Tootfinder

Recently someone stumbled across one of my #pristineWinter photos and gave some really lovely feedback.
So I just Browser through those photos again and - yes, I really love them! I should pick up printing them again!
If you want a copy, it's currently available on FineArtAmerica as well.

Stand Strong by Franz Graf
Stand Strong Photograph by Franz Graf

Dynamic Explanation Emphasis in Human-XAI Interaction with Communication Robot
Yosuke Fukuchi, Seiji Yamada
https://arxiv.org/abs/2403.14550 https://

Dynamic Explanation Emphasis in Human-XAI Interaction with Communication Robot
Communication robots have the potential to contribute to effective human-XAI interaction as an interface that goes beyond textual or graphical explanations. One of their strengths is that they can use physical and vocal expressions to add detailed nuances to explanations. However, it is not clear how a robot can apply such expressions, or in particular, how we can develop a strategy to adaptively use such expressions depending on the task and user in dynamic interactions. To address this questi…

Did some more brainstorming about a title for this project/piece and have settled on STRATA for now — these emerging structures/fragments very much remind me of them (rock strata and/or thin section microscopy) and the many folds & cross-stratifications observed on my hikes over the past few years have been a regular inspiration to keep working on this project...
Also see:
-

This https://arxiv.org/abs/2403.13519 has been replaced.
initial toot: https://mastoxiv.page/@ar…

Pore network models to determine flow statistics and structural controls in variably saturated porous media
Conceptualizing a porous media as a network of conductors sets a compromise between the oversimplifying conceptualization of the media as a bundle of capillary tubes and the computationally expensive and unobtainable detailed description of the media's geometry needed for direct numerical simulations. These models are abundantly being used to evaluate single and multiphase flow characteristics. The different flow characteristics are valuable in evaluating phenomena that may or may not be releva…

This https://arxiv.org/abs/2309.05877 has been replaced.
initial toot: https://mastoxiv.page/@…

Choosing restart strategy at partial knowledge of process statistics
Optimization of a random processes by restart is a subject of active theoretical research in statistical physics and has long found practical application in computer science. Meanwhile, one of the key issues remains largely unsolved: when should we restart a process whose detailed statistics are unknown to ensure that our intervention will improve performance? Addressing this query here we propose several constructive criteria for the effectiveness of various protocols of non-instantaneous rest…

Ward Identities in a Two-Dimensional Gravitational Model: Anomalous Amplitude Revisited Using a Completely Regularization-Independent Mathematical Strategy
G. Dallabona, P. G. de Oliveira, O. A. Battistel
https://arxiv.org/abs/2404.12196

Ward Identities in a Two-Dimensional Gravitational Model: Anomalous Amplitude Revisited Using a Completely Regularization-Independent Mathematical Strategy
We present a detailed investigation of the anomalous gravitational amplitude in a simple two-dimensional model with Weyl fermions. We employ a mathematical strategy that completely avoids any regularization prescription for handling divergent perturbative amplitudes. This strategy relies solely on the validity of the linearity of the integration operation and avoids modifying the amplitudes during intermediate calculations, unlike studies using regularization methods. Additionally, we adopt arb…

Pinot is a skilled pixel artist and animator who does his work on #vintageComputing hardware, mostly early #Macintosh computers.
He suffered a devastating stroke in 2022 and lost much of his motor control. I’m glad to see him back doing

Pinot on Instagram: "DONE! it started april 2019, then it stopped long before I got the stroke in june 2022. continued in february 2024 after I got stroke."
693 likes, 12 comments - pinot on May 15, 2024: "DONE! it started april 2019, then it stopped long before I got the stroke in june 2022. continued in february 2024 after I got stroke.".

Pore network models to determine flow statistics and structural controls in variably saturated porous media
Ilan Ben-Noah, Juan J. Hidalgo, Marco Dentz
https://arxiv.org/abs/2403.13519

Pore network models to determine flow statistics and structural controls in variably saturated porous media
Conceptualizing a porous media as a network of conductors sets a compromise between the oversimplifying conceptualization of the media as a bundle of capillary tubes and the computationally expensive and unobtainable detailed description of the media's geometry needed for direct numerical simulations. These models are abundantly being used to evaluate single and multiphase flow characteristics. The different flow characteristics are valuable in evaluating phenomena that may or may not be releva…

Can LLMs Generate Human-Like Wayfinding Instructions? Towards Platform-Agnostic Embodied Instruction Synthesis
Vishnu Sashank Dorbala, Sanjoy Chowdhury, Dinesh Manocha
https://arxiv.org/abs/2403.11487

Can LLMs Generate Human-Like Wayfinding Instructions? Towards Platform-Agnostic Embodied Instruction Synthesis
We present a novel approach to automatically synthesize "wayfinding instructions" for an embodied robot agent. In contrast to prior approaches that are heavily reliant on human-annotated datasets designed exclusively for specific simulation platforms, our algorithm uses in-context learning to condition an LLM to generate instructions using just a few references. Using an LLM-based Visual Question Answering strategy, we gather detailed information about the environment which is used by the LLM f…

Can LLMs Generate Human-Like Wayfinding Instructions? Towards Platform-Agnostic Embodied Instruction Synthesis
Vishnu Sashank Dorbala, Sanjoy Chowdhury, Dinesh Manocha
https://arxiv.org/abs/2403.11487

Can LLMs Generate Human-Like Wayfinding Instructions? Towards Platform-Agnostic Embodied Instruction Synthesis
We present a novel approach to automatically synthesize "wayfinding instructions" for an embodied robot agent. In contrast to prior approaches that are heavily reliant on human-annotated datasets designed exclusively for specific simulation platforms, our algorithm uses in-context learning to condition an LLM to generate instructions using just a few references. Using an LLM-based Visual Question Answering strategy, we gather detailed information about the environment which is used by the LLM f…