Demo Data from EDBT 2026 / reviewers in the wild / expert
Anton Zilman
dblp:12/11009
· DBLP profile ↗
6ranked-venue papers
2as first author
4since 2021 · last 2025
0000-0002-8523-6703ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 5 · 2 first-author · 3 since 2021Artificial intelligence and machine learning · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Artificial intelligence
1 paper |
Deep learning architectures and training · 33% Generative modeling · 33% Probabilistic and Bayesian machine learning · 33% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Generative modeling
energy-based model |
0.5 | 1 | 2021 | On the mapping between Hopfield networks and Restricted Boltzmann Machines · ICLR 2021 |
Machine learning › Deep learning architectures and training › recurrent neural network
hopfield network |
0.5 | 1 | 2021 | On the mapping between Hopfield networks and Restricted Boltzmann Machines · ICLR 2021 |
Machine learning › Probabilistic and Bayesian machine learning › boltzmann machine
restricted boltzmann machine |
0.5 | 1 | 2021 | On the mapping between Hopfield networks and Restricted Boltzmann Machines · ICLR 2021 |
Methods — techniques the papers use, named apart from their topics
restricted boltzmann machine · 0.5hopfield network · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Elucidating Mechanics of T-cell Signaling: Modelling Surface Receptor Pathways Using Artificial Neural Networks
Julie Midroni, Duncan Kirby, Anton Zilman |
AIME (1) | 3 |
| 2025 | Specificity and tunability of efflux pumps: A new role for the proton gradient?abstractEfflux pumps that transport antibacterial drugs out of bacterial cells have broad specificity, commonly leading to broad spectrum resistance and limiting treatment strategies for infections. It remains unclear how efflux pumps can maintain this broad spectrum specificity to diverse drug molecules while limiting the efflux of other cytoplasmic content. We have investigated the origins of this broad specificity using theoretical models informed by the experimentally determined structural and kinetic properties of efflux pumps. We developed a set of mathematical models describing operation of efflux pumps as a discrete cyclic stochastic process across a network of states characterizing pump conformations and the presence/absence of bound ligands and protons. These include a minimal three-state model that lends itself to clear analytic calculations as well as a five-state model that relaxes some of the simpler model's most strict assumptions. We found that the pump specificity is determined not solely by the drug affinity to the pump-as is commonly assumed-but it is also directly affected by the periplasmic pH and the transmembrane potential. Therefore, changes to the proton concentration gradient and voltage drop across the membrane can influence how effective the pump is at extruding a particular drug molecule. Furthermore, we found that while both the proton concentration gradient across the membrane and the transmembrane potential contribute to the thermodynamic force driving the pump, their effects on the efflux enter not strictly in a combined proton motive force. Rather, they have two distinguishable effects on the overall throughput. These results highlight the unexpected effects of thermodynamic driving forces out of equilibrium and illustrate how efflux pump structure and function are conducive to the emergence of multidrug resistance. Matthew Gerry, Duncan Kirby, Boian S. Alexandrov, Dvira Segal, Anton Zilman |
PLoS Comput. Biol. | 5 |
| 2023 | Spatial exclusion leads to "tug-of-war" ecological dynamics between competing species within microchannelsabstractCompetition is ubiquitous in microbial communities, shaping both their spatial and temporal structure and composition. Classical minimal models of competition, such as the Moran model, have been employed in ecology and evolutionary biology to understand the role of fixation and invasion in the maintenance of population diversity. Informed by recent experimental studies of cellular competition in confined spaces, we extend the Moran model to incorporate mechanical interactions between cells that divide within the limited space of a one-dimensional open microchannel. The model characterizes the skewed collective growth of the cells dividing within the channel, causing cells to be expelled at the channel ends. The results of this spatial exclusion model differ significantly from those of its classical well-mixed counterpart. The mean time to fixation of a species is greatly accelerated, scaling logarithmically, rather than algebraically, with the system size, and fixation/extinction probability sharply depends on the species' initial fractional abundance. By contrast, successful takeovers by invasive species, whether through mutation or immigration, are substantially less likely than in the Moran model. We also find that the spatial exclusion tends to attenuate the effects of fitness differences on the fixation times and probabilities. We find that these effects arise from the combination of the quasi-neutral "tug-of-war" diffusion dynamics of the inter-species boundary around an unstable equipoise point and the quasi-deterministic avalanche dynamics away from the fixed point. These results, which can be tested in microfluidic monolayer devices, have implications for the maintenance of species diversity in dense bacterial and cellular ecosystems where spatial exclusion is central to the competition, such as in organized biofilms or intestinal crypts. Jeffrey J. Rothschild, Joshua N. Milstein, Anton Zilman |
PLoS Comput. Biol. | 4 |
| 2021 | On the mapping between Hopfield networks and Restricted Boltzmann Machines
Matthew Smart, Anton Zilman |
ICLR | 2 |
| 2010 | Enhancement of Transport Selectivity through Nano-Channels by Non-Specific CompetitionabstractThe functioning of living cells requires efficient and selective transport of materials into and out of the cell, and between different cellular compartments. Much of this transport occurs through nano-scale channels that do not require large scale molecular re-arrangements (such as transition from a 'closed' to an 'open' state) and do not require a direct input of metabolic energy during transport. Nevertheless, these 'always open' channels are highly selective and pass only their cognate molecules, while efficiently excluding all others; indeed, these channels can efficiently transport specific molecules even in the presence of a vast excess of non-specific molecules. Such biological transporters have inspired the creation of artificial nano-channels. These channels can be used as nano-molecular sorters, and can also serve as testbeds for examining modes of biological transport. In this paper, we propose a simple kinetic mechanism that explains how the selectivity of such 'always open' channels can be based on the exclusion of non-specific molecules by specific ones, due to the competition for limited space inside the channel. The predictions of the theory account for the behavior of the nuclear pore complex and of artificial nanopores that mimic its function. This theory provides the basis for future work aimed at understanding the selectivity of various biological transport phenomena. Anton Zilman, Stefano Di Talia, Tijana Jovanovic-Talisman, Brian T. Chait, Michael P. Rout, Marcelo O. Magnasco |
PLoS Comput. Biol. | 1 |
| 2007 | Efficiency, Selectivity, and Robustness of Nucleocytoplasmic TransportabstractAll materials enter or exit the cell nucleus through nuclear pore complexes (NPCs), efficient transport devices that combine high selectivity and throughput. NPC-associated proteins containing phenylalanine-glycine repeats (FG nups) have large, flexible, unstructured proteinaceous regions, and line the NPC. A central feature of NPC-mediated transport is the binding of cargo-carrying soluble transport factors to the unstructured regions of FG nups. Here, we model the dynamics of nucleocytoplasmic transport as diffusion in an effective potential resulting from the interaction of the transport factors with the flexible FG nups, using a minimal number of assumptions consistent with the most well-established structural and functional properties of NPC transport. We discuss how specific binding of transport factors to the FG nups facilitates transport, and how this binding and competition between transport factors and other macromolecules for binding sites and space inside the NPC accounts for the high selectivity of transport. We also account for why transport is relatively insensitive to changes in the number and distribution of FG nups in the NPC, providing an explanation for recent experiments where up to half the total mass of the FG nups has been deleted without abolishing transport. Our results suggest strategies for the creation of artificial nanomolecular sorting devices. Anton Zilman, Stefano Di Talia, Brian T. Chait, Michael P. Rout, Marcelo O. Magnasco |
PLoS Comput. Biol. | 1 |