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Residual MPC: Blending Reinforcement Learning with GPU-Parallelized Model Predictive Control
Se Hwan Jeon, Ho Jae Lee, Seungwoo Hong, Sangbae Kim
https://arxiv.org/abs/2510.12717

Residual MPC: Blending Reinforcement Learning with GPU-Parallelized Model Predictive Control
Model Predictive Control (MPC) provides interpretable, tunable locomotion controllers grounded in physical models, but its robustness depends on frequent replanning and is limited by model mismatch and real-time computational constraints. Reinforcement Learning (RL), by contrast, can produce highly robust behaviors through stochastic training but often lacks interpretability, suffers from out-of-distribution failures, and requires intensive reward engineering. This work presents a GPU-paralleli…

Ultrathin bismuth-yttrium iron garnet films with tunable and compensated magnetic anisotropy
Hanchen Wang, William Legrand, Davit Petrosyan, Min-Gu Kang, Emir Karad\v{z}a, Hiroki Matsumoto, Richard Schlitz, Michaela Lammel, Myriam H. Aguirre, Pietro Gambardella
https://arxiv.org/abs/2510.07465

Ultrathin bismuth-yttrium iron garnet films with tunable and compensated magnetic anisotropy
We report on the epitaxial growth of nm-thick films of bismuth-substituted yttrium iron garnet (BiYIG) by high-temperature off-axis radio-frequency magnetron sputtering. We demonstrate accurate control of the magnetic properties by tuning of the sputtering parameters and epitaxial strain on various (111)-oriented garnet substrates. BiYIG films with up to -0.80\% lattice mismatch with the substrate remain fully strained up to 60~nm-thick, maintaining a high crystalline quality. Transmission elec…

On 30 April, 1993, CERN published the complete source code to the #WWW protocols developed by @…, as well as his client and server software with this statement: “CERN relinquishes all intellectual property rights to this code, both source and binary and permission is given to anyon…

NaviGait: Navigating Dynamically Feasible Gait Libraries using Deep Reinforcement Learning
Neil C. Janwani, Varun Madabushi, Maegan Tucker
https://arxiv.org/abs/2510.11542 https…

NaviGait: Navigating Dynamically Feasible Gait Libraries using Deep Reinforcement Learning
Reinforcement learning (RL) has emerged as a powerful method to learn robust control policies for bipedal locomotion. Yet, it can be difficult to tune desired robot behaviors due to unintuitive and complex reward design. In comparison, offline trajectory optimization methods, like Hybrid Zero Dynamics, offer more tuneable, interpretable, and mathematically grounded motion plans for high-dimensional legged systems. However, these methods often remain brittle to real-world disturbances like exter…

Cin\'{e}aste: A Fine-grained Contextual Movie Question Answering Benchmark
Nisarg A. Shah, Amir Ziai, Chaitanya Ekanadham, Vishal M. Patel
https://arxiv.org/abs/2509.14227 h…

Cinéaste: A Fine-grained Contextual Movie Question Answering Benchmark
While recent advancements in vision-language models have improved video understanding, diagnosing their capacity for deep, narrative comprehension remains a challenge. Existing benchmarks often test short-clip recognition or use template-based questions, leaving a critical gap in evaluating fine-grained reasoning over long-form narrative content. To address these gaps, we introduce $\mathsf{Cin\acute{e}aste}$, a comprehensive benchmark for long-form movie understanding. Our dataset comprises 3,…

Moody Urbanity - Old & New 🔆
情绪化城市 - 新与旧 🔆
📷 Nikon FE
🎞️ Ilford HP5 Plus 400, expired 1993
#filmphotography #Photography #blackandwhite

🇺🇦 #NowPlaying on BBCRadio3's #EssentialClassics
Nikolai Rimsky-Korsakov, Grimethorpe Colliery Band, Derek Ashmore & Garry Cutt:
🎵 Dance of the Tumblers (Snow Maiden)
#NikolaiRimskyKorsakov #GrimethorpeCollieryBand #DerekAshmore #GarryCutt

Strain-tunable anomalous Hall effect in hexagonal MnTe
Zhaoyu Liu, Sijie Xu, Jonathan M. DeStefano, Elliott Rosenberg, Tingjun Zhang, Jinyulin Li, Matthew B. Stone, Feng Ye, Rong Cong, Siyu Pan, Ching-Wu Chu, Liangzi Deng, Emilia Morosan, Jiun-Haw Chu, Pengcheng Dai
https://arxiv.org/abs/2509.19582…

Strain-tunable anomalous Hall effect in hexagonal MnTe
The ability to control and manipulate time-reversal ($T$) symmetry-breaking phases with near-zero net magnetization is a sought-after goal in spintronic devices. The recently discovered hexagonal altermagnet manganese telluride ($α$-MnTe) is a prime example. It has a compensated $A$-type antiferromagnetic (AFM) ground state where the in-plane ferromagnetic (FM) moments in each layer are stacked antiferromagnetically along the $c$ axis, yet exhibits a spontaneous anomalous Hall effect (AHE) tha…

Hierarchical Representation Matching for CLIP-based Class-Incremental Learning
Zhen-Hao Wen, Yan Wang, Ji Feng, Han-Jia Ye, De-Chuan Zhan, Da-Wei Zhou
https://arxiv.org/abs/2509.22645

Hierarchical Representation Matching for CLIP-based Class-Incremental Learning
Class-Incremental Learning (CIL) aims to endow models with the ability to continuously adapt to evolving data streams. Recent advances in pre-trained vision-language models (e.g., CLIP) provide a powerful foundation for this task. However, existing approaches often rely on simplistic templates, such as "a photo of a [CLASS]", which overlook the hierarchical nature of visual concepts. For example, recognizing "cat" versus "car" depends on coarse-grained cues, while distinguishing "cat" from "lio…