Joshua L. Phillips

25 papers A* 1B 6Misc 2Journal 5Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	Misc	`conf`	DNAGAST: Generative Adversarial Set Transformers for High-throughput Sequencing. FLAIRS David W. Ludwig II, Joshua L. Phillips
2025	J	`jnl`	SetBERT: the deep learning platform for contextualized embeddings and explainable predictions from high-throughput sequencing. Bioinform. David W. Ludwig II, Christopher Guptil, Nicholas R. Alexander, Kateryna Zhalnina, Edi M.-L. Wipf, Albina Khasanova, Nicholas A. Barber, Wesley Swingley, Donald M. Walker, Joshua L. Phillips
2024	J	`jnl`	Conditional Forecasting of Bitcoin Prices Using Exogenous Variables. IEEE Access Adel Mahfooz, Joshua L. Phillips
2024	B	`conf`	Contrastive Point Cloud Pretraining for Enhanced Transformers. ICTAI Divyashree Shivalingappa Koti, Joshua L. Phillips, Frederick S. Cottle
2024	Misc	`conf`	STrXL: Approximating Permutation Invariance/Equivariance to Model Arbitrary Cardinality Sets. FLAIRS Kendra Givens, David Ludwig, Joshua L. Phillips
2022	B	`conf`	Attention Is Not Enough. CogSci Joshua Miller, Shawheen Naderi, Chaning Mullinax, Joshua L. Phillips
2021	B	`conf`	A Neurobiologically-inspired Deep Learning Framework for Autonomous Context Learning. ICTAI David W. Ludwig II, Lucas W. Remedios, Joshua L. Phillips
2021	—	`conf`	Benefits of combining dimensional attention and working memory for partially observable reinforcement learning problems. ACM Southeast Conference Ngozi Omatu, Joshua L. Phillips
2021	—	`conf`	Computational Electrostatics Predict Variations in SARS-CoV-2 Spike and Human ACE2 Interactions. BIBM Scott P. Morton, Joshua L. Phillips
2021	—	`conf`	Language agnostic model: detecting islamophobic content on social media. ACM Southeast Conference Heena Khan, Joshua L. Phillips
2021	—	`conf`	pH Dependent Binding Energies of Broadly Neutralizing Antibodies. BIBM Scott P. Morton, Joshua L. Phillips
2020	J	`jnl`	Accelerated Protein Folding Using Greedy-Proximal A. J. Chem. Inf. Model. Ivan Syzonenko, Joshua L. Phillips
2020	B	`conf`	Combined Model for Sensory-Based and Feedback-Based Task Switching: Solving Hierarchical Reinforcement Learning Problems Statically and Dynamically with Transfer Learning. ICTAI Nibraas Khan, Joshua L. Phillips
2020	A*	`conf`	Transfer Reinforcement Learning Using Output-Gated Working Memory. AAAI Arthur Williams, Joshua L. Phillips
2019	J	`jnl`	Combined Model for Partially-Observable and Non-Observable Task Switching: Solving Hierarchical Reinforcement Learning Problems. CoRR Nibraas Khan, Joshua L. Phillips
2018	—	`conf`	Dimensionality Estimation of Protein Dynamics Using Polymer Models. BCB Joshua L. Phillips, Michael E. Colvin, Shawn D. Newsam
2018	—	`conf`	Hybrid Spectral/Subspace Clustering of Molecular Dynamics Simulations. BCB Ivan Syzonenko, Joshua L. Phillips
2018	B	`conf`	Multilayer Context Reasoning in a Neurobiologically Inspired Working Memory Model for Cognitive Robots. CogSci Arthur Williams, Joshua L. Phillips
2018	—	`conf`	Sub-Class Differences of PH-Dependent HIV GP120-CD4 Interactions. BCB Scott P. Morton, Jonathan Howton, Joshua L. Phillips
2017	—	`conf`	Computational Modeling of pH-dependent gp120-CD4 Interactions in Founder and Chronic HIV Strains. BCB Jonathan Howton, Joshua L. Phillips
2017	—	`conf`	High-throughput structural modeling of the HIV transmission bottleneck. BIBM Scott P. Morton, Julie B. Phillips, Joshua L. Phillips
2017	—	`conf`	Working Memory Concept Encoding Using Holographic Reduced Representations. MAICS Grayson M. Dubois, Joshua L. Phillips
2012	—	`—`	Validation of computational approaches for studying disordered and unfolded protein dynamics using polymer models. Joshua L. Phillips
2011	J	`jnl`	Validating Clustering of Molecular Dynamics Simulations Using Polymer Models. BMC Bioinform. Joshua L. Phillips, Michael E. Colvin, Shawn D. Newsam
2005	B	`conf`	A biologically inspired working memory framework for robots. RO-MAN Joshua L. Phillips, David C. Noelle