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December 01, 2014

  • Date:29WednesdayMay 2024

    Machine Learning and Statistics Seminar

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    Time
    11:15 - 12:15
    Title
    First-Order Methods for Sparse Optimization
    Location
    Jacob Ziskind Building
    LecturerNadav Hallak
    Technion
    Organizer
    Department of Computer Science and Applied Mathematics
    Contact
    AbstractShow full text abstract about Sparse solutions play a crucial role in various fields due t...»
    Sparse solutions play a crucial role in various fields due to their compact representation, interpretability, robustness, and better generalization. This talk focuses on first-order methods for composite problems with an explicit sparsity expression, and the connection between the optimality conditions they achieve. I will show that the proximal-gradient operation can be implemented efficiently for classes of composite problems in spite of the sparsity element, and will present component-wise methods that achieve better solutions compared to the proximal-gradient. Finally, a conditional gradient based method that balances between the advantages and disadvantages of the proximal-gradient and the component-wise methods will be presented.
    Lecture
  • Date:29WednesdayMay 2024

    Measuring conformational equilibria in allosteric proteins with time-resolved tmFRET

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    Time
    14:00 - 15:00
    Location
    Gerhard M.J. Schmidt Lecture Hall
    LecturerProf. Sharona Gordon
    Professor of Physiology & Biophysics, University of Washington School of Medicine
    Organizer
    Department of Chemical and Structural Biology
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    Lecture
  • Date:30ThursdayMay 2024

    Vision and AI

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    Time
    12:15 - 13:15
    Title
    Editing methods for Text-to-Image Models
    Location
    Jacob Ziskind Building
    LecturerHadas Orgad
    Technion
    Organizer
    Department of Computer Science and Applied Mathematics
    Contact
    AbstractShow full text abstract about Text-to-image generative diffusion models are trained on hug...»
    Text-to-image generative diffusion models are trained on huge amounts of web-scraped image-caption pairs. As a result, these models encode real-world information and correlations, such as the identity of the President of the United States, or the color of the sky. While this knowledge can be useful, and allows easy and efficient generation of beautiful images from simple prompts, it may also be outdated, reflect assumptions and biases (e.g., doctors are always white male), or violate copyrights (as was demonstrated in recent lawsuits for models imitating artistic styles). However, model providers and creators currently have no efficient means to update models without either retraining them---which is costly in computation and time, and might also require data curation---or requiring explicit prompt engineering from the end user. In this talk, we will discuss three of our recent papers, which aim to offer a fast and practical way to control model behavior post-training. We modify a small, targeted part of the model that is responsible for encoding a certain part in the computation process of the deep network. This is done without training, by editing the model weights using a closed-form solution. The different papers target different parts of the model, as well as various types of information encoded in it: implicit assumptions, factual associations, artistic style, social biases, and harmful content. We will also discuss some of the interpretability aspects and insights that can be gained from these editing methods. Overall, the methods presented in the talk offer a fast and practical means for safe deployment of text-to-image models. 
    Lecture
  • Date:02SundayJune 2024

    Preparing to chew and digest: development and renewal in the mouth and gut

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    Time
    10:00 - 11:00
    Location
    Arthur and Rochelle Belfer Building for Biomedical Research
    LecturerProf. Ophir Klein
    Executive Director, Cedars-Sinai Guerin Children's Director, Program in Craniofacial Biology University of California, San Francisco
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    Lecture
  • Date:02SundayJune 2024

    The Role of Cloud Morphology in Aerosol-Cloud Interactions 

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    Time
    11:00 - 11:00
    Location
    Sussman Family Building for Environmental Sciences
    LecturerTom Goren
    Bar Ilan University
    Organizer
    Department of Earth and Planetary Sciences
    Contact
    AbstractShow full text abstract about Aerosol-cloud interactions are extensively studied to unders...»
    Aerosol-cloud interactions are extensively studied to understand the climatic effect of anthropogenic aerosols, as the latter can change the radiative properties of clouds. Despite the clear presence of different cloud morphologies (i.e., the spatial variation of cloud thickness), the impact of aerosol-cloud interactions under different cloud morphologies is often overlooked. I will show that accounting for cloud morphology is essential for a better process understanding and for an accurate assessment of the radiative forcing due to aerosol-cloud interactions.
    Lecture
  • Date:03MondayJune 2024

    Arrays of noisy, coupled circadian clocks in a multicellular cyanobacterial organism; experiment and stochastic model

