|
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 |
|
Terry |
Jordan Kirby |
2023 |
Multi-Agent Reinforcement Learning: Systems for Evaluation and Applications to Complex Systems |
John Dickerson |
|
Mittal |
Trisha |
2023 |
Towards Multimodal and Context-Aware Emotion Perception |
Dinesh Manocha |
|
Kumar |
Aounon |
2023 |
Extending The Scope Of Provable Adversarial Robustness In Machine Learning |
Soheil Feizi, Tom Goldstein |
|
Xu |
Weijia |
2023 |
Stronger Inductive Biases for Sample-Efficient and Controllable Neural Machine Translation |
Marine Carpuat |
|
Tan |
Qingyang |
2023 |
Learning-based Physics Simulation with Collision Handling |
Dinesh Manocha |
|
Mathur |
Puneet |
2023 |
Document Information Extraction, Structure Understanding And Manipulation |
Dinesh Manocha |
|
Barrow |
Joseph Dacosta Albert |
2023 |
Structural Scaffolding for Sensemaking in Document Collections |
Philip Resnik, Doug Oard |
|
You |
Xuchen |
2023 |
Optimization Problems in Quantum Machine Learning |
Xiaodi Wu |
|
Goel |
Pranav |
2023 |
ANALYZING COMMUNICATIVE CHOICES TO UNDERSTAND THEIR MOTIVATIONS, CONTEXT-BASED VARIATION, AND SOCIAL CONSEQUENCES |
Philip Resnik |
|
Rodrigues |
Nishant |
2023 |
Improved Algorithms And Primitives For Quantum Cryptography |
Andrew Childs
Brad Lackey |
|
Barrow |
Joseph Dacosta Albert |
2023 |
Structural Scaffolding for Sensemaking in Document Collections |
Philip Resnik, Doug Oard |
|
Zhu |
Shaopeng |
2023 |
Applications of Graph Theory and Logic in Computer Science |
William Gasarch
Michael Laskowski |
|
Briakou |
Eleftheria |
2023 |
DETECTING FINE-GRAINED SEMANTIC DIVERGENCES TO IMPROVE TRANSLATION UNDERSTANDING ACROSS LANGUAGES |
Marine Carpuat |
|
Rowden |
Alexander |
2023 |
Immersive Visual Analytics Of Wi-Fi Signal Propagation And Network Health |
Amitabh Varshney |
|
Chen |
Hao |
2023 |
An efficient neural representation for videos |
Abhinav Shrivastava |
|
Dooley |
Samuel |
2023 |
Expanding Robustness In Responsible Ai For Novel Bias Mitigation |
John Dickerson |
|
Agrawal |
Sweta |
2023 |
COMPLEXITY CONTROLLED NATURAL LANGUAGE GENERATION |
Marine Carpuat |
|
Shen |
Yu |
2023 |
Learning-Based Autonomous Driving With Enhanced Data Efficiency And Policy Training |
Ming Lin |
|
Ganguly |
Kanishka |
2023 |
A Framework For Dexterous Manipulation Through Tactile Perception |
John Aloimonos |
|
Maddali |
Hanuma Teja |
2023 |
Design Considerations for Remote Expert Guidance Using Extended Reality in Skilled Hobby Settings |
Amanda Lazar |
|
Levine |
Alexander Jacob |
2023 |
Scalable Methods for Robust Machine Learning |
Soheil Feizi |
|
Gupta |
Kamal |
2023 |
Learning and Composing Primitives for the Visual World |
Larry Davis, Abhinav Shrivastava |
|
Blum |
Erica |
2023 |
RESILIENT AND EFFICIENT CONSENSUS UNDER UNKNOWN NETWORK CONDITIONS |
Jonathan Katz |
|
Gupta |
Kamal |
2023 |
Learning and Composing Primitives for the Visual World |
Larry Davis, Abhinav Shrivastava |
|
Esmaeili |
Seyed Abdulaziz |
2023 |
On Algorithms, Fairness, and Incentives |
John Dickerson |
|
Feng |
Yushan |
2023 |
|
Amitabh Varshney |
|
Hu |
Tao |
2023 |
Dense 3D Reconstructions from Sparse Visual Data |
Matthias Zwicker |
|
Srinivasan |
Shravan |
2023 |
Data Structures and Protocols for Scalability and Security of Distributed Consensus |
|
|
Akgul |
Omer |
2023 |
Characterizing And Improving Mental Models Of Secure Communication Tools |
Michelle Mazurek |
|
Katz |
Moshe Matanya |
2023 |
Software-Defined Software |
Ashok Agrawala |
|
Singh |
Chahat Deep |
2023 |
|
|
|
Chiang |
Ping-Yeh |
2023 |
Reliability Of Machine Learning Models In The Real World |
Tom Goldstein |
|
Nair |
Suraj Rajappan |
2023 |
Effective and Efficient Search Across Languages |
Doug Oard |
|
Kaya |
Yigitcan |
2023 |
The Limitations of Deep Learning Methods in Realistic Adversarial Settings |
Tudor Dumitras |
|
Fan |
Jason |
2023 |
Analyzing And Indexing Huge Reference Sequence Collections |
Rob Patro |
|
Raghunandan |
Deepthi |
2023 |
Supporting Independent Learning and Rapid Experimentation in Data Science |
Niklas Elmqvist, Leilani Battle |
|
Li |
Jingling |
2023 |
Understanding and Enriching the Algorithmic Reasoning Capabilities of Deep Learning Models |
John Dickerson |
|
Jia |
Biao |
2023 |
Learning-Based Motion Planning For High-Dof Robot Systems |
Dinesh Manocha |
|
Raghunandan |
Deepthi |
2023 |
Supporting Independent Learning and Rapid Experimentation in Data Science |
Niklas Elmqvist, Leilani Battle |