Proceedings of Machine Learning Research. 202, p. 16807-16828 22 p.Research output: Contribution to journal › Conference article › peer-review
-
Prioritizing learning objectives for chemical engineering laboratory courses
Wilson, S. A., Azarin, S. A., Barr, C., Beckwith, J. K., Brennan, J., Carter, T. L. & Karlsson, A. J., Jun 25 2023, In: ASEE Annual Conference and Exposition, Conference Proceedings.Research output: Contribution to journal › Conference article › peer-review
2 Scopus citations -
PROTOTYPING FOR CHILDREN: UNDERSTANDING HOW FIDELITY AFFECTS CHILDREN'S COMPREHENSION OF PROTOTYPES
Codner, A. C. & Lauff, C. A., 2023, In: Proceedings of the Design Society. 3, p. 3005-3014 10 p.Research output: Contribution to journal › Conference article › peer-review
Open Access -
Provably Manipulable 3D Structures using Graph Theory
Harwell, J. R., Lowmanstone, L. & Gini, M., 2023, In: Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS. 2023-May, p. 2550-2552 3 p.Research output: Contribution to journal › Conference article › peer-review
-
Random Projector: Efficient Deep Image Prior
Li, T., Zhuang, Z., Wang, H. & Sun, J., 2023, In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings.Research output: Contribution to journal › Conference article › peer-review
1 Scopus citations -
Robust Quickest Change Detection for Unnormalized Models
Wu, S., Diao, E., Banerjee, T., Ding, J. & Tarokh, V., 2023, In: Proceedings of Machine Learning Research. 216, p. 2314-2323 10 p.Research output: Contribution to journal › Conference article › peer-review
2 Scopus citations -
Robust Variational Autoencoding with Wasserstein Penalty for Novelty Detection
Lai, C. H., Zou, D. & Lerman, G., 2023, In: Proceedings of Machine Learning Research. 206, p. 3538-3567 30 p.Research output: Contribution to journal › Conference article › peer-review
4 Scopus citations -
Score-based Quickest Change Detection for Unnormalized Models
Wu, S., Diao, E., Banerjee, T., Ding, J. & Tarokh, V., 2023, In: Proceedings of Machine Learning Research. 206, p. 10546-10565 20 p.Research output: Contribution to journal › Conference article › peer-review
-
Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning
Zhang, Y., Zhang, Y., Chen, A., Jia, J., Liu, J., Liu, G., Hong, M., Chang, S. & Liu, S., 2023, In: Advances in Neural Information Processing Systems. 36Research output: Contribution to journal › Conference article › peer-review