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    Time
    11:00 - 12:15
    Location
    Gerhard M.J. Schmidt Lecture Hall
    LecturerProf. Joel Stavans
    Department of Physics of Complex Systems Faculty of Physics, WIS
    Organizer
    Department of Chemical and Biological Physics
    Homepage
    Contact
    AbstractShow full text abstract about Circadian clocks in unicellular phototrophic organisms are k...»
    Circadian clocks in unicellular phototrophic organisms are known to display remarkable reliability. In contrast, not much is known about how circadian clocks perform in a multicellular setting. Are clocks in multicellular cyanobacteria coupled and synchronized with one another? Are clocks entrained only by external cues? What is the spatial extent of synchronization? What is the role of cell-cell variations in copy numbers of molecules comprising the core clock (demographic noise) in setting the temporal pattern and its robustness? To tackle quantitatively these and other questions, we studied the dynamics of a circadian clock-controlled gene in Anabaena sp. PCC 7120, a multicellular cyanobacterium in which cells are arranged one after the other and coupled by protein channels, in a one-dimensional structure. Our real-time, single-cell level measurements showed significant synchronization and spatial coherence along filaments, and clock coupling mediated by cell-cell communication. Furthermore, we found significant variability in expression between different cells along filaments. A stochastic one-dimensional toy model of coupled clocks and their phosphorylation states shows that demographic noise can seed stochastic oscillations outside the region where deterministic limit cycles with circadian periods occur. The model reproduces the observed spatio-temporal coherence along filaments and provides a robust description of coupled circadian clocks in a multicellular organism, despite significant stochasticity in biomolecular reactions. Lastly, we carried out experiments in which developmental processes were induced. Our experiments showed that gene expression in different vegetative intervals along a developed filament was discoordinated, and that differentiation took place preferentially within a limited interval of the circadian clock cycle. The transition to multicellularity demanded coordination between clocks via cell-cell communication, to optimize fitness in the presence of significant demographic noise.
    Colloquia
  • Date:03MondayJune 2024

    Midrasha on Groups Seminar

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    Time
    11:15 - 13:00
    Title
    Cubical fixed-points and random groups
    Location
    Jacob Ziskind Building
    LecturerZachary Munro
    Technion
    Organizer
    Department of Mathematics
    Contact
    AbstractShow full text abstract about A group is cubulated if it acts freely and cocompactly on a ...»
    A group is cubulated if it acts freely and cocompactly on a CAT(0) cube complex, a high-dimensional generalization of a tree. Cubulating hyperbolic groups has proven to be a fruitful endeavor over the past couple decades, as cubulation implies strong subgroup separability and linearity properties. Generalizing property FA, we consider the n-dimensional cubical fixed point property. A group has property FW_n if every action on an n-dimensional CAT(0) cube complex has a global fixed-point. We will show how to produce many examples of FW_n groups and prove that random groups have FW_n for every n.  
    Lecture
  • Date:03MondayJune 2024

    Midrasha on Groups Seminar

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    Time
    11:15 - 13:00
    Title
    Cubical fixed-points and random groups
    Location
    Jacob Ziskind Building
    LecturerZachary Munro
    Technion
    Organizer
    Department of Mathematics
    Contact
    AbstractShow full text abstract about A group is cubulated if it acts freely and cocompactly on a ...»
    A group is cubulated if it acts freely and cocompactly on a CAT(0) cube complex, a high-dimensional generalization of a tree. Cubulating hyperbolic groups has proven to be a fruitful endeavor over the past couple decades, as cubulation implies strong subgroup separability and linearity properties. Generalizing property FA, we consider the n-dimensional cubical fixed point property. A group has property FW_n if every action on an n-dimensional CAT(0) cube complex has a global fixed-point. We will show how to produce many examples of FW_n groups and prove that random groups have FW_n for every n.  
    Lecture
  • Date:03MondayJune 2024

    Midrasha on Groups Seminar

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    Time
    14:15 - 16:00
    Title
    mod 2 cohomology, random simplicial complexes, property testing, and coboundry expansion
    Location
    Jacob Ziskind Building
    LecturerAlex Lubotzky
    Weizmann
    Organizer
    Department of Mathematics
    Contact
    AbstractShow full text abstract about We will start with an elementary introduction to mod 2 cohom...»
    We will start with an elementary introduction to mod 2 cohomology (only basic linear algebra is needed). We will then see how it relates to the other topics in the title. If time permits, we will also say something about quantum error correcting codes.
    Lecture
  • Date:04TuesdayJune 2024

