Summary of Learning to Steer with Brownian Noise, by Stefan Ankirchner et al.
Learning to steer with Brownian noiseby Stefan Ankirchner, Sören Christensen, Jan Kallsen, Philip Le Borne,…
Learning to steer with Brownian noiseby Stefan Ankirchner, Sören Christensen, Jan Kallsen, Philip Le Borne,…
Tadashi: Enabling AI-Based Automated Code Generation With Guaranteed Correctnessby Emil Vatai, Aleksandr Drozd, Ivan R.…
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Geometry is All You Need: A Unified Taxonomy of Matrix and Tensor Factorization for Compression…
FedPeWS: Personalized Warmup via Subnetworks for Enhanced Heterogeneous Federated Learningby Nurbek Tastan, Samuel Horvath, Martin…
Instance-Level Difficulty: A Missing Perspective in Machine Unlearningby Hammad Rizwan, Mahtab Sarvmaili, Hassan Sajjad, Ga…
Scalable Frame-based Construction of Sociocultural NormBases for Socially-Aware Dialoguesby Shilin Qu, Weiqing Wang, Xin Zhou,…
Learning Structured Representations by Embedding Class Hierarchy with Fast Optimal Transportby Siqi Zeng, Sixian Du,…
Permissive Information-Flow Analysis for Large Language Modelsby Shoaib Ahmed Siddiqui, Radhika Gaonkar, Boris Köpf, David…
Towards an Improved Metric for Evaluating Disentangled Representationsby Sahib Julka, Yashu Wang, Michael GranitzerFirst submitted…