3 citations · 3 across the 7 of their papers we have counts for
8 papers
Robust Importance Sampling for Rare Events via Constrained Gaussian Mixtures
Paweł Lorek, Rafał Nowak, Rafał Topolnicki +2
We study estimating rare-event probabilities with and general $g : \mathbb{R}^d \to \m…
Conditioned Activation Transport for T2I Safety Steering
Maciej Chrabąszcz, Aleksander Szymczyk, Jan Dubiński +3
Despite their impressive capabilities, current Text-to-Image (T2I) models remain prone to generating unsafe and toxic content. While activation steering offers a promising inferenc…
Reducing Estimation Uncertainty Using Normalizing Flows and Stratification
Paweł Lorek, Rafał Nowak, Rafał Topolnicki +3
Estimating the expectation of a real-valued function of a random variable from sample data is a critical aspect of statistical analysis, with far-reaching implications in various a…
ELROND: Exploring and decomposing intrinsic capabilities of diffusion models
Paweł Skierś, Tomasz Trzciński, Emilia Kaczmarczyk +1
A single text prompt passed to a diffusion model yields a wide range of visual outputs determined solely by a stochastic process, leaving users with no direct control over which se…
Unpacking Softmax: How Temperature Drives Representation Collapse, Compression, and Generalization
Wojciech Masarczyk, Mateusz Ostaszewski, Tin Sum Cheng +3
The softmax function is a fundamental building block of deep neural networks, commonly used to define output distributions in classification tasks or attention weights in transform…
1000 Layer Networks for Self-Supervised RL: Scaling Depth Can Enable New Goal-Reaching Capabilities
Kevin Wang, Ishaan Javali, Michał Bortkiewicz +2
Scaling up self-supervised learning has driven breakthroughs in language and vision, yet comparable progress has remained elusive in reinforcement learning (RL). In this paper, we…
Post-Error Correction for Quantum Annealing Processor using Reinforcement Learning
Tomasz Śmierzchalski, Łukasz Pawela, Zbigniew Puchała +2
Finding the ground state of the Ising spin-glass is an important and challenging problem (NP-hard, in fact) in condensed matter physics. However, its applications spread far beyond…
TrajeVAE: Controllable Human Motion Generation from Trajectories
Kacper Kania, Marek Kowalski, Tomasz Trzciński
The creation of plausible and controllable 3D human motion animations is a long-standing problem that requires a manual intervention of skilled artists. Current machine learning ap…