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Workshop
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Stochastic Gradient Methods with Compressed Communication for Decentralized Saddle Point Problems
Chhavi Sharma · Vishnu Narayanan · Balamurugan Palaniappan
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Workshop
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Solving Constrained Variational Inequalities via a First-order Interior Point-based Method
Tong Yang · Michael Jordan · Tatjana Chavdarova
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Workshop
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Breaking the Symmetry: Resolving Symmetry Ambiguities in Equivariant Neural Networks
Sidhika Balachandar · Adrien Poulenard · Congyue Deng · Leonidas Guibas
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Poster
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Tue 9:00
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Efficient Change-Point Detection for Tackling Piecewise-Stationary Bandits
Lilian Besson · Emilie Kaufmann · Odalric-Ambrym Maillard · Julien Seznec
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Workshop
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A Benchmark for Out of Distribution Detection in Point Cloud 3D Semantic Segmentation
Lokesh Veeramacheneni · Matias Valdenegro-Toro
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Workshop
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Fri 9:30
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Joint Point Process Model for Counterfactual Treatment-Outcome Trajectories Under Policy Interventions
Çağlar Hızlı · ST John · Anne Juuti · Tuure Saarinen · Kirsi Pietiläinen · Pekka Marttinen
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Workshop
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Generating Calorimeter Showers as Point Clouds
Simon Schnake · Dirk Krücker · Kerstin Borras
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Workshop
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Directed Information for Point Process Systems
Shailaja Akella · Andre Bastos · Jose C Principe
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Workshop
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Stress-Testing Point Cloud Registration on Automotive LiDAR
Amnon Drory · Raja Giryes · Shai Avidan
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Affinity Workshop
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Object Segmentation of Cluttered Airborne LiDAR Point Clouds
Mariona Carós · Ariadna Just · Santi Seguí · Jordi Vitria
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Affinity Workshop
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Set2Set Transformer: Towards End-to-End 3D Object Detection from Point Clouds
Yeabsira Tessema · Abel Mekonnen · Michael Desta · Selameab Demilew
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Workshop
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A Curriculum-Training-Based Strategy for Distributing Collocation Points during Physics-Informed Neural Network Training
Marcus Münzer · Christopher Bard
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