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Showing 215 results for "jerzy lewandowski"
Physics Preprint PDF DOI

Finding and characterising physical states of Euclidean Abelianized loop quantum gravity using neural quantum states

Hanno Sahlmann, Waleed Sherif ยท 2026

We study physical (near-kernel of constraints) states of 4-d Euclidean loop quantum gravity in Smolin's weak coupling limit on the complete graph $K_5$ using variational Monte Carlo with neural networโ€ฆ

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Engineering Preprint PDF DOI

Adaptive Action Chunking at Inference-time for Vision-Language-Action Models

Yuanchang Liang, Xiaobo Wang, Kai Wang, Shuo Wang, Xiaojiang Peng, Haoyu Chen, David Kim Huat Chua, Prahlad Vadakkepat ยท 2026

In Vision-Language-Action (VLA) models, action chunking (i.e., executing a sequence of actions without intermediate replanning) is a key technique to improve robotic manipulation abilities. However, aโ€ฆ

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Physics Preprint PDF DOI

Causal Structure for Generalized Spinfoams

Carlos E. Beltran ยท 2026

We investigate the role of causality in the generalized EPRL spinfoam model introduced by Kaminski, Kisielowski, and Lewandowski (EPRL-KKL). We first propose a definition of causal structure on an arbโ€ฆ

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AI & Data Science Preprint PDF DOI

Confidence as Forecast: A Decision-Theoretic Interpretation of Confidence Intervals

Scott Lee ยท 2026

What, if anything, should a frequentist say about a single realized confidence interval (CI) and its chance of having covered the parameter? Jerzy Neyman's original answer was to refuse any nondegenerโ€ฆ

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AI & Data Science Preprint PDF DOI

SafeMo: Linguistically Grounded Unlearning for Trustworthy Text-to-Motion Generation

Yiling Wang, Zeyu Zhang, Yiran Wang, Hao Tang ยท 2026

Text-to-motion (T2M) generation with diffusion backbones achieves strong realism and alignment. Safety concerns in T2M methods have been raised in recent years; existing methods replace discrete VQ-VAโ€ฆ

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Physics Preprint PDF DOI

Null fluid gravitational fields on Kerr manifolds and optical lifts of Sasaki structures

Masoud Ganji, Cristina Giannotti, Andrea Spiro ยท 2025

Building on the characterisation in [C. D. Hill, J. Lewandowski and P. Nurowski, Indiana Univ. Math. J. 57 (2008), 3131--3176] of 4-dimensional Lorentzian metrics adapted to an optical structure and sโ€ฆ

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AI & Data Science Preprint PDF DOI

Character Mixing for Video Generation

Tingting Liao, Chongjian Ge, Guangyi Liu, Hao Li, Yi Zhou ยท 2025

Imagine Mr. Bean stepping into Tom and Jerry--can we generate videos where characters interact naturally across different worlds? We study inter-character interaction in text-to-video generation, wherโ€ฆ

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AI & Data Science Preprint PDF DOI

ConspirED: A Dataset for Cognitive Traits of Conspiracy Theories and Large Language Model Safety

Luke Bates, Max Glockner, Preslav Nakov, Iryna Gurevych ยท 2025

Conspiracy theories erode public trust in science and institutions while resisting debunking by evolving and absorbing counter-evidence. As AI-generated misinformation becomes increasingly sophisticatโ€ฆ

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Physics Preprint PDF DOI

Jerky chiral active particles

Stephy Jose, Hartmut Lowen ยท 2025

We introduce jerky chiral active Brownian particles (jcABPs), a generalization of conventional chiral active Brownian particles (cABPs) subjected to jerk, the time derivative of acceleration, and analโ€ฆ

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Physics Preprint PDF DOI

Gigantic dynamical spreading and anomalous diffusion of jerky active particles

Hartmut Lowen ยท 2025

Jerky active particles are Brownian self-propelled particles which are dominated by ``jerk'', the change in acceleration. They represent a generalization of inertial active particles. In order to descโ€ฆ

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Physics Preprint PDF DOI

Primordial regular black holes as all the dark matter. III. Covariant canonical quantum gravity models

