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Poster
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Thu 16:30
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Towards Quantum Machine Learning for Constrained Combinatorial Optimization: a Quantum QAP Solver
Xinyu Ye · Ge Yan · Junchi Yan
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Workshop
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Neural Modulation Fields for Conditional Cone Beam Neural Tomography
Samuele Papa · David Knigge · Riccardo Valperga · Nikita Moriakov · Miltiadis (Miltos) Kofinas · Jan-jakob Sonke · Efstratios Gavves
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Workshop
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Data Banzhaf: A Robust Data Valuation Framework for Machine Learning
Jiachen Wang · Ruoxi Jia
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Workshop
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Towards Modular Machine Learning Pipelines
Aditya Modi · JIVAT NEET KAUR · Maggie Makar · Pavan Mallapragada · Amit Sharma · Emre Kiciman · Adith Swaminathan
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Affinity Workshop
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Mon 19:15
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Convolutional neural network regression to estimate the mass parameter of astrophysical binary black hole systems
Andres Antelis · Claudia Moreno
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Poster
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Tue 17:00
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Preprocessors Matter! Realistic Decision-Based Attacks on Machine Learning Systems
Chawin Sitawarin · Florian Tramer · Nicholas Carlini
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Poster
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Tue 17:00
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Selective Machine Learning of the Average Treatment Effect with an Invalid Instrumental Variable
Baoluo Sun · Yifan Cui · Eric Tchetgen Tchetgen
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Workshop
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Cosmological Data Compression and Inference with Self-Supervised Machine Learning
Aizhan Akhmetzhanova · Siddharth Mishra-Sharma · Cora Dvorkin
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Poster
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Thu 16:30
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Algorithmic Collective Action in Machine Learning
Moritz Hardt · Eric Mazumdar · Celestine Mendler-Dünner · Tijana Zrnic
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Workshop
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Fri 16:40
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GRIL: A 2-parameter Persistence Based Vectorization for Machine Learning
Shreyas N. Samaga
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Workshop
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An interpretable data augmentation framework for improving generative modeling of synthetic clinical trial data
Afrah Shafquat · Mandis Beigi · Chufan Gao · Jason Mezey · Jimeng Sun · Jacob Aptekar
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Poster
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Tue 17:00
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Auto-Differentiation of Relational Computations for Very Large Scale Machine Learning
Yuxin Tang · Zhimin Ding · Dimitrije Jankov · Binhang Yuan · Daniel Bourgeois · Chris Jermaine
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