M. Clara De Paolis Kaluza [CV]

I'm a PhD student at Northeastern University's College of Computer and Information Science working with Rose Yu. My research interests are in structured prediction, geometric deep learning, video understanding, and summarization, representation, and generation of structured data I've worked on applications in computer vision, medical image processing, graphical models to model environmental contamination, and projects on network behavior in computational biology and in economics.

Recent News

December 2018 My co-authors and I are heading to NeurIPS 2018 in Montreal to present our paper A Neural Framework for Learning DAG to DAG Translation at the relational representation learning workshop.

May 2018 I'm excited to be working as a Research Intern at Microsoft this summer working on graph-to-graph translation models!

April 2018 I had the great opportunity to attend the CRA-W Grad Cohort in San Francisco along with my fellow CCIS PhD students Lucianna Kiffer and Everlyne Kimani. We were featured in this story in CCIS news:
CCIS students inspired by conference for graduate women in computing, Erica Yee, CCIS News, June 20, 2018.


A Neural Framework for Learning DAG to DAG Translation
M. Clara De Paolis Kaluza, Saeed Amizadeh, Rose Yu.
Neural Information Processing Systems, relational representation learning workshop, 2018.
[pdf] [bibtex] [poster]

Subset Selection for Sequential Data
Ehsan Elhamifar, M. Clara De Paolis Kaluza.
Advances in Neural Information Processing Systems, 2017.
[pdf] [bibtex] [poster]

Online Subset Selection via Submodular and Convex Optimization
Ehsan Elhamifar, M. Clara De Paolis Kaluza.
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
[pdf] [bibtex]

Incorporation of CT-based measurements of trunk anatomy into subject-specific musculoskeletal models of the spine influences vertebral loading predictions
Alexander G Bruno, Hossein Mokhtarzadeh, Brett T Allaire, Kelsey R Velie, M. Clara De Paolis Kaluza, Dennis E Anderson, Mary L Bouxsein.
Journal of Orthopaedic Research, 2017.

Evaluation of a new approach to compute intervertebral disc height measurements from lateral radiographic views of the spine
Brett T Allaire, M. Clara De Paolis Kaluza, Alexander G Bruno, Elizabeth J Samelson, Douglas P Kiel, Dennis E Anderson, Mary L Bouxsein.
European Spine Journal, 2016.

Markov Random Field Models for Quantifying Uncertainty in Subsurface Remediation
M. Clara De Paolis Kaluza, Eric L. Miller, Linda M. Abriola.
In IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2015.


Security Scan for OpenStack
M. Clara De Paolis Kaluza, Dilip Makwana, Hao Wu, Chi Zhang.
CS 6620 Fundamentals of Cloud Computing, Spring 2018, Northeastern University.

Subset Selection for Subspace Clustering
M. Clara De Paolis Kaluza.
EECE 7370 Advanced Computer Vision Final Project , Sprint 2017, Northeastern University.

Recommender System for Yelp Dataset Using Matrix Factorization Methods
M. Clara De Paolis Kaluza.
CS 6220 Data Mining Techniques Final Project , Fall 2016, Northeastern University.
[slides] [report] [code]

Estimating the Fundamental Matrix of a Random Walk Transition Matrix
M. Clara De Paolis Kaluza.
Math 250 Graph Algorithms Final Project, Spring 2016, Tufts University.
[report- coming soon]

Content-Aware Video-Frame Resizing Using Seam Carving
M. Clara De Paolis Kaluza, Sutawat Poomcharoenwatana .
ECE 520 Digital Image Processing and Communication Final Project, Fall 2009, Boston University.


PhD Network Travel Grant
2018, Travel grant to attend the 2018 NeurIPS conference, Northeastern University PhD Network.
GHC 18 Student Scholarship
2018, Scholarship to attend the 2018 Grace Hopper Celebration, AnitaB.org
Graduate Fellowship
Fall 2016, Graduate School of the College of Computer and Information Science, Northeastern University.
Eta Kappa Nu member, IEEE Honor Society
2016, Tufts Univerisity chapter.
Latino Achievement Award
October 2012, Beth Israel Deaconess Medical Center.