סמינר מחלקתי של יואב לחיני- ביקורתיות המפולת מניעה את ההזדקנות הפיזית של חומר מופרע: מסדינים מקומטים ועד רעידות משנה סיסמיות

18 בנובמבר 2024, 14:00 - 15:00 
בית ספר להנדסה מכנית  
סמינר מחלקתי של יואב לחיני- ביקורתיות המפולת מניעה את ההזדקנות הפיזית של חומר מופרע: מסדינים מקומטים ועד רעידות משנה סיסמיות

 

Avalanche Criticality Drives the Physical Aging of Disordered Matter:

from Crumpled Sheets to Seismic Aftershocks

Monday November 18th at 14:00 

Wolfson Building of Mechanical Engineering, Room 206

Abstract:

Many complex and disordered systems fail to reach equilibrium after they have been quenched or perturbed. Instead, they sluggishly relax toward equilibrium at an ever-slowing, history dependent rate, a process termed physical aging. The microscopic processes underlying the dynamic slowdown during aging and the reason for its similar occurrence in different systems remain poorly understood.

Combining experiments on crumpled sheets and simulations of a disordered network of interacting elastic instabilities, we reveal the structural mechanism underlying logarithmic aging in these systems. We find that under constant external loading, the system self-organizes to a marginally stable state, where it can remain for long, but finite, times. The system’s slow relaxation is intermittent, and advances via self-similar, slow avalanches of localized, micro-mechanical instabilities.

These avalanches are thermal – they span many timescales and are driven by facilitation and noise. The avalanches’ size and the inter-instability times are power-law distributed and exhibit a unique property – the distributions maintain their scaling exponents throughout the ageing process, but their cut-offs grow in time. Crucially, the quiescent dwell times between avalanches grow in proportion to the system’s age, which leads to the observed dynamic slow-down and logarithmic aging. We link this effect to a slow increase of the lowest local energy barriers, which we find govern the initiation of avalanches.

Applying our analysis to the temporal dynamics of seismic aftershocks reveals strikingly similar results, suggesting that a similar physical mechanism underlies aftershock dynamics and the celebrated phenomenology of Omori’s law.

 

 

:Bio

Yoav Lahini earned a B.Sc. in physics from the Hebrew University, and an M.Sc. and PhD in Physics from the Weizmann Institute, working on nonlinear and quantum optics in disordered media. He then spent three years at MIT as a Pappalardo postdoctoral fellow and two additional years at Harvard as a research associate, working on the far-from-equilibrium dynamics of complex and disordered systems. In 2017 Yoav opened the Soft and Complex Matter Lab in the school of Physics at Tel Aviv university.

 

EE Seminar: Undetectable Watermarks for Language Models

18 בנובמבר 2024, 12:00 
אולם 011  
EE Seminar: Undetectable Watermarks for Language Models

(The talk will be given in English)

 

Speaker:     Dr. Or Zamir

                             School of Computer Science, Tel Aviv University 

 

011 hall, Electrical Engineering-Kitot Building‏

Monday, November 18th, 2024

12:00 - 13:00

 

Undetectable Watermarks for Language Models

 

Abstract

Recent advances in the capabilities of large language models such as GPT-4 have spurred increasing concern about our ability to detect AI-generated text. Prior works have suggested methods of embedding watermarks in model outputs, by noticeably altering the output distribution. We ask: Is it possible to introduce a watermark without incurring any detectable change to the output distribution?

To this end we introduce a cryptographically-inspired notion of undetectable watermarks for language models. That is, watermarks can be detected only with the knowledge of a secret key; without the secret key, it is computationally intractable to distinguish watermarked outputs from those of the original model. In particular, it is impossible for a user to observe any degradation in the quality of the text. Crucially, watermarks should remain undetectable even when the user is allowed to adaptively query the model with arbitrarily chosen prompts. We construct undetectable watermarks based on the existence of one-way functions, a standard assumption in cryptography.

We will also cover subsequent generalizations to steganography, and robust versions.

 Short Bio

Or Zamir is an assistant professor at the school of computer science in Tel Aviv University. Prior to that, he did his postdoc at the Institute for Advanced Study and Princeton University. His research interests include algorithms, data structures, and theoretical computer science. 

