Seminar
1087 events
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SeminarA non-negative matrix factorization-based approach to integrating multimodal omics data with automatically tuned hyperparameters
November 16 (Mon) 14:00 - 15:00, 2026
Dorothy Ellis (Postdoctoral Researcher, Laboratory for Integrative Genomics, RIKEN Center for Integrative Medical Sciences (IMS))
Venue: via Zoom
Event Official Language: English
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Seminar
Scaling regimes of the 1D Kuramoto-Sivashinsky equation
November 5 (Thu) 17:00 - 18:30, 2026
Liubov Gosteva (Ph.D. Student, LPMMC, Université Grenoble Alpes, France)
The Kuramoto-Sivashinsky (KS) equation describes various phenomena exhibiting chaos and instabilities, including flames, reaction-diffusion processes, and thin liquid film flows. It resembles the Kardar-Parisi-Zhang (KPZ) equation, with the key difference being the negative "viscosity" in the KS equation. The KS equation is known to belong to the KPZ universality class: at large scales, its statistical properties are governed by the KPZ fixed point, characterized by the dynamical exponent $z=3/2$ and a known PDF of fluctuations. In this talk, I will analyze the stochastic KS equation using the functional renormalization group (FRG). In this framework, attractive fixed points of the FRG equation determine large-scale universal behavior, while unstable fixed points govern small-scale universal behavior. I will show that the two-point correlation function exhibits, besides the KPZ scaling at large scale, another universal scaling regime at small scale, with $z=1$. This scaling is very robust as it is intrinsic to the KS dynamics. It arises from the vanishing of the effective viscosity when evolving from its microscopic negative KS value, to its macroscopic effective positive KPZ value. I will also present results from direct numerical simulations, which confirm these findings.
Venue: via Zoom
Event Official Language: English
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Seminar
Quantum Creation of the Universe: Reassessing the No-Boundary and Tunneling Proposals
October 30 (Fri) 14:00 - 15:00, 2026
Hiroki Matsui (Researcher, Osaka Central Advanced Mathematical Institute, Osaka Metropolitan University)
How was our Universe created? This is one of the most fundamental questions in cosmology. Quantum cosmology attempts to answer it by using a "wave function of the Universe," and for four decades the discussion has been dominated by two proposals: the no-boundary proposal of Hartle and Hawking, and the tunneling proposal of Vilenkin. The two predict very different initial states for our Universe, yet for a long time there was no common framework in which they could be exactly analyzed and compared. In this talk I will begin with a pedagogical introduction to the wave function of the Universe and to the Lorentzian path integral formulation based on Picard-Lefschetz theory, which makes the gravitational path integral well defined without the ambiguities of the traditional Euclidean approach and allows both proposals to be treated on the same footing. I will then present our recent results. Using Lefschetz-thimble analysis together with resurgence theory, we resolve the Stokes-line ambiguity that had obscured earlier analyses and show that the path integral uniquely yields the tunneling wave function rather than the no-boundary one. The no-boundary saddles nevertheless leave a trace: their contributions exactly cancel the Borel ambiguity of the perturbative quantum-gravity corrections around the tunneling saddle, demonstrating that resurgence is at work in quantum cosmology. I will also discuss what changes beyond general relativity, using Hořava-Lifshitz gravity as a concrete UV-complete example.
Venue: Hybrid Format (3F #359 and Zoom), Main Research Building / via Zoom
Event Official Language: English
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SeminarAI and Scientific Discovery
October 19 (Mon) 14:00 - 15:30, 2026
Joseph Ledsam (Google Health Lead, Japan, Google Japan)
Artificial intelligence is having a transformative impact on health and scientific discovery. This presentation will trace the evolution from foundational breakthroughs to the sophisticated capabilities of today's large-scale AI models. It will explore how these advanced systems are creating new possibilities across the healthcare landscape, from accelerating therapeutic development to enhancing diagnostic processes and interpreting complex medical data. The session will also take a deeper look at the future possibilities for AI in health and explore the emerging role of agentic AI in scientific discovery. The core theme is the responsible development of AI to create tools that assist scientists, support healthcare professionals, and empower users. Bio: Dr Joseph Ledsam leads Google Health in Japan, where he works across AI research, digital health and health in Google products. He has led research in medical AI, genomics and drug discovery published in journals including Nature, Nature Medicine and Nature Methods. Before moving to Japan he worked as a medical doctor in the UK, and founded the Health Research and Genomics teams in Google DeepMind. He obtained his medical degree from The University of Leeds, UK, and was a research fellow at University College London during his clinical residency.