    Or Amar’s Thesis Defense

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    Time
    09:30 - 09:30
    Title
    Discovery of enzymes for degrading anthropogenic materials using knowledge graph embedding
    Location
    Benoziyo Room 290
    Organizer
    Department of Plant and Environmental Sciences
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    Lecture
  • Date:04TuesdayJune 2024

    Lineage tracing in the pancreas reveal the pancreatic ductal adenocarcinoma cell of origin

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    Time
    10:00 - 11:00
    Location
    Nella and Leon Benoziyo Building for Biological Sciences
    LecturerDr. Gabriela Koifman
    Department of Biomolecular Sciences
    Organizer
    Department of Biomolecular Sciences
    Contact
    AbstractShow full text abstract about Pancreatic ductal adenocarcinoma (PDAC) is one of the deadli...»
    Pancreatic ductal adenocarcinoma (PDAC) is one of the deadliest cancers with a five-year survival rate of ˜12.5% and is the fourth leading cause of cancer-related death in the western world, estimated to become the second leading cause of cancer related death by the year 2030. PDAC is characterized by a high metastatic burden leading to poor patient outcome. This capability to induce metastatic growth has been ascribed to specific sub-clones within tumours. Intra tumour heterogeneity in PDAC is also exemplified by the coexistence of a tumour hierarchy consisting of phenotypically different sub-populations that harbour unique proliferative, tumourigenic and chemoresistant capacities. Understanding PDAC hierarchies might be a crucial step to identify the cells of origin of PDAC, which will provide an important avenue that will allow deeper understanding of the disease and the development of more effective treatments for PDA patients. Given the ductal morphology of PDAC, ductal cells have for long been the main candidates as tumour initiating cells. However, more recent studies seemed to suggest that PDAC originate from non-ductal, endocrine or acinar cells, transdifferentiating into a ductal-like morphology. Recently, by utilizing commonly used genetic mouse model, we were able to identify a subpopulation of cells within the acinar cell population that is responsible for tumour initiation and serves as the cell of origin of PDAC in this mouse model. we have identified the gene signature of PDAC acinar cell of origin that consist of proliferation and stem cell associated gene signatures. This characterization might lead to the identification of early disease biomarkers and new therapeutic approaches to target the disease and improve the outcome PDAC patients.
    Lecture
  • Date:04TuesdayJune 2024

    Blood flow perturbations and its impact on brain structure and function: from microstrokes to heartbeats

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    Time
    12:30 - 13:30
    Location
    Gerhard M.J. Schmidt Lecture Hall
    LecturerProf. Pablo Blinder
    Dept of Neurobiology, Tel Aviv University
    Organizer
    Department of Brain Sciences
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    Lecture
  • Date:04TuesdayJune 2024

    The Clore Center for Biological Physics

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    Time
    13:15 - 14:30
    Title
    Flexoelectricity versus Electrostatics in Polar Nematic Liquid Crystals
    Location
    Nella and Leon Benoziyo Physics Library
    LecturerProf. Jonathan Selinger
    Kent State University
    Organizer
    Clore Center for Biological Physics
    Contact
    AbstractShow full text abstract about In the most common phase of liquid crystals, called the ne...»

    In the most common phase of liquid crystals, called the nematic phase, molecules are aligned up or down along some axis, so that the net electrostatic polarization is zero. Recent experiments have found a new class of liquid crystals, called ferroelectric nematic, in which molecules align predominantly in one direction along the axis, leading to a nonzero polarization. From the perspective of statistical mechanics, the ferroelectric nematic phase has two special features. First, it has flexoelectricity, meaning that the polarization induces a splay of the molecular orientation. Second, the energy includes an electrostatic interaction, which favors a domain structure. In this talk, we discuss the competition between those two effects to control the phase behavior.
    FOR THE LATEST UPDATES AND CONTENT ON SOFT MATTER AND BIOLOGICAL PHYSICS AT THE WEIZMANN, VISIT OUR WEBSITE: https://www.biosoftweizmann.com/
    Lecture
  • Date:04TuesdayJune 2024

    Synthetic Biology Platforms to Study Biological Systems and for Biomedical Applications

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    Time
    14:00 - 15:00
    Location
    Gerhard M.J. Schmidt Lecture Hall
    LecturerDr. Lior Nissim
    The Faculty of Medicine Hebrew University
    Organizer
    Department of Chemical and Structural Biology
    Contact
    Lecture
  • Date:05WednesdayJune 2024