 

השתתפות בסמינר תיתן קרדיט שמיעה = עפ"י רישום שם מלא + מספר ת.ז. בטופס הנוכחות שיועבר באולם במהלך הסמינר

 

 

 

Physical Electronics Seminar : Building blocks for nanoscale magnetic resonance imaging

סמינר שמיעה לתלמידי תואר שני ושלישי

14 בנובמבר 2024, 11:00 
Room 011 Kitot Building  
  Physical Electronics Seminar : Building blocks for nanoscale magnetic resonance imaging

 

  -סמינר זה יחשב כסמינר שמיעה לתלמידי תואר שני ושלישי-  This Seminar Is Considered A Hearing Seminar For Msc/Phd Students-

 

 

EE Seminar: HydroNeRF: NeRF for Scenes with Air and Water

13 בנובמבר 2024, 15:30 
אולם 011  
EE Seminar: HydroNeRF: NeRF for Scenes with Air and Water

Electrical Engineering Systems Seminar

 

Speaker: Osher Stamker

M.Sc. student under the supervision of Prof. Shai Avidan & Prof. Alex Liberzon

 

Wednesday, 13th November 2024, at 15:30

Room 011, Kitot Building, Faculty of Engineering

HydroNeRF: NeRF for Scenes with Air and Water

 

Abstract

Neural Radiance Fields (NeRF) revolutionized the field of view synthesis by providing high-quality, photorealistic novel views from unstructured image collections. As a side benefit, it is possible to measure geometric properties in the scene (such as distances between 3D points) based on a depth map that is extracted from NeRF.

However, NeRF models struggle with complex light interactions, such as reflections and refractions, often resulting in inaccurate renderings. Going beyond view synthesis, accurate 3D measurements of objects submerged in liquid is also important for fluid mechanics.

In this work, we introduce HydroNeRF, an enhanced NeRF framework designed to accurately model light refraction and handle reflective scenes. Our approach leverages Snell's law to model the bending of light rays as they transition between different media (air, glass, water), and integrates a Deformation Network to render the scene.

We collected a dataset of challenging scenes that contain objects submerged in water tanks and show that HydroNeRF can be used to measure distances between 3D points more accurately than NeRF.

 

השתתפות בסמינר תיתן קרדיט שמיעה = עפ"י רישום שם מלא + מספר ת.ז. בדף הנוכחות שיועבר באולם במהלך הסמינר

 

 

 

 

EE Seminar: Is There a Needle in the Haystack

13 בנובמבר 2024, 15:00 
אולם 011  
EE Seminar: Is There a Needle in the Haystack

Electrical Engineering Systems Seminar

 

Speaker: Shoval Mishal

M.Sc. student under the supervision of Prof. Shai Avidan

 

Wednesday, 13th November 2024, at 15:00

Room 011, Kitot Building, Faculty of Engineering

Is There a Needle in the Haystack?

Abstract

We are interested in detecting the existence of novel object classes in aerial images, without specifying these novel classes ahead of time.

In our setting, we are equipped with a detector capable of detecting a closed set of objects (e.g., vehicles, planes) but wish to determine if other, unspecified, object classes, that are of interest (say, ships), appear in the images as well. This open vocabulary problem poses two challenges. The first is scale, as there are tens of millions of patches to evaluate. The second is vagueness. How do you determine whether a given patch contains a semantically meaningful object of interest or just an interesting background pattern?

To address these challenges, we propose a funnel approach that gradually reduces the number of patches of interest from tens of millions to a short list of few tens of thousands. The patches in the short list are ranked automatically and shown to a human operator. We therefore measure performance by ``Time-To-1st(TT-1), i.e. the time it takes a human to find the first instance of interesting new classes in aerial images, and show we are capable of producing such a sample within the first few patches. Our code will be made publicly available.

 

השתתפות בסמינר תיתן קרדיט שמיעה = עפ"י רישום שם מלא + מספר ת.ז. בדף הנוכחות שיועבר באולם במהלך הסמינר

 

 

Physical Electronics Seminar Recording and analyzing high resolution electrophysiological data from freely behaving humans

סמינר שמיעה לתלמידי תואר שני ושלישי

07 בנובמבר 2024, 11:00 
Room 011 Kitot Building  
  Physical Electronics Seminar  Recording and analyzing high resolution electrophysiological data from freely behaving humans

 

  -סמינר זה יחשב כסמינר שמיעה לתלמידי תואר שני ושלישי-  This Seminar Is Considered A Hearing Seminar For Msc/Phd Students-

 

 

LMI Seminar: Atomic arrays as programmable quantum processors and sensors

06 בנובמבר 2024, 13:00 
הפקולטה להנדסה אוניברסיטת תל אביב, בנין כיתות ,אולם 011  
LMI Seminar: Atomic arrays as programmable quantum processors and sensors

 

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