Venue: #435-437, Main Research Building (Main Venue) / via Zoom
Event Official Language: English
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Seminar
From data to cohomologies of digraphs, to representations of categories
October 13 (Tue) 10:30 - 12:00, 2026
Luigi Caputi (Research Fellow, Department of Mathematics, University of Bologna, Italy)
Motivated by applications to topological data analysis, in the last years we have been witnessing a growing interest in new (topological, homological, categorical) features associated to graphs. The aim of the talk is to describe a recently developed (co)homology theory of directed graphs, called multipath cohomology, whose definition is inspired by Khovanov homology of knots. We will show its relations with more established invariants, such as chromatic homology of graphs, Hochschild homology of algebras, and matching complexes. If time allows it, we will show that the ranks of multipath cohomology, when restricted to graphs with bounded genus, grow at most polynomially in the number of edges, and that the order of its torsion is bounded. This will depend upon structural properties of (the representation category of) graphs, such as its Noetherianity properties.
Venue: #359, 3F, Main Research Building (Main Venue) / via Zoom
Event Official Language: English
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SeminarAdaptive Regulation through Model-Observation Mismatch: From Process Control to Cognitive Neurorobotics
October 8 (Thu) 13:00 - 14:00, 2026
Henrique Oyama (Postdoctoral Researcher, Cognitive Neurorobotics Research Unit, Okinawa Institute of Science and Technology Graduate University (OIST))
Adaptive behavior requires biological and artificial systems to respond when their internal models no longer match what they observe. How can such discrepancies be used not only to correct predictions, but also to regulate how a system interacts with its environment? In this talk, I will explore this question across two research directions spanning process control and cognitive neurorobotics. First, I will introduce a model predictive control framework in which a controller actively guides a nonlinear process toward informative conditions to distinguish among competing models while maintaining safe operation. I will then move to cognitive neurorobotics, where brain-inspired computational principles are used to investigate perception, prediction, and action in embodied artificial agents. In physical human-robot interaction, I will show how a predictive-coding-inspired recurrent neural network enables a humanoid robot to regulate the balance between its learned expectations and sensory information arising from human-guided movements. In particular, recent mismatches between sensory observations and the robot's internal model are used to regulate how strongly it relies on its learned dynamics or accommodates ongoing interaction. Together, these studies illustrate how model-observation mismatch can provide a general signal for adaptive regulation, connecting ideas from control engineering, artificial intelligence, neuroscience, and embodied cognition.
Venue: Hybrid Format (3F #359 and Zoom), Main Research Building / via Zoom
Event Official Language: English
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Seminar Tomorrow
Tannaka duality for spectral sheaves on compact Hausdorff spaces
September 17 (Thu) 15:00 - 16:30, 2026
Ko Aoki (Postdoc, University of Copenhagen, Denmark)
Tannaka duality asks to what extent a geometric object can be recovered from a category naturally associated with it. In this talk, the geometric objects are topological spaces, and the associated categories are their categories of sheaves of spectra. I showed that, for compact Hausdorff spaces X and Y, every colimit-preserving symmetric monoidal functor from Shv(X; Sp) to Shv(Y; Sp) arises uniquely from a continuous map from Y to X, where Shv(X; Sp) denotes the (∞, 1)-category of sheaves of spectra on X. The main ingredient is an adjunction between the construction of sheaves and a new variant of the smashing spectrum. I will also discuss variants of this machinery to broader classes of spaces, including ongoing work on toposes.
