Oates, Tim

46 publications

NeurIPS 2024 A Walsh Hadamard Derived Linear Vector Symbolic Architecture Mohammad Mahmudul Alam, Alexander Oberle, Edward Raff, Stella Biderman, Tim Oates, James Holt

NeurIPSW 2024 A Walsh Hadamard Derived Linear Vector Symbolic Architecture Mohammad Mahmudul Alam, Alexander Oberle, Edward Raff, Stella Biderman, Tim Oates, James Holt

NeurIPSW 2024 Enhancing Trust in AI-Driven Dermatology: CLIP for Explainable Skin Lesion Diagnosis Sadia Kamal, Tim Oates

AISTATS 2024 Holographic Global Convolutional Networks for Long-Range Prediction Tasks in Malware Detection Mohammad Mahmudul Alam, Edward Raff, Stella R Biderman, Tim Oates, James Holt

NeurIPSW 2024 SBI-RAG: Enhancing Math Word Problem Solving for Students Through Schema-Based Instruction and Retrieval-Augmented Generation. Prakhar Dixit, Tim Oates

NeurIPSW 2023 DDxT: Deep Generative Transformer Models for Differential Diagnosis Mohammad Mahmudul Alam, Edward Raff, Tim Oates, Cynthia Matuszek

NeurIPSW 2023 LLM Augmented Hierarchical Agents Bharat Prakash, Tim Oates, Tinoosh Mohsenin

AAAI 2023 RFC-Net: Learning High Resolution Global Features for Medical Image Segmentation on a Computational Budget (Student Abstract) Sourajit Saha, Shaswati Saha, Md. Osman Gani, Tim Oates, David Chapman

ICML 2023 Recasting Self-Attention with Holographic Reduced Representations Mohammad Mahmudul Alam, Edward Raff, Stella Biderman, Tim Oates, James Holt

ECML-PKDD 2023 cuSLINK: Single-Linkage Agglomerative Clustering on the GPU Corey J. Nolet, Divye Gala, Alexandre Fender, Mahesh Doijade, Joe Eaton, Edward Raff, John Zedlewski, Brad Rees, Tim Oates

ICML 2022 Deploying Convolutional Networks on Untrusted Platforms Using 2D Holographic Reduced Representations Mohammad Mahmudul Alam, Edward Raff, Tim Oates, James Holt

NeurIPSW 2022 Hierarchical Agents by Combining Language Generation and Semantic Goal Directed RL Bharat Prakash, Nicholas R Waytowich, Tim Oates, Tinoosh Mohsenin

NeurIPSW 2022 Lempel-Ziv Networks Rebecca Saul, Mohammad Mahmudul Alam, John Hurwitz, Edward Raff, Tim Oates, James Holt

AAAI 2021 Bringing UMAP Closer to the Speed of Light with GPU Acceleration Corey J. Nolet, Victor Lafargue, Edward Raff, Thejaswi Nanditale, Tim Oates, John Zedlewski, Joshua Patterson

NeurIPS 2021 Learning with Holographic Reduced Representations Ashwinkumar Ganesan, Hang Gao, Sunil Gandhi, Edward Raff, Tim Oates, James Holt, Mark McLean

ECML-PKDD 2018 On Finer Control of Information Flow in LSTMs Hang Gao, Tim Oates

AAAI 2016 Adaptive Normalized Risk-Averting Training for Deep Neural Networks Zhiguang Wang, Tim Oates, James Lo

IJCAI 2015 Imaging Time-Series to Improve Classification and Imputation Zhiguang Wang, Tim Oates

ECML-PKDD 2014 GrammarViz 2.0: A Tool for Grammar-Based Pattern Discovery in Time Series Pavel Senin, Jessica Lin, Xing Wang, Tim Oates, Sunil Gandhi, Arnold P. Boedihardjo, Crystal Chen, Susan Frankenstein, Manfred Lerner