Marco Calza, Davide Pedrotti, Guan-Wen Yuan, Sunny Vagnozzi ยท 2025

In earlier companion papers, we showed that non-singular primordial black holes (PBHs) could account for all the dark matter (DM) over a significantly wider mass range compared to Schwarzschild PBHs. โ€ฆ

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Engineering Preprint PDF DOI

Real-Time Execution of Action Chunking Flow Policies

Kevin Black, Manuel Y. Galliker, Sergey Levine ยท 2025

Modern AI systems, especially those interacting with the physical world, increasingly require real-time performance. However, the high latency of state-of-the-art generalist models, including recent vโ€ฆ

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AI & Data Science Preprint PDF DOI

The end of radical concept nativism

Joshua S. Rule, Steven T. Piantadosi ยท 2025

Though humans seem to be remarkable learners, arguments in cognitive science and philosophy of mind have long maintained that learning something fundamentally new is impossible. Specifically, Jerry Foโ€ฆ

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AI & Data Science Preprint PDF DOI

Imitation Learning via Focused Satisficing

Rushit N. Shah, Nikolaos Agadakos, Synthia Sasulski, Ali Farajzadeh, Sanjiban Choudhury, Brian Ziebart ยท 2025

Imitation learning often assumes that demonstrations are close to optimal according to some fixed, but unknown, cost function. However, according to satisficing theory, humans often choose acceptable โ€ฆ

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Physics Preprint PDF DOI

Love Numbers of Covariant Loop Quantum Black Holes

Meysam Motaharfar, Parampreet Singh ยท 2025

We investigate the linear static response of three covariant loop quantum black holes, namely, the two models proposed by Zhang, Lewandowski, Ma, and Yang (ZLMY) and the Alonso-Bardaji, Brizuela, and โ€ฆ

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Engineering Preprint PDF DOI

Human-Centered Development of Guide Dog Robots: Quiet and Stable Locomotion Control

Shangqun Yu, Hochul Hwang, Trung M. Dang, Joydeep Biswas, Nicholas A. Giudice, Sunghoon Ivan Lee, Donghyun Kim ยท 2025

A quadruped robot is a promising system that can offer assistance comparable to that of dog guides due to its similar form factor. However, various challenges remain in making these robots a reliable โ€ฆ

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Engineering Preprint PDF DOI

DiffOG: Differentiable Policy Trajectory Optimization with Generalizability

Zhengtong Xu, Zichen Miao, Qiang Qiu, Zhe Zhang, Yu She ยท 2025

Imitation learning-based visuomotor policies excel at manipulation tasks but often produce suboptimal action trajectories compared to model-based methods. Directly mapping camera data to actions via nโ€ฆ

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AI & Data Science Preprint PDF DOI

One-Minute Video Generation with Test-Time Training

Karan Dalal, Daniel Koceja, Gashon Hussein, Jiarui Xu, Yue Zhao, Youjin Song, Shihao Han, Ka Chun Cheung, Jan Kautz, Carlos Guestrin, Tatsunori Hashimoto, Sanmi Koyejo, Yejin Choi, Yu Sun, Xiaolong Wang ยท 2025

Transformers today still struggle to generate one-minute videos because self-attention layers are inefficient for long context. Alternatives such as Mamba layers struggle with complex multi-scene storโ€ฆ

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Physics Preprint PDF DOI

Attraction of a jerk

Sini Peltonen, Laura Vasko, Inka Tenhunen, Inka Hiltunen, Ronja Lauren, Jami J. Kinnunen ยท 2025

Jerk plays a pivotal role in the thrilling experience of many amusemement park rides. In addition to exploring the physical aspect of jerks, we tackle the empirical observation of an attractive force โ€ฆ

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Engineering Preprint PDF DOI

FlowMP: Learning Motion Fields for Robot Planning with Conditional Flow Matching

Khang Nguyen, An T. Le, Tien Pham, Manfred Huber, Jan Peters, Minh Nhat Vu ยท 2025

Prior flow matching methods in robotics have primarily learned velocity fields to morph one distribution of trajectories into another. In this work, we extend flow matching to capture second-order traโ€ฆ

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