Venue: via Zoom / Seminar Room #359
Event Official Language: English
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Seminar
Primtive form of singularity and mirror symmetry
September 11 (Fri) 15:30 - 17:30, 2026
Zhe Wang (Research Scientist, Division of Fundamental Mathematical Science, RIKEN Center for Interdisciplinary Theoretical and Mathematical Sciences (iTHEMS))
In 1980s, K. Saito introduced the primitive forms in his study of periods as to generalize the elliptic period integral theory to higher dimensions. An important consequence was that there exists a flat structure on the space of universal unfolding of a singularity. Later after Witten proposed his famous conjecture relating the intersection theory on moduli space to the integrable hierarchy, this flat structure was re-discovered by Dubrovin, and nowadays it is referred as a Frobenius mafniold structure. Frobenius mafniolds provide a convenient tool for formulating the mirror symmetry, which was a special type of duality among string theories orginally studied by physicits. In this talk, I will explain the related constructions, and show by examples how the study of primitive forms gives prediction of geometric quantities such as Gromov-Witten invariants.
Venue: #359, 3F, Seminar Room #359 / via Zoom
Event Official Language: English
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Seminar
Making robust reionisation 21 cm signal predictions with C21LRT
September 11 (Fri) 14:00 - 15:15, 2026
Qin Han (JSPS International Research Fellow, Shibaura Institute of Technology)
The redshifted 21 cm line signal is a unique probe for the Epoch of Reionisation by tracking the evolution of the averaged intergalactic medium properties as well as their fluctuations, enabling tomographic studies. Accurate modelling of the 21 cm global and power spectrum signals is crucial for interpreting measurements from current and forthcoming 21 cm experiments. Theoretical predictions usually post-process reionisation simulations with optical depth approximation, which treats local line broadening and peculiar velocities approximately and often leads to divergences due to its velocity gradient term. I will present our cosmological 21 cm line radiative transfer (C21LRT) formulation which resolve these issues naturally. I will compare the 21-cm signals calculated with C21LRT and the conventional optical depth method, and highlight the need to fully quantify the uncertainties of using the optical depth method for exploring the 21-cm signals associated from various possible reionisation scenarios.
Venue: Hybrid Format (2F #220 and Zoom), Main Research Building
Event Official Language: English
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Seminar
Magic state distillation and cultivation #2
September 10 (Thu) 13:30 - 17:00, 2026
Yutaka Hirano (Research Scientist, Nanofiber Quantum Technologies)
Venue: Seminar Room #359 (Main Venue) / via Zoom
Event Official Language: Japanese
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Seminar
Magic state distillation and cultivation #1
September 10 (Thu) 10:30 - 12:00, 2026
Yutaka Hirano (Research Scientist, Nanofiber Quantum Technologies)
Venue: Seminar Room #359 (Main Venue) / via Zoom
Event Official Language: Japanese
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Seminar
How fungi generate one of the highest pressures in biology: the cell wall as a living nanoporous material
September 7 (Mon) 14:00 - 15:00, 2026
Naoyoshi Kumakura (Senior Research Scientist, RIKEN Center for Sustainable Resource Science (CSRS))
Many devastating crop diseases, including anthracnose and rice blast, begin when a fungal pathogen builds a single infection cell called an appressorium. This single cell generates up to ~8 megapascals of turgor pressure (roughly 40 times a car tire’s air pressure), among the highest documented in any living organism, to physically rupture the plant's tough surface. This pressure arises because the cell wall acts as a semipermeable membrane, retaining internal osmolytes such as glycerol while allowing water to pass. What confers this selective permeability had remained unknown for decades: melanin was long assumed responsible, but turgor still forms in melanin-deficient mutants. Using genome editing and direct biochemical analysis of these fungi, we identified two enzymes, PKS2 and PBG13, that synthesize a novel polymer from dihydroxyhexanoic acid (DHHA), which narrows cell-wall pore size at the nanometer scale and is required for turgor generation (Kumakura* et al., Science, 2026). I will frame this system as a living adaptive porous material and discuss questions open to mathematical and physical modeling, including how pore geometry sets the limits of selective permeability.