    Memory consolidation and generalization during sleep

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    Time
    10:00 - 11:00
    Location
    Nella and Leon Benoziyo Building for Brain Research
    LecturerElla Bar-Student Seminar-PhD Thesis Defense
    Prof. Rony Paz Lab & Prof. Yuval Nir, Tel Aviv University
    Organizer
    Department of Brain Sciences
    Contact
    AbstractShow full text abstract about During sleep, our memories are reactivated and consolidated ...»
    During sleep, our memories are reactivated and consolidated in an active process that significantly influences our memory and decision-making. In this talk, I will present two studies about sleep-memory consolidation. The first study investigated sleep memory consolidation's local versus global properties within the brain. By exploiting the unique functional neuroanatomy of olfactory system, we were able to manipulate sleep oscillations and enhance memories locally within a single hemisphere during sleep. These findings underscore the local nature of sleep memory consolidation, which can be selectively manipulated within the brain, thereby creating an important link between theories of local sleep and learning. The second research explored the relationship between generalization processes and sleep, acknowledging that overgeneralization of negative stimuli and disruptions in sleep quality contribute to anxiety and PTSD disorders. Specifically, we studied participants' responses to stimuli associated with positive, negative, or neutral outcomes. Our findings revealed significant correlations between brain activity, as detected by fMRI, during the association of a stimulus with an outcome and the perceptual generalization of these stimuli. While activity in limbic brain areas was correlated with immediate negative stimulus generalization, we observed that the activation in these areas predicted recovery and positively related generalization following sleep. Moreover, we identified specific sleep oscillations correlated with this recovery generalization using high-density EEG recordings. These results highlight the crucial role of sleep in both generalization processes and the restoration of balanced responses to stimuli. Understanding these mechanisms can offer valuable insights into developing therapeutic strategies for anxiety and PTSD.
    Lecture
  • Date:05WednesdayJune 2024

    Tubular Morphogenesis in a dish

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    Time
    10:00 - 11:00
    Location
    Arthur and Rochelle Belfer Building for Biomedical Research
    LecturerDr. Eyal Karzburn
    Department of Molecular Genetics, WIS
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    Lecture
  • Date:05WednesdayJune 2024

    Machine Learning and Statistics Seminar

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    Time
    11:15 - 12:15
    Title
    Harnessing Literature for Boosting Scientific and Clinical Predictive Models
    Location
    Jacob Ziskind Building
    LecturerTom Hope
    HUJI
    Organizer
    Department of Computer Science and Applied Mathematics
    Contact
    AbstractShow full text abstract about The explosion of scholarly knowledge presents tremendous opp...»
    The explosion of scholarly knowledge presents tremendous opportunities for accelerating research across the sciences. In this talk, I will present recent work toward helping researchers and clinicians make use of knowledge embedded in the literature. I will focus on methods that use information in the literature for training predictive models and generating scientific hypotheses. This includes models that predict (1) clinical outcomes of hospital patients, (2) new links in biomedical knowledge graphs, and (3) hypotheses in computer science research.

    Bio: Tom Hope is an assistant professor at The Hebrew University of Jerusalem's School of Computer Science and Engineering, and a research scientist at The Allen Institute for AI (AI2). Tom was awarded the Azrieli Early Career Faculty Fellowship which is given to eight scientists across all fields of study. Prior to that he was a postdoctoral researcher at AI2 and the University of Washington (UW). His work has received four best paper awards, appeared in top AI, NLP and HCI venues, and received coverage from Nature and Science. https://www.cs.huji.ac.il/~tomhope/
    Lecture
  • Date:05WednesdayJune 2024

    ESR1 mutations: From Discovery to Clinical Practice

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    Time
    14:00 - 15:00
    Location
    Max and Lillian Candiotty Building
    LecturerDr. Rinath Jeselsohn
    Dana Farber Cancer Institute, Harvard Medical School
    Organizer
    Dwek Institute for Cancer Therapy Research
    Contact
    Lecture
  • Date:06ThursdayJune 2024

    Molecular Neuroscience Trainees day 2024

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    Time
    08:30 - 16:00
    Location
    Dolfi and Lola Ebner Auditorium
    Organizer
    Department of Molecular Neuroscience
    Contact
    Lecture
  • Date:06ThursdayJune 2024

    Targeted Metabolic Analysis – Using an Out of the Box Approach

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    Time
    09:00 - 10:00
    Location
    Max and Lillian Candiotty Building
    LecturerDr. Alexander Brandis
    Targeted Metabolomics Unit
    Organizer
    Department of Life Sciences Core Facilities
    Contact
    Lecture

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