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Workshop
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Convergence Guarantees for Neural Network-Based Hamilton–Jacobi Reachability
William Hofgard
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Competition
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Sat 9:45
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DeepUQ: Assessing the Aleatoric Uncertainties from two Deep Learning Methods
Becky Nevin
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Poster
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Fri 16:30
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Deep Learning for Computing Convergence Rates of Markov Chains
Yanlin Qu · Jose Blanchet · Peter W Glynn
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Workshop
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On the Efficiency of NLP-Inspired Methods for Tabular Deep Learning
Soheila Samiee · Anton Thielmann
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Workshop
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DeepUQ: A Systematic Comparison of Aleatoric Uncertainties from Deep Learning Methods
Becky Nevin · Brian Nord · Aleksandra Ciprijanovic
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Poster
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Fri 11:00
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Deep Bayesian Active Learning for Preference Modeling in Large Language Models
Luckeciano Carvalho Melo · Panagiotis Tigas · Alessandro Abate · Yarin Gal
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Poster
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Thu 16:30
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Stochastic Kernel Regularisation Improves Generalisation in Deep Kernel Machines
Edward Milsom · Ben Anson · Laurence Aitchison
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Workshop
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Sat 15:45
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Deep Limit Model-free Prediction in Regression
Kejin Wu · Dimitris Politis
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Affinity Event
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Energy Efficient Machine Learning and Deep Learning Methods for Mosquito Classification
Danika Gupta · Ming Zhao · Awani Gadre
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Workshop
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Sun 12:00
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DQA: An Efficient Method for Deep Quantization of Deep Neural Network Activations
Wenhao Hu · Paul Henderson · José Cano
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Poster
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Wed 11:00
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Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy Minimization of CKA
David Smerkous · Qinxun Bai · Fuxin Li
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Poster
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Fri 11:00
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Deep Policy Gradient Methods Without Batch Updates, Target Networks, or Replay Buffers
Gautham Vasan · Mohamed Elsayed · Seyed Alireza Azimi · Jiamin He · Fahim Shahriar · Colin Bellinger · Martha White · Rupam Mahmood
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