Venue: Hybrid Format (3F #359 and Zoom), Seminar Room #359
Event Official Language: English
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Seminar
Dualizable Additive Categories
September 4 (Fri) 14:00 - 15:30, 2026
Vladimir Sosnilo (Research Scientist, Division of Fundamental Mathematical Science, RIKEN Center for Interdisciplinary Theoretical and Mathematical Sciences (iTHEMS))
We will discuss the notion of a dualizable additive category. Examples include the category of connective modules over an almost ring in the sense of Gabber--Ramero and the category of nuclear modules in the sense of Clausen and Scholze. Most of the theory parallels the theory of dualizable stable categories, and, in particular, any dualizable additive category can be represented as the category of connective modules over a connective almost ring. The theory is also equivalent to the theory of compactly assembled additive categories of Efimov. As the main application of the theory, we prove a universal property of the category of nuclear modules over uniform Tate rings, that doesn't involve condensed mathematics. This talk is based on a joint work with Ishan Levy and Jiancheng Liang.
Venue: via Zoom / Seminar Room #359
Event Official Language: English
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Seminar
Cancellation of loop corrections to soft power spectrum of inflation
September 3 (Thu) 16:30 - 18:00, 2026
Muzi Hong (Postdoctoral Researcher, Division of Fundamental Mathematical Science, RIKEN Center for Interdisciplinary Theoretical and Mathematical Sciences (iTHEMS))
Inflation theory provides an explanation for the seeds of structure formation and inhomogeneities in the cosmic microwave background (CMB) through quantum fluctuations stretched to cosmological scales during inflation. Mechanisms that enhance small-scale curvature perturbations during inflation can lead to the formation of primordial black holes after horizon re-entry. Recently, some arguments have claimed that loop corrections from such enhanced small-scale fluctuations can give a scale-invariant contribution to the large-scale power spectrum and thereby spoil the inflationary prediction for the CMB. This appears to challenge the standard tree-level expectation that large-scale curvature perturbations are conserved on superhorizon scales in single-clock inflation, and has ignited discussion. In this talk, I will show that the scale-invariant contribution from the enhanced small-scale fluctuations indeed cancels, both in an explicit one-loop calculation and as a consequence of the diffeomorphism symmetry of General Relativity. This seminar is jointly organized by the iTHEMS–ABBL Joint Astro Study Group and the Cosmology Study Group.
Venue: Seminar Room #359 (Main Venue) / via Zoom
Event Official Language: English
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Seminar
Can Electric Sheep Evolve? Engineering Evolution in Populations of Language-Model Agents
September 3 (Thu) 15:00 - 16:00, 2026
Ivan Romić (Research Scientist, Mathematical Social Science Team, Division of Applied Mathematical Science, RIKEN Center for Interdisciplinary Theoretical and Mathematical Sciences (iTHEMS))
The idea of artificial intelligence that evolves has long been a theme in science fiction. It also has roots in early research on complex adaptive systems and artificial societies, including Holland’s Echo framework and Epstein and Axtell’s Sugarscape, which modeled adaptation, resource competition, reproduction, and cultural transmission among artificial agents. Contemporary LLM development, however, has largely centered on pretrained models and gradient-based post-training, while explicitly Darwinian population processes have remained comparatively peripheral. This seminar reviews an emerging literature on evolutionary optimization, cultural transmission, and population dynamics in LLM-based agents. I distinguish systems that merely borrow evolutionary terminology from those implementing meaningful variation, heredity, and reproduction. I then assess the strengths and limitations of current studies and ask whether such processes can support cumulative adaptation, collective intelligence, and potentially new levels of organization among artificial agents.