MLJ 2014 Introduction to the Special Issue on Grammatical Inference Jeffrey Heinz, Colin de la Higuera, Tim Oates

IJCAI 2009 A Context Driven Approach for Workflow Mining Fusun Yaman, Tim Oates, Mark H. Burstein

AAAI 2008 Lexical and Grammatical Inference Tom Armstrong, Tim Oates

AAAI 2007 Real-Time Identification of Operating Room State from Video Beenish Bhatia, Tim Oates, Yan Xiao, Peter Fu-Ming Hu

AAAI 2007 The Marchitecture: A Cognitive Architecture for a Robot Baby Marc Pickett, Tim Oates

AAAI 2007 UNDERTOW: Multi-Level Segmentation of Real-Valued Time Series Tom Armstrong, Tim Oates

IJCAI 2007 Using Ontologies and the Web to Learn Lexical Semantics Aarti Gupta, Tim Oates

AAAI 2006 Detecting Spam Blogs: A Machine Learning Approach Pranam Kolari, Akshay Java, Tim Finin, Tim Oates, Anupam Joshi

AAAI 2005 Discovering Domain-Specific Composite Kernels Tom Briggs, Tim Oates

IJCAI 2005 Transfer in Learning by Doing William Krueger, Tim Oates, Tom Armstrong, Paul R. Cohen, Carole R. Beal

AAAI 2004 On the Relationship Between Lexical Semantics and Syntax for the Inference of Context-Free Grammars Tim Oates, Tom Armstrong, Justin Harris, Mark Nejman

ECML-PKDD 2003 Leveraging Lexical Semantics to Infer Context-Free Grammars Tim Oates, Tom Armstrong, Justin Harris, Mark Nejman

AAAI 2002 Contentful Mental States for Robot Baby Paul R. Cohen, Tim Oates, Carole R. Beal, Niall M. Adams

ICML 2002 Learning K-Reversible Context-Free Grammars from Positive Structural Examples Tim Oates, Devina Desai, Vinay Bhat

UAI 2002 The Thing That We Tried Didn't Work Very Well: Deictic Representation in Reinforcement Learning Sarah Finney, Natalia Gardiol, Leslie Pack Kaelbling, Tim Oates

ALT 2001 Robot Baby 2001 Paul R. Cohen, Tim Oates, Niall M. Adams, Carole R. Beal

AAAI 2000 A Method for Clustering the Experiences of a Mobile Robot That Accords with Human Judgments Tim Oates, Matthew D. Schmill, Paul R. Cohen

AISTATS 1999 Efficient Mining of Statistical Dependencies Tim Oates, Matthew D. Schmill, Paul R. Cohen, Casey Durfee

IJCAI 1999 Efficient Mining of Statistical Dependencies Tim Oates, Matthew D. Schmill, Paul R. Cohen

AAAI 1999 Toward a Theoretical Understanding of Why and When Decision Tree Pruning Algorithms Fail Tim Oates, David D. Jensen

AISTATS 1997 A Family of Algorithms for Finding Temporal Structure in Data Tim Oates, Matthew J. Schmill, David Jensen, Paul R. Cohen

ECML-PKDD 1997 Parallel and Distributed Search for Structure in Multivariate Time Series Tim Oates, Matthew D. Schmill, Paul R. Cohen

AISTATS 1997 The Effects of Training Set Size on Decision Tree Complexity Tim Oates, David Jensen

ICML 1997 The Effects of Training Set Size on Decision Tree Complexity Tim Oates, David D. Jensen

AAAI 1996 Searching for Planning Operators with Context-Dependent and Probabilistic Effects Tim Oates, Paul R. Cohen

ICML 1996 Searching for Structure in Multiple Streams of Data Tim Oates, Paul R. Cohen

AISTATS 1995 Detecting Complex Dependencies in Categorical Data Tim Oates, Dawn E. Gregory, Paul R. Cohen