Meng |
Xiaoxu |
2020 |
Enhancing Visual and Gestural Fidelity for Effective Virtual Environments |
Amitabh Varshney |
Li |
Tongyang |
2020 |
Quantum algorithms for machine learning and optimization |
Andrew Childs |
Su |
Yuan |
2020 |
Algorithms for quantum simulation: design, analysis, implementation, and application |
Andrew Childs |
Kang |
Seokbin |
2020 |
AUGMENTED REALITY SYSTEMS AND USER INTERACTION TECHNIQUES FOR STEM LEARNING |
David Jacobs |
Votipka |
Daniel |
2020 |
A Human-Centric Approach to Software Vulnerability Discovery |
Michelle Mazurek |
Suciu |
Octavian |
2021 |
Data-Driven Techniques For Vulnerability Assessments |
Tudor Dumitras |
Zakeri |
Mohsen |
2021 |
OPTIMIZING THE ACCURACY OF LIGHTWEIGHT METHODS FOR SHORT READ ALIGNMENT AND QUANTIFICATION |
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Patkar |
Sushant |
2021 |
Fantastic Sources Of Tumor Heterogeneity And How To Characterize Them |
Soheil Feizi |
Taha |
Ahmed |
2021 |
Closing the Gap Between Classification and Retrieval Models |
Larry Davis |
Fu |
Hong Hao |
2021 |
THE MEMBERSHIP PROBLEM FOR CONSTANT-SIZED QUANTUM CORRELATIONS IS UNDECIDABLE |
Andrew Childs |
Ahmadi |
Saba |
2021 |
Social Aspects of Algorithms: Fairness, Diversity, and Resilience to Strategic Behavior |
Samir Khuller |
Robinson |
Wells |
2021 |
Computational methods for the identification of mutation signatures and intracellular microbes in cancer |
Max Leiserson |
Gong |
Huijing |
2021 |
Improved Robustness and Versatility of Lattice-Based Cryptography |
Dana Dachman-Soled |
Sun |
Xuetong |
2021 |
Towards Effective Displays for Virtual and Augmented Reality |
Amitabh Varshney |
Shah |
Nidhi |
2021 |
Data-driven algorithms for characterizing microbial communities |
Mihai Pop |
Feng |
Shi |
2021 |
Towards Human-AI Cooperation on Sequential Decision Making Problems |
Jordan Boyd-Graber |
Stevens |
Rock |
2021 |
Optimizing Proactive Measures for Security Operations |
Michelle Mazurek |
Hong |
Jonggi |
2021 |
Exploring Blind and Sighted Users’ Interactions With Error-Prone Speech and Image Recognition |
Hernisa Kacorri |
Saadatpanah |
Parsa |
2021 |
Adversarial Machine Learning in the Wild |
Tom Goldstein |
Sayed |
Mahmoud |
2021 |
Search Among Sensitive Content |
Doug Oard |
Schoute |
Eddie |
2021 |
Quantum routing for architecture-respecting circuit transformations |
Andrew Childs |
Schwarcz |
Steven Alexander |
2021 |
Deep Video Analytics of Humans: From Action Recognition to Forgery Detection |
Rama Chellappa |
Bock |
Kevin |
2022 |
Automating the Discovery of Censorship Evasion Strategies |
Dave Levin |
Yuan |
Michelle |
2022 |
Transfer Learning in Natural Language Processing through Interactive Feedback |
Jordan Boyd-Graber |
Curry |
Michael Jeremiah |
2022 |
Learning and Robustness With Applications To Mechanism Design |
John Dickerson, Tom Goldstein |
Zhu |
Chen |
2022 |
Towards Reliable and Efficient Representation Learning |
Tom Goldstein |
Brantley |
Kiante |
2022 |
EXPERT-IN-THE-LOOP FOR SEQUENTIAL DECISIONS AND PREDICTIONS |
Hal Daumé III |
Curry |
Michael Jeremiah |
2022 |
Learning and Robustness With Applications To Mechanism Design |
John Dickerson, Tom Goldstein |
Bhattacharya |
Uttaran |
2022 |
Affective Human Motion Detection and Synthesis |
Dinesh Manocha |
Chakrabarti |
Shouvanik |
2022 |
Quantum Computing for Optimization and Machine Learning |
Xiaodi Wu |
Flores Velazco |
Alejandro |
2022 |
Algorithms and Data Structures for Faster Nearest-Neighbor Classification |
David Mount |
Ghiasi |
Mohammad Amin |
2022 |
ROBUSTNESS AND UNDERSTANDABILITY OF DEEP MODELS |
Tom Goldstein |
Chandra |
Rohan |
2022 |
TOWARDS AUTONOMOUS DRIVING IN DENSE, HETEROGENEOUS, AND UNSTRUCTURED TRAFFIC |
Dinesh Manocha |
Goldberg |
Matthew David |
2022 |
Time-Situated Metacognitive Agency and Other Aspects of Commonsense Reasoning |
Don Perlis |
Lee |
Kyungjun |
2022 |
Egocentric Vision in Assistive Technologies For and By the Blind |
Hernisa Kacorri |
Davis |
Gregory Patrick |
2022 |
A NEUROCOMPUTATIONAL MODEL OF CAUSAL REASONING AND COMPOSITIONAL WORKING MEMORY FOR IMITATION LEARNING |
James Reggia |
Hietala |
Kesha |
2022 |
A Verified Software Toolchain for Quantum Programming |
Michael Hicks |
Singhal |
Swati |
2022 |
A FLEXIBLE APPROACH FOR ORCHESTRATING ADAPTIVE SCIENTIFIC WORKFLOWS FOR SCALABLE COMPUTING |
Alan Sussman |
Ehrlich |
Max Donohue |
2022 |
The First Principles of Deep Learning and Compression |
Larry Davis, Abhinav Shrivastava |
Ismail |
Aya Abdelsalam |
2022 |
Interpretable Deep Learning for Time Series |
Soheil Feizi |
Tsepenekas |
Leonidas |
2022 |
On Algorithmic Fairness and Stochastic Models for Combinatorial Optimization and Unsupervised Machine Learning |
Aravind Srinivasan |
Ehrlich |
Max Donohue |
2022 |
The First Principles of Deep Learning and Compression |
Larry Davis, Abhinav Shrivastava |
Javkar |
Kiran Gajanan |
2022 |
Algorithms for scalable and efficient population genomics and metagenomics |
Mihai Pop |
Zeng |
Zehua |
2022 |
A Multi-Faceted Approach for Evaluating Visualization Recommendation Algorithms |
Leilani Battle |
Farhadi |
Alireza |
2022 |
Memory-Restricted and Secure Algorithms For Large Datasets |
Mohammad Hajiaghayi |
Li |
Hengduo |
2022 |
Effective Training and Efficient Inference of Deep Neural Networks for Visual Understanding |
Larry Davis |
Lan |
Shiyi |
2022 |
Object Detection and Instance Segmentation for Real-world Applications |
Larry Davis |
Meshry |
Moustafa Mahmoud |
2022 |
Neural Rendering Techniques for Photo-realistic Image Generation and Novel View Synthesis |
Abhinav Shrivastava, Larry Davis |
Liao |
Gang |
2022 |
The Evolution of Cloud Data Architectures: Storage, Compute, and Migration |
Daniel Abadi |
Meshry |
Moustafa Mahmoud |
2022 |
Neural Rendering Techniques for Photo-realistic Image Generation and Novel View Synthesis |
Abhinav Shrivastava, Larry Davis |