PhD Alumni

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Displaying 1 - 50 of 947
Last First Graduation Year Dissertation Advisor(s)
Agrawal Sweta 2023
Barrow Joseph Dacosta Albert 2023 Structural Scaffolding for Sensemaking in Document Collections  Philip Resnik, Doug Oard
Barrow Joseph Dacosta Albert 2023 Structural Scaffolding for Sensemaking in Document Collections  Philip Resnik, Doug Oard
Blum Erica 2023
Briakou Eleftheria 2023
Chen Hao 2023
Dooley Samuel William Atwell 2023
Esmaeili Seyed Abdulaziz 2023
Feng Yushan 2023
Fulton Kelsey Rae 2023
Ganguly Kanishka 2023 A Framework For Dexterous Manipulation Through Tactile Perception  John Aloimonos
Goel Pranav 2023
Gupta Kamal 2023 Learning and Composing Primitives for the Visual World  Larry Davis, Abhinav Shrivastava
Gupta Kamal 2023 Learning and Composing Primitives for the Visual World  Larry Davis, Abhinav Shrivastava
Guria Sankha Narayan 2023
Hu Tao 2023 Dense 3D Reconstructions from Sparse Visual Data  Matthias Zwicker
Katz Moshe Matanya 2023 Software-Defined Software  Ashok Agrawala
Kaya Yigitcan 2023
Levine Alexander Jacob 2023
Li Jingling 2023
Maddali Hanuma Teja 2023
Maynord Michael 2023
Mittal Trisha 2023
Nair Suraj Rajappan 2023 Effective and Efficient Search Across Languages  Doug Oard
Raghunandan Deepthi 2023 Supporting Independent Learning and Rapid Experimentation in Data Science  Niklas Elmqvist, Leilani Battle
Raghunandan Deepthi 2023 Supporting Independent Learning and Rapid Experimentation in Data Science  Niklas Elmqvist, Leilani Battle
Rolinger Thomas Blaine 2023
Saleh Mohammadabad Hamed 2023 Parallel Algorithms for Processing Massive Texts and Graphs  Mohammad Hajiaghayi
Singh Chahat Deep 2023
Singla Sahil 2023 Reliable Deep Learning: a Robustness Perspective  Soheil Feizi
Srinivasan Shravan 2023
Sun Yanchao 2023 Towards Robust and Adaptable Real-World Reinforcement Learning  Furong Huang
Tan Qingyang 2023
Terry Jordan Kirby 2023 Multi-Agent Reinforcement Learning: Systems for Evaluation and Applications to Complex Systems  John Dickerson
Xu Weijia 2023 Stronger Inductive Biases for Sample-Efficient and Controllable Neural Machine Translation  Marine Carpuat
You Xuchen 2023 Optimization Problems in Quantum Machine Learning  Xiaodi Wu
Zhu Shaopeng 2023 Applications of Graph Theory and Logic in Computer Science  William GasarchWilliam Laskowski
Bhattacharya Uttaran 2022 Affective Human Motion Detection and Synthesis  Dinesh Manocha
Bock Kevin 2022 Automating the Discovery of Censorship Evasion Strategies  Dave Levin
Brantley Kiante 2022 EXPERT-IN-THE-LOOP FOR SEQUENTIAL DECISIONS AND PREDICTIONS  Hal Daumé III
Chakrabarti Shouvanik 2022 Quantum Computing for Optimization and Machine Learning  Xiaodi Wu
Chandra Rohan 2022 TOWARDS AUTONOMOUS DRIVING IN DENSE, HETEROGENEOUS, AND UNSTRUCTURED TRAFFIC  Dinesh Manocha
Curry Michael Jeremiah 2022 Learning and Robustness With Applications To Mechanism Design  John Dickerson, Tom Goldstein
Curry Michael Jeremiah 2022 Learning and Robustness With Applications To Mechanism Design  John Dickerson, Tom Goldstein
Davis Gregory Patrick 2022 A NEUROCOMPUTATIONAL MODEL OF CAUSAL REASONING AND COMPOSITIONAL WORKING MEMORY FOR IMITATION LEARNING  James Reggia
Ehrlich Max Donohue 2022 The First Principles of Deep Learning and Compression  Larry Davis, Abhinav Shrivastava
Ehrlich Max Donohue 2022 The First Principles of Deep Learning and Compression  Larry Davis, Abhinav Shrivastava
Farhadi Alireza 2022 Memory-Restricted and Secure Algorithms For Large Datasets  Mohammad Hajiaghayi
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