Venue: Seminar Room #359 (Main Venue) / via Zoom
Event Official Language: English
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Seminar
Computational demands shape seizure susceptibility in recurrent neural networks
September 3 (Thu) 13:00 - 14:00, 2026
Sebastian Eydam (Research Scientist, Neural Circuits and Computations Unit, RIKEN Center for Brain Science (CBS))
Why do some brain areas slip into seizures more readily than others? Anatomy and physiology are part of the story, but in this talk we argue that the computation a network performs is itself a determinant of its vulnerability. Working in the language of recurrent neural networks and attractor dynamics, we contrast two computational regimes: networks that represent continuous variables (e.g. tracking a continuous position in space) establish barrier-free state manifolds, whereas networks that store discrete memories have to separate different states by establishing deep wells. A simple energy-landscape picture suggests that continuous networks can amplify perturbations into runaway activity more easily while discrete networks contain them. We test this idea across three systems: handcrafted spiking attractor networks, recurrent networks trained on continuous or discrete computational tasks, and in vivo Neuropixels recordings comparing medial entorhinal cortex (continuous, grid-cell dynamics) with hippocampal CA3 (discrete memory). Under a shared disinhibitory "seizure perturbation," the continuous systems destabilize sooner and drive stronger epileptiform activity, and causal silencing shows this depends on intact entorhinal output. Together, these results establish a direct link between the computation a network is built to perform and its susceptibility to seizures, showing that the very features that enable a network to process information also shape its vulnerability to pathological transitions.
Venue: via Zoom / #359, 3F, Seminar Room #359
Event Official Language: English
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Seminar
Finite cut-off holography and Matrix models
September 3 (Thu) 10:30 - 11:45, 2026
Sounak Pal (Student, Indian Institute of Technology Gandhinagar, India)
In this talk, I will discuss finite-cutoff models of two-dimensional topological gravity and their relation to random matrix theories. Random matrix models have emerged as a useful tool for understanding and refining semiclassical holographic dualities, particularly in low-dimensional quantum gravity. I will begin with a brief introduction to large-(N) matrix models and then describe their connection to low-dimensional topological quantum field theories. Along the way, I will highlight how introducing a finite cutoff can lead to significant modifications in the growth of the black-hole interior compared with the matrix-model description of pure JT gravity. Finally, I will discuss the relation between (TT-bar)-deformed Schwarzian theories and their gravitational bulk duals, emphasizing how these deformations provide an avenue for exploring finite-cutoff holography and possible departures from the standard JT-gravity picture.
Venue: #359, 3F, Main Research Building / via Zoom
Event Official Language: English
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Seminar
Coulomb branches in supersymmetric gauge theories
August 28 (Fri) 15:30 - 17:00, 2026
Hiraku Nakajima (Professor, Kavli Institute for the Physics and Mathematics of the Universe (Kavli IPMU), The University of Tokyo)
Supersymmetric gauge theories in 3 and 4 dimensions have no mathematically rigorous foundation. Coulomb branches of gauge theories originally defined via low energy effective theories by non-rigorous physical argument in 90s. I will explain how I interpret this original argument and make a mathematically rigorous definition of Coulomb branches in my joint work with Braverman and Finkelberg.
Venue: Okochi Hall (Main Venue) / via Zoom
Event Official Language: English
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Seminar
Multistability in Biochemical Reaction Systems: Structural Approach
August 27 (Thu) 16:00 - 17:00, 2026
Takashi Okada (Associate Professor, Program of Mathematical and Life Sciences, Graduate School of Integrated Sciences for Life, Hiroshima University)
In living cells, biochemical reactions form intricate networks that can exhibit multistability, allowing a single system to maintain multiple stable states under identical conditions. However, determining theoretically whether a given reaction system can exhibit multistability is challenging because detailed kinetic parameters are often unknown. In this presentation, we introduce a structural framework that decomposes biochemical networks into subnetworks based solely on network topology. For each subnetwork, we define a scalar quantity, and an index-theoretic argument shows that the sign of this quantity determines whether the subnetwork can contribute to multistability. Our method identifies indicator species whose concentrations distinguish all steady states without detailed kinetic information, thereby enabling efficient measurement design in large networks.
Venue: via Zoom
Event Official Language: English
1